Pub Date : 2024-11-16DOI: 10.1016/j.mser.2024.100885
Murali Gedda , Haomin Song , Anil Reddy Pininti , Omar Alkhazragi , Hendrik Faber , Xiaoguang Tu , Husam N. Alshareef , Stefaan De Wolf , Boon S. Ooi , Thomas D. Anthopoulos , Qiaoqiang Gan
Advancements in photodetector (PD) technology are pivotal for the evolution of optical communication and imaging systems. Addressing the demands of these applications necessitates PDs that can deliver both high-speed response and high sensitivity. In this context, we introduce an innovative high-speed PD design utilizing ultrathin two-dimensional metal halide perovskites (2D-MHP), coupled with a planar nanocavity to significantly enhance optical absorptance—achieving more than a fourfold increase in a solution-processed 10-nm-thick 2D-MHP film. This integration facilitates an exceptional response time (30 ns) alongside a high responsivity of 2.12 A W−1. Our method overcomes traditional constraints related to thickness and absorption, thereby optimizing device speed and dark noise features through active area variation. Intriguingly, the nanocavity architecture provided a unique protection of 2D-MHP layers, realizing remarkable operational and environmental stability: our devices maintain performance integrity for over 150 days. Notably, our best-performing cavity-enhanced devices exhibit the capability to establish an optical wireless communication link, achieving a data transmission rate of 20 Mbps. This approach effectively tackles the challenges posed by the low absorption of ultrathin layers, heralding a new era for applications in imaging, optical communication systems, and more.
{"title":"High-speed, self-powered 2D-perovskite photodetectors with exceptional ambient stability enabled by planar nanocavity engineering","authors":"Murali Gedda , Haomin Song , Anil Reddy Pininti , Omar Alkhazragi , Hendrik Faber , Xiaoguang Tu , Husam N. Alshareef , Stefaan De Wolf , Boon S. Ooi , Thomas D. Anthopoulos , Qiaoqiang Gan","doi":"10.1016/j.mser.2024.100885","DOIUrl":"10.1016/j.mser.2024.100885","url":null,"abstract":"<div><div>Advancements in photodetector (PD) technology are pivotal for the evolution of optical communication and imaging systems. Addressing the demands of these applications necessitates PDs that can deliver both high-speed response and high sensitivity. In this context, we introduce an innovative high-speed PD design utilizing ultrathin two-dimensional metal halide perovskites (2D-MHP), coupled with a planar nanocavity to significantly enhance optical absorptance—achieving more than a fourfold increase in a solution-processed 10-nm-thick 2D-MHP film. This integration facilitates an exceptional response time (30 ns) alongside a high responsivity of 2.12 A W<sup>−1</sup>. Our method overcomes traditional constraints related to thickness and absorption, thereby optimizing device speed and dark noise features through active area variation. Intriguingly, the nanocavity architecture provided a unique protection of 2D-MHP layers, realizing remarkable operational and environmental stability: our devices maintain performance integrity for over 150 days. Notably, our best-performing cavity-enhanced devices exhibit the capability to establish an optical wireless communication link, achieving a data transmission rate of 20 Mbps. This approach effectively tackles the challenges posed by the low absorption of ultrathin layers, heralding a new era for applications in imaging, optical communication systems, and more.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"162 ","pages":"Article 100885"},"PeriodicalIF":31.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-16DOI: 10.1016/j.mser.2024.100876
Annan Chen , Jin Su , Muran Zhou , Mingpei Cang , Yinjin Li , Yunsong Shi , Zhen Zhang , Yangzhi Zhu , Bin Su , Yang Liu , Zuo-Guang Ye , Yusheng Shi , Jüergen Röedel , Huachen Cui , Haibo Zhang , Kun Zhou , Jian Lu , Chunze Yan
Piezoelectric biomaterials, capable of converting electrical energy to mechanical energy and vice versa, are desirable for implantable devices that can achieve biosensing, tissue regeneration, anti-infection, and tumor treatment. However, their low piezoelectricity, simple geometry, and monotonous functionality remain challenging towards practical applications. Here, we report the design and additive manufacturing of a series of biocompatible piezoelectric lattice materials with bone-mimicking designs and ultrasound-regulated electrical responses. Barium calcium zirconate titanate (BCZT) with a piezoelectric coefficient d33 up to 580 pC/N was synthesized and used as the parent material of the lattices for additive manufacturing. The as-fabricated BCZT lattices have compressive strength comparable to native trabecular bones, making them promising candidates for implantation and in vivo activation. We show that the lattices allow on-demand activation of anti-tumor or osteogenic functions with programmable non-invasive ultrasound stimuli, both in vitro and in vivo. Our findings provide new insights and a widely applicable strategy for developing versatile, non-invasive, and regulatable biomedical devices via bio-mimicking designs and additive manufacturing.
