Pub Date : 2024-12-12DOI: 10.1016/j.mser.2024.100891
Muhammad Yasir Khalid , Rehan Umer , Yahya H. Zweiri , Jang-Kyo Kim
Remarkable progress in developing graphene-based nanomaterials has provided vital breakthroughs in many fields including energy, environment, and sensor technologies. Thanks to its excellent piezoresistive characteristics to detect mechanical deformations with enhanced signal transfer capabilities, graphene has found extensive applications as strain and pressure sensors—important components for flexible devices, wearable electronic skin and human-machine interfaces. Given many existing review articles on similar subjects in the literature, this paper is dedicated to reviewing the current state-of-the-art developments and prospects of graphene-based, piezoresistive strain and pressure sensors, focusing mainly on their important performance criteria, fabrication strategies and novel applications. It covers the details of how their key performance can be improved through rational design and facile fabrication approaches specifically for flexible and wearable electronics. The discussion in this review serves as concrete proof of enhanced multifunctionality of graphene piezoresistive sensors in wearable technologies. Current challenges and opportunities for emerging applications of graphene sensors in smart devices are highlighted.
{"title":"Rise of graphene in novel piezoresistive sensing applications: A review on recent development and prospect","authors":"Muhammad Yasir Khalid , Rehan Umer , Yahya H. Zweiri , Jang-Kyo Kim","doi":"10.1016/j.mser.2024.100891","DOIUrl":"10.1016/j.mser.2024.100891","url":null,"abstract":"<div><div>Remarkable progress in developing graphene-based nanomaterials has provided vital breakthroughs in many fields including energy, environment, and sensor technologies. Thanks to its excellent piezoresistive characteristics to detect mechanical deformations with enhanced signal transfer capabilities, graphene has found extensive applications as strain and pressure sensors—important components for flexible devices, wearable electronic skin and human-machine interfaces. Given many existing review articles on similar subjects in the literature, this paper is dedicated to reviewing the current state-of-the-art developments and prospects of graphene-based, piezoresistive strain and pressure sensors, focusing mainly on their important performance criteria, fabrication strategies and novel applications. It covers the details of how their key performance can be improved through rational design and facile fabrication approaches specifically for flexible and wearable electronics. The discussion in this review serves as concrete proof of enhanced multifunctionality of graphene piezoresistive sensors in wearable technologies. Current challenges and opportunities for emerging applications of graphene sensors in smart devices are highlighted.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100891"},"PeriodicalIF":31.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160801","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 : 2024-12-12DOI: 10.1016/j.mser.2024.100913
Ozden Gunes Yildiz , Umut Aydemir
Borophene, an atomically thin boron sheet, is a promising 2D material due to its exceptional electronic, optical, and mechanical properties. Despite its potential, the inherent instability of borophene poses significant challenges for its synthesis and practical applications. This comprehensive review explores the stability issues and synthesis challenges of borophene. The structural diversity of borophene is investigated, examining how different lattice configurations and defects affect its stability. Various synthesis methods, including top-down exfoliation and bottom-up deposition, are reviewed, focusing on the role of substrates in stabilizing borophene layers. The potential of functionalization and doping strategies to enhance borophene’s stability is also discussed. Advanced in situ imaging and spectroscopy techniques that provide insights into the dynamics and mechanisms of borophene synthesis are highlighted. This review compiles recent research findings to offer a thorough understanding of the factors influencing borophene stability and the innovative synthesis approaches being developed. Addressing these challenges aims to facilitate the advancement of borophene-based technologies, paving the way for their application in electronics, photonics, energy storage, and beyond.