{"title":"Biocompatible piezoelectric lattice materials with ultrasound-regulated multimodal responses","authors":"Annan Chen , Jin Su , Muran Zhou , Mingpei Cang , Yinjin Li , Yunsong Shi , Zhen Zhang , Yangzhi Zhu , Bin Su , Yang Liu , Zuo-Guang Ye , Yusheng Shi , Jüergen Röedel , Huachen Cui , Haibo Zhang , Kun Zhou , Jian Lu , Chunze Yan","doi":"10.1016/j.mser.2024.100876","DOIUrl":"10.1016/j.mser.2024.100876","url":null,"abstract":"<div><div>Piezoelectric biomaterials, capable of converting electrical energy to mechanical energy and vice versa, are desirable for implantable devices that can achieve biosensing, tissue regeneration, anti-infection, and tumor treatment. However, their low piezoelectricity, simple geometry, and monotonous functionality remain challenging towards practical applications. Here, we report the design and additive manufacturing of a series of biocompatible piezoelectric lattice materials with bone-mimicking designs and ultrasound-regulated electrical responses. Barium calcium zirconate titanate (BCZT) with a piezoelectric coefficient <em>d</em><sub>33</sub> up to 580 pC/N was synthesized and used as the parent material of the lattices for additive manufacturing. The as-fabricated BCZT lattices have compressive strength comparable to native trabecular bones, making them promising candidates for implantation and <em>in vivo</em> activation. We show that the lattices allow on-demand activation of anti-tumor or osteogenic functions with programmable non-invasive ultrasound stimuli, both <em>in vitro</em> and <em>in vivo</em>. Our findings provide new insights and a widely applicable strategy for developing versatile, non-invasive, and regulatable biomedical devices via bio-mimicking designs and additive manufacturing.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"162 ","pages":"Article 100876"},"PeriodicalIF":31.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1016/j.mser.2024.100878
Ziming Tang , Qihua Gong , Min Yi
Flexomagnetism refers to the higher order magneto-mechanical coupling, associating magnetic polarization with strain gradient. Although it is weak in bulk materials, the flexomagnetic effect in small-sized samples where the strain gradient could be remarkably large presents an opportunity for the efficient manipulation of magnetic performance in nanomaterials and advanced spintronic devices. In this article we share a state-to-the-art review on the progress, challenges, and opportunities for exploring flexomagnetism. The review starts with the narrow and general definitions of flexomagnetism with a focus on the intrinsic flexomagnetism and flexomagnetic response, respectively. Then we demonstrate the different types of strain gradient for inducing the flexomagnetic effect, the theoretical models at various scales for flexomagnetism, and the simulation/experimental progress on the manipulation of magnetic properties by using flexomagnetic effect. We then discuss the current controversies and challenges regarding the disagreements between experimental and computational results as well as the limitations of existing hypotheses. Lastly, we suggest some prospects for future research on flexomagnetism.
{"title":"Flexomagnetism: Progress, challenges, and opportunities","authors":"Ziming Tang , Qihua Gong , Min Yi","doi":"10.1016/j.mser.2024.100878","DOIUrl":"10.1016/j.mser.2024.100878","url":null,"abstract":"<div><div>Flexomagnetism refers to the higher order magneto-mechanical coupling, associating magnetic polarization with strain gradient. Although it is weak in bulk materials, the flexomagnetic effect in small-sized samples where the strain gradient could be remarkably large presents an opportunity for the efficient manipulation of magnetic performance in nanomaterials and advanced spintronic devices. In this article we share a state-to-the-art review on the progress, challenges, and opportunities for exploring flexomagnetism. The review starts with the narrow and general definitions of flexomagnetism with a focus on the intrinsic flexomagnetism and flexomagnetic response, respectively. Then we demonstrate the different types of strain gradient for inducing the flexomagnetic effect, the theoretical models at various scales for flexomagnetism, and the simulation/experimental progress on the manipulation of magnetic properties by using flexomagnetic effect. We then discuss the current controversies and challenges regarding the disagreements between experimental and computational results as well as the limitations of existing hypotheses. Lastly, we suggest some prospects for future research on flexomagnetism.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"162 ","pages":"Article 100878"},"PeriodicalIF":31.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-14DOI: 10.1016/j.mser.2024.100880
Augustine Jaison , Anandhu Mohan , Young-Chul Lee
Photocatalysis, an essential technology for sustainable fuel production and environmental remediation often encounters challenges due to the complexity and vastness of potential catalyst materials. Machine learning (ML), a branch of artificial intelligence, offers transformative potential to accelerate catalyst exploration by leveraging data-driven models to predict and optimize photocatalysts. Recent developments in artificial intelligence and data science hold enormous promise for accelerating the discovery of new materials in environmental science and photocatalysis technologies. This review delves into the integration of ML in photocatalysis, focusing on its role in improving light absorption, charge separation, and photoreactor design. In addition, the content emphasizes the importance of ML in photocatalytic applications such as drug degradation, water splitting, and organic dye degradation. ML techniques can enhance these applications by predicting the behavior of photocatalysts, improving their efficiency, and accelerating the discovery of new materials. With the help of ML, advanced next-generation catalysts can be developed, and the review serves as a guide for the scientific community regarding the use of ML in photocatalysis and environmental applications.
光催化技术是可持续燃料生产和环境修复的一项重要技术，由于潜在催化剂材料的复杂性和广阔性，这项技术经常遇到挑战。机器学习（ML）是人工智能的一个分支，它通过利用数据驱动模型来预测和优化光催化剂，为加速催化剂的探索提供了变革性的潜力。人工智能和数据科学的最新发展为加速发现环境科学和光催化技术领域的新材料带来了巨大希望。本综述深入探讨了光催化中的人工智能整合，重点关注其在改善光吸收、电荷分离和光反应器设计方面的作用。此外，内容还强调了 ML 在药物降解、水分离和有机染料降解等光催化应用中的重要性。通过预测光催化剂的行为、提高其效率和加速新材料的发现，ML 技术可以增强这些应用。在 ML 的帮助下，可以开发出先进的下一代催化剂，本综述可作为科学界在光催化和环境应用中使用 ML 的指南。
{"title":"Machine learning-enhanced photocatalysis for environmental sustainability: Integration and applications","authors":"Augustine Jaison , Anandhu Mohan , Young-Chul Lee","doi":"10.1016/j.mser.2024.100880","DOIUrl":"10.1016/j.mser.2024.100880","url":null,"abstract":"<div><div>Photocatalysis, an essential technology for sustainable fuel production and environmental remediation often encounters challenges due to the complexity and vastness of potential catalyst materials. Machine learning (ML), a branch of artificial intelligence, offers transformative potential to accelerate catalyst exploration by leveraging data-driven models to predict and optimize photocatalysts. Recent developments in artificial intelligence and data science hold enormous promise for accelerating the discovery of new materials in environmental science and photocatalysis technologies. This review delves into the integration of ML in photocatalysis, focusing on its role in improving light absorption, charge separation, and photoreactor design. In addition, the content emphasizes the importance of ML in photocatalytic applications such as drug degradation, water splitting, and organic dye degradation. ML techniques can enhance these applications by predicting the behavior of photocatalysts, improving their efficiency, and accelerating the discovery of new materials. With the help of ML, advanced next-generation catalysts can be developed, and the review serves as a guide for the scientific community regarding the use of ML in photocatalysis and environmental applications.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"161 ","pages":"Article 100880"},"PeriodicalIF":31.6,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-12DOI: 10.1016/j.mser.2024.100874
Shouyi Hu , Guijun Guo , Jiaxi Zhang , Mehak Nawaz Khan , Shuanghua Xu , Fan Yang , Brian W. Schwandt , Zhigang Hu , Jianxin Zou
Effective control of toxic gaseous pollutants being emitted into the atmosphere has posed a critical and urgent challenge to deal with global climate change, protect the environment and human health as well as achieve clean and sustainable development. There remains a continuous threat to our human life from various toxic gaseous chemicals. Traditional methods for removing toxic gases usually suffer from shortcomings, such as low-capacity, energy-intensive, waste generation, and high cost. Metal-organic frameworks (MOFs), architected by various metal centers and organic ligands, represent a new type of adsorbent, which could readily offer a promising solution to capturing toxic gases. In this review, we provide detailed insights of the recent progress made on the adsorptive capture performance of MOF materials towards several critical toxic gases, such as SO₂, NO₂, NH₃, H₂S, sarin, CNCl, and CO. Considering the working condition and mixture components, the adsorption performance of various toxic gases are critically assessed and sorted. By comparing different modification strategies of a series of MOFs and corresponding performance manifestations, we make attempts to delineate future research directions to improve the adsorptive capture performance of MOFs toward toxic gases for real industrial applications.
{"title":"Advanced porous MOF materials and technologies for high-efficiency ppm-level toxic gas separation","authors":"Shouyi Hu , Guijun Guo , Jiaxi Zhang , Mehak Nawaz Khan , Shuanghua Xu , Fan Yang , Brian W. Schwandt , Zhigang Hu , Jianxin Zou","doi":"10.1016/j.mser.2024.100874","DOIUrl":"10.1016/j.mser.2024.100874","url":null,"abstract":"<div><div>Effective control of toxic gaseous pollutants being emitted into the atmosphere has posed a critical and urgent challenge to deal with global climate change, protect the environment and human health as well as achieve clean and sustainable development. There remains a continuous threat to our human life from various toxic gaseous chemicals. Traditional methods for removing toxic gases usually suffer from shortcomings, such as low-capacity, energy-intensive, waste generation, and high cost. Metal-organic frameworks (MOFs), architected by various metal centers and organic ligands, represent a new type of adsorbent, which could readily offer a promising solution to capturing toxic gases. In this review, we provide detailed insights of the recent progress made on the adsorptive capture performance of MOF materials towards several critical toxic gases, such as SO₂, NO₂, NH₃, H₂S, sarin, CNCl, and CO. Considering the working condition and mixture components, the adsorption performance of various toxic gases are critically assessed and sorted. By comparing different modification strategies of a series of MOFs and corresponding performance manifestations, we make attempts to delineate future research directions to improve the adsorptive capture performance of MOFs toward toxic gases for real industrial applications.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"161 ","pages":"Article 100874"},"PeriodicalIF":31.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1016/j.mser.2024.100872
Jin Zhou , Chang Wang , Xinhao Zhang , Lin Jiang , Renbing Wu
The emergence of two-dimensional (2D) layered materials with unique physiochemical properties and structure versatility has significantly boosted the development of gas sensing technology. This review paper explores recent advances in utilizing 2D materials, such as graphene, transition metal dichalcogenides (TMDs), black phosphorus, hexagonal boron nitride (h-BN), g-C3N4, MXenes, metal-organic frameworks (MOFs), and covalent organic frameworks (COFs), for field-effect transistor (FET) and chemiresistive gas sensors. In addition to the unique properties contributing to the sensing performance, the key aspects of synthesis methods, sensing mechanisms, and sensing performance of 2D materials are systematically elaborated. Furthermore, the review highlights recent progress in performance optimization through material functionalization, heterostructure design, and material systems hybridization. Potential solutions to the key challenges, including scalability, reproducibility, selectivity, and environmental stability, are addressed to unlock the full potential of 2D materials in gas-sensing applications. By comprehensively compiling state-of-the-art developments in 2D layered materials for gas sensing, this review provides critical insights into the evolving landscape of sensor technologies and inspires new strategies for addressing critical environmental and industrial challenges.
{"title":"Advances in two-dimensional layered materials for gas sensing","authors":"Jin Zhou , Chang Wang , Xinhao Zhang , Lin Jiang , Renbing Wu","doi":"10.1016/j.mser.2024.100872","DOIUrl":"10.1016/j.mser.2024.100872","url":null,"abstract":"<div><div>The emergence of two-dimensional (2D) layered materials with unique physiochemical properties and structure versatility has significantly boosted the development of gas sensing technology. This review paper explores recent advances in utilizing 2D materials, such as graphene, transition metal dichalcogenides (TMDs), black phosphorus, hexagonal boron nitride (h-BN), g-C<sub>3</sub>N<sub>4</sub>, MXenes, metal-organic frameworks (MOFs), and covalent organic frameworks (COFs), for field-effect transistor (FET) and chemiresistive gas sensors. In addition to the unique properties contributing to the sensing performance, the key aspects of synthesis methods, sensing mechanisms, and sensing performance of 2D materials are systematically elaborated. Furthermore, the review highlights recent progress in performance optimization through material functionalization, heterostructure design, and material systems hybridization. Potential solutions to the key challenges, including scalability, reproducibility, selectivity, and environmental stability, are addressed to unlock the full potential of 2D materials in gas-sensing applications. By comprehensively compiling state-of-the-art developments in 2D layered materials for gas sensing, this review provides critical insights into the evolving landscape of sensor technologies and inspires new strategies for addressing critical environmental and industrial challenges.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"161 ","pages":"Article 100872"},"PeriodicalIF":31.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-09DOI: 10.1016/j.mser.2024.100882
Lisa Sougrati , Antoine Duval , Luc Avérous
In the current context of environmental emergency, the need for sustainable materials with controlled end-of-life is paramount. Covalent Adaptable Networks (CANs) are a novel class of polymers offering a unique solution by combining the main advantages of thermosets and thermoplastics such as high mechanical performance and recyclability. Sustainable feedstocks, such as biobased compounds from biomass represent nowadays prime alternatives to fossil-based chemicals. Consequently, aromatic-rich renewable resources, owing to their abundances and structural variety, are feedstocks of choice in the design of materials combining performance, sustainability, and circularity. Then, the substitution of fossil-based raw materials with biobased compounds for the preparation of CANs is improving, among which aromatic structures, such as lignins, tannins, cashew nutshell liquid or furan, provide unprecedented features and properties. After a description of CANs general features and the presentation of available biobased aromatic feedstocks, an overview of recent advances in the synthesis of biobased aromatic networks is presented. An emphasis is placed on the opportunity offered by the aromatic building blocks functional groups to implement dynamic covalent chemistries. Subsequently, an understanding on the benefits of aromaticity on specific properties required for targeted applications, including sensors, adhesives, flame retardants, biomedical devices, or coatings, is proposed. All these proving the design of biobased and aromatic CANs to be a considerable step towards for a more sustainable future in the frame of a circular bioeconomy.
在当前环境紧急的背景下，最重要的是需要可控制报废期的可持续材料。共价可适应网络（CAN）是一类新型聚合物，它结合了热固性塑料和热塑性塑料的主要优点（如机械性能高和可回收利用），提供了一种独特的解决方案。可持续原料，如来自生物质的生物基化合物，是当今化石基化学品的主要替代品。因此，富含芳香族的可再生资源，由于其丰富性和结构多样性，成为设计兼具性能、可持续性和循环性的材料的首选原料。在制备 CAN 的过程中，生物基化合物对化石原料的替代作用正在不断提高，其中木质素、单宁、腰果壳液或呋喃等芳香结构提供了前所未有的特征和特性。在介绍了 CANs 的一般特征和可用的生物基芳香族原料之后，概述了合成生物基芳香族网络的最新进展。重点介绍了芳香族构件官能团提供的实施动态共价化学反应的机会。随后，介绍了芳香族对目标应用（包括传感器、粘合剂、阻燃剂、生物医学设备或涂料）所需特定性能的益处。所有这些都证明，在循环生物经济的框架下，设计生物基芳香族 CANs 是朝着更可持续的未来迈出的重要一步。
{"title":"Biobased and aromatic Covalent Adaptable Networks: When architectures meet properties, within the framework of a circular bioeconomy","authors":"Lisa Sougrati , Antoine Duval , Luc Avérous","doi":"10.1016/j.mser.2024.100882","DOIUrl":"10.1016/j.mser.2024.100882","url":null,"abstract":"<div><div>In the current context of environmental emergency, the need for sustainable materials with controlled end-of-life is paramount. Covalent Adaptable Networks (CANs) are a novel class of polymers offering a unique solution by combining the main advantages of thermosets and thermoplastics such as high mechanical performance and recyclability. Sustainable feedstocks, such as biobased compounds from biomass represent nowadays prime alternatives to fossil-based chemicals. Consequently, aromatic-rich renewable resources, owing to their abundances and structural variety, are feedstocks of choice in the design of materials combining performance, sustainability, and circularity. Then, the substitution of fossil-based raw materials with biobased compounds for the preparation of CANs is improving, among which aromatic structures, such as lignins, tannins, cashew nutshell liquid or furan, provide unprecedented features and properties. After a description of CANs general features and the presentation of available biobased aromatic feedstocks, an overview of recent advances in the synthesis of biobased aromatic networks is presented. An emphasis is placed on the opportunity offered by the aromatic building blocks functional groups to implement dynamic covalent chemistries. Subsequently, an understanding on the benefits of aromaticity on specific properties required for targeted applications, including sensors, adhesives, flame retardants, biomedical devices, or coatings, is proposed. All these proving the design of biobased and aromatic CANs to be a considerable step towards for a more sustainable future in the frame of a circular bioeconomy.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"161 ","pages":"Article 100882"},"PeriodicalIF":31.6,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-02DOI: 10.1016/j.mser.2024.100871
Jie Feng , Tonglong Zeng , Tian Tian , Ning Wang , Xue Yang , Yanan Zhou , Jiaxin Wang , Xinying Liu , Junhao Chu , Hong Wang , Qingliang Feng
With the increasing demand for infrared sensing data security, it is crucial to enhance the security of sensing data by utilizing in-sensor encryption techniques while simultaneously reducing latency, power consumption, and hardware resource utilization. However, the inherent computational limitations of sensors impede their capacity to execute sophisticated encryption algorithms. In this paper, we propose hydroxyl black phosphorus (BP) crystal for ambipolar transistors that enable infrared in-sensor encryption. An innovative approach utilizes a simple oxygen plasma treatment technique to fabricate hydroxyl BP crystal is proposed. Hydroxyl bonded on the surface of BP shifts the Fermi level towards the conduction band and generates free electrons, results ambipolar transport. The hydroxyl BP transistors exhibit symmetrical bipolar characteristics with hole mobility of 131.4 cm2 V−1 s−1 and electron mobility of 89.8 cm2 V−1 s−1. Importantly, a non-linear XOR logic gate can be implemented within a single transistor during the infrared sensing process, effectively simplifying the complexity of in-sensor encryption design. Expounding upon this, we demonstrate an infrared in-sensor encryption using an array of hydroxyl BP transistors, which can capture images and achieving high-fidelity infrared in-sensor encryption. Our findings highlight the potential of hydroxyl BP in the development of infrared in-sensor encryption techniques.
随着对红外传感数据安全性的需求日益增长，利用传感器内加密技术同时降低延迟、功耗和硬件资源利用率来增强传感数据的安全性至关重要。然而，传感器固有的计算局限性阻碍了其执行复杂加密算法的能力。在本文中，我们提出了用于伏极晶体管的羟基黑磷（BP）晶体，可实现红外传感器内加密。本文提出了一种利用简单的氧等离子处理技术制造羟基黑磷（BP）晶体的创新方法。BP 表面的羟基键使费米级向传导带移动，并产生自由电子，从而实现了双极传输。羟基 BP 晶体管具有对称的双极特性，空穴迁移率为 131.4 cm2 V-1 s-1，电子迁移率为 89.8 cm2 V-1 s-1。重要的是，在红外感应过程中，可以在单个晶体管内实现非线性 XOR 逻辑门，从而有效简化了感应器内加密设计的复杂性。在此基础上，我们利用羟基 BP 晶体管阵列演示了红外传感内加密，它可以捕捉图像并实现高保真红外传感内加密。我们的研究结果凸显了羟基 BP 在开发红外传感内加密技术方面的潜力。
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Pub Date : 2024-11-02DOI: 10.1016/j.mser.2024.100873
Hongyuan Zhao , Jiangni Yun , Zhen Li , Yu Liu , Lei Zheng , Peng Kang
The rapid increase in CPU processing speeds has significantly advanced artificial intelligence, yet it has also exacerbated the disparity in CPU utilization and data throughput rates due to the shared memory architecture of traditional von Neumann systems. To enhance computational efficiency, there is a critical need to explore advanced functional materials and integrate these into novel computing architectures. Two-dimensional (2D) ferroelectric materials, characterized by their atomic-scale ferroelectric non-volatile properties and low switching barriers, emerge as promising candidates. These materials are particularly suitable for use as non-volatile resistors and artificial synapses within in-memory computing frameworks. Furthermore, their compatibility with Si-CMOS technology enables the high-density integration of devices, potentially driving a new paradigm in integrated computation between processing units and storage architectures. This review focuses on recent developments in 2D ferroelectric materials, including their structural properties, polarization switching mechanisms, and diverse applications. Special emphasis is placed on their potential in integrated applications such as non-volatile memories, neural network computing, non-volatile logic operations, and optoelectronic memories within neuromorphic computing devices.
{"title":"Two-dimensional van der Waals ferroelectrics: A pathway to next-generation devices in memory and neuromorphic computing","authors":"Hongyuan Zhao , Jiangni Yun , Zhen Li , Yu Liu , Lei Zheng , Peng Kang","doi":"10.1016/j.mser.2024.100873","DOIUrl":"10.1016/j.mser.2024.100873","url":null,"abstract":"<div><div>The rapid increase in CPU processing speeds has significantly advanced artificial intelligence, yet it has also exacerbated the disparity in CPU utilization and data throughput rates due to the shared memory architecture of traditional von Neumann systems. To enhance computational efficiency, there is a critical need to explore advanced functional materials and integrate these into novel computing architectures. Two-dimensional (2D) ferroelectric materials, characterized by their atomic-scale ferroelectric non-volatile properties and low switching barriers, emerge as promising candidates. These materials are particularly suitable for use as non-volatile resistors and artificial synapses within in-memory computing frameworks. Furthermore, their compatibility with Si-CMOS technology enables the high-density integration of devices, potentially driving a new paradigm in integrated computation between processing units and storage architectures. This review focuses on recent developments in 2D ferroelectric materials, including their structural properties, polarization switching mechanisms, and diverse applications. Special emphasis is placed on their potential in integrated applications such as non-volatile memories, neural network computing, non-volatile logic operations, and optoelectronic memories within neuromorphic computing devices.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"161 ","pages":"Article 100873"},"PeriodicalIF":31.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-02DOI: 10.1016/j.mser.2024.100870
Congrui Liu , Mengchen Xu , Yinchuan Wang , Qiuyue Yin , Jing Hu , Hao Chen , Zhiwei Sun , Chao Liu , Xiaoyan Li , Weijia Zhou , Hong Liu
Hydroxyapatite (HA), which shares similarities in both chemical composition and structure with bone phosphate systems, and has garnered significant attention in biomedicine due to its outstanding biocompatibility, bioactivity, osteoconduction, and osteoinductivity. Its resemblance to the mineral phase found in bone tissue has led to its extensive utilization in bone grafting and implantation, dental materials, and drug delivery systems. Furthermore, HA’s characteristics can be tailored on various synthetic methods, including precipitation, sol-gel, and biomimetic approaches allowing for the production of customized materials with precisely controlled properties. Recent research has focused on enhancing the HA’s mechanical strength, biodegradability, and bioactivity through composite formulations with polymers, ceramics, and other components, aiming to develop advanced biomaterials with improved properties for myriad biomedical applications. This comprehensive review outlines the diverse fabrication methods for HA and its derivatives, highlighting their biomedical applications and recent advancements. As for the synthesis and functionalization of HA, attentions have been paid to the innovative and efficient methods, precise control of crystal structure and morphology, surface and doping modification, and bionics. Special focus is placed on combining HA with other biomaterials for tissue regeneration, implants, cancer therapy and diagnostics. Optimization of mechanical properties and biocompatibility of HA, personalized customization according to individual differences, and enhancement of antibacterial properties are essential for tissue regeneration and implants. For anti-tumor, precise and combination therapies, as well as the molecular mechanism of the interaction between HA and tumor cells, need to be further explored. Emerging uses in endodontics and anti-inflammatory treatments are also discussed. The review concludes by proposing future research directions to address a wider range of medical challenges effectively.
羟基磷灰石（HA）在化学成分和结构上都与磷酸骨系统相似，由于其出色的生物相容性、生物活性、骨传导性和骨诱导性，在生物医学领域备受关注。HA 与骨组织中的矿物质相类似，因此在骨移植和植入、牙科材料和给药系统中得到广泛应用。此外，HA 的特性可通过各种合成方法进行定制，包括沉淀法、溶胶-凝胶法和生物仿生法，从而生产出具有精确控制特性的定制材料。近期的研究重点是通过与聚合物、陶瓷和其他成分的复合配方来增强 HA 的机械强度、生物可降解性和生物活性，从而开发出性能更好的先进生物材料，用于各种生物医学应用。本综述概述了 HA 及其衍生物的各种制造方法，重点介绍了它们的生物医学应用和最新进展。关于 HA 的合成和功能化，重点关注创新和高效的方法、晶体结构和形态的精确控制、表面和掺杂改性以及仿生学。重点是将 HA 与其他生物材料相结合，用于组织再生、植入物、癌症治疗和诊断。优化 HA 的机械性能和生物相容性、根据个体差异进行个性化定制以及增强抗菌性能对于组织再生和植入物至关重要。在抗肿瘤方面，需要进一步探索精确疗法和综合疗法，以及 HA 与肿瘤细胞之间相互作用的分子机制。此外，还讨论了在牙髓病学和抗炎治疗中的新用途。综述最后提出了未来的研究方向，以有效应对更广泛的医学挑战。
{"title":"Exploring the potential of hydroxyapatite-based materials in biomedicine: A comprehensive review","authors":"Congrui Liu , Mengchen Xu , Yinchuan Wang , Qiuyue Yin , Jing Hu , Hao Chen , Zhiwei Sun , Chao Liu , Xiaoyan Li , Weijia Zhou , Hong Liu","doi":"10.1016/j.mser.2024.100870","DOIUrl":"10.1016/j.mser.2024.100870","url":null,"abstract":"<div><div>Hydroxyapatite (HA), which shares similarities in both chemical composition and structure with bone phosphate systems, and has garnered significant attention in biomedicine due to its outstanding biocompatibility, bioactivity, osteoconduction, and osteoinductivity. Its resemblance to the mineral phase found in bone tissue has led to its extensive utilization in bone grafting and implantation, dental materials, and drug delivery systems. Furthermore, HA’s characteristics can be tailored on various synthetic methods, including precipitation, sol-gel, and biomimetic approaches allowing for the production of customized materials with precisely controlled properties. Recent research has focused on enhancing the HA’s mechanical strength, biodegradability, and bioactivity through composite formulations with polymers, ceramics, and other components, aiming to develop advanced biomaterials with improved properties for myriad biomedical applications. This comprehensive review outlines the diverse fabrication methods for HA and its derivatives, highlighting their biomedical applications and recent advancements. As for the synthesis and functionalization of HA, attentions have been paid to the innovative and efficient methods, precise control of crystal structure and morphology, surface and doping modification, and bionics. Special focus is placed on combining HA with other biomaterials for tissue regeneration, implants, cancer therapy and diagnostics. Optimization of mechanical properties and biocompatibility of HA, personalized customization according to individual differences, and enhancement of antibacterial properties are essential for tissue regeneration and implants. For anti-tumor, precise and combination therapies, as well as the molecular mechanism of the interaction between HA and tumor cells, need to be further explored. Emerging uses in endodontics and anti-inflammatory treatments are also discussed. The review concludes by proposing future research directions to address a wider range of medical challenges effectively.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"161 ","pages":"Article 100870"},"PeriodicalIF":31.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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