{"title":"Borophene: Challenges in stability and pathways to synthesis","authors":"Ozden Gunes Yildiz , Umut Aydemir","doi":"10.1016/j.mser.2024.100913","DOIUrl":"10.1016/j.mser.2024.100913","url":null,"abstract":"<div><div>Borophene, an atomically thin boron sheet, is a promising 2D material due to its exceptional electronic, optical, and mechanical properties. Despite its potential, the inherent instability of borophene poses significant challenges for its synthesis and practical applications. This comprehensive review explores the stability issues and synthesis challenges of borophene. The structural diversity of borophene is investigated, examining how different lattice configurations and defects affect its stability. Various synthesis methods, including top-down exfoliation and bottom-up deposition, are reviewed, focusing on the role of substrates in stabilizing borophene layers. The potential of functionalization and doping strategies to enhance borophene’s stability is also discussed. Advanced in situ imaging and spectroscopy techniques that provide insights into the dynamics and mechanisms of borophene synthesis are highlighted. This review compiles recent research findings to offer a thorough understanding of the factors influencing borophene stability and the innovative synthesis approaches being developed. Addressing these challenges aims to facilitate the advancement of borophene-based technologies, paving the way for their application in electronics, photonics, energy storage, and beyond.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100913"},"PeriodicalIF":31.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160803","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 : 2024-12-10DOI: 10.1016/j.mser.2024.100914
Zhen Xu , Xiaogang Hu , Chuan Guo , Zhiwei Lv , Zhiyuan Wang , Zhuoyu Li , Zhifang Shi , Zhennan Chen , Qiang Zhu
The additively manufactured Ni-based superalloy IN738LC holds significant potential for applications in aerospace high-temperature components due to its exceptional creep properties. However, a limited understanding of the high-temperature creep behaviour impedes its engineering applications. This research delves into comprehending the creep behaviour of additively manufactured Ni-based superalloy IN738LC by integrating the Materials Genome Initiative concept with high-throughput creep experiments and machine learning. The samples of this typical high cracking tendency alloy are prepared using the laser powder bed fusion process, and then the printed microcracks are entirely eliminated through the liquid-induced healing strategy. Advanced high-throughput compression creep tests are conducted under 24 creep conditions, revealing superior creep performance compared to existing Ni-based, Co-based, and Ni-Co-based superalloys. Based on the P-parameter method and deep learning techniques, predictive models exhibit excellent alignment with experimental data, thereby enabling creep behaviour prediction under any temperature and stress conditions. Microstructural examination has shed light on the complex interactions of dislocations with twin, crystal defects and precipitates, which collectively underpin the enhanced creep resistance. This research has provided valuable insights into the creep behaviour of additively manufactured IN738LC superalloy. Moreover, we have established a pathway integrating high-throughput creep testing with machine learning within the framework of the Materials Genome Initiative for materials investigation. This approach offers an efficient method for constructing models to predict creep behaviour and potentially can be applied to other materials.
{"title":"Creep behaviour investigation of additively manufactured IN738LC superalloy based on Materials Genome approach","authors":"Zhen Xu , Xiaogang Hu , Chuan Guo , Zhiwei Lv , Zhiyuan Wang , Zhuoyu Li , Zhifang Shi , Zhennan Chen , Qiang Zhu","doi":"10.1016/j.mser.2024.100914","DOIUrl":"10.1016/j.mser.2024.100914","url":null,"abstract":"<div><div>The additively manufactured Ni-based superalloy IN738LC holds significant potential for applications in aerospace high-temperature components due to its exceptional creep properties. However, a limited understanding of the high-temperature creep behaviour impedes its engineering applications. This research delves into comprehending the creep behaviour of additively manufactured Ni-based superalloy IN738LC by integrating the Materials Genome Initiative concept with high-throughput creep experiments and machine learning. The samples of this typical high cracking tendency alloy are prepared using the laser powder bed fusion process, and then the printed microcracks are entirely eliminated through the liquid-induced healing strategy. Advanced high-throughput compression creep tests are conducted under 24 creep conditions, revealing superior creep performance compared to existing Ni-based, Co-based, and Ni-Co-based superalloys. Based on the P-parameter method and deep learning techniques, predictive models exhibit excellent alignment with experimental data, thereby enabling creep behaviour prediction under any temperature and stress conditions. Microstructural examination has shed light on the complex interactions of dislocations with twin, crystal defects and precipitates, which collectively underpin the enhanced creep resistance. This research has provided valuable insights into the creep behaviour of additively manufactured IN738LC superalloy. Moreover, we have established a pathway integrating high-throughput creep testing with machine learning within the framework of the Materials Genome Initiative for materials investigation. This approach offers an efficient method for constructing models to predict creep behaviour and potentially can be applied to other materials.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100914"},"PeriodicalIF":31.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160802","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 : 2024-12-08DOI: 10.1016/j.mser.2024.100915
Mengyu Du , Ziqi Li , Lifeng Bian , Hyacinthe Randriamahazaka , Wei Chen
In recent years, the rapid advancement of Internet of Things (IoT) has promoted the development and application of smart textiles. Scalable van der Waals (vdW) assembly opens up an effective route for creating new types of smart textiles. It relies on vdW force to combine two-dimensional (2D) functional materials with textiles. The integration preserves the textiles flexibility, breathability, and comfort while endowing them with functionality and intelligence. Consequently, the vdW smart textiles can be applied in various functional scenarios, accelerating the commercialization of wearable devices. The paper offers a timely and comprehensive review of the latest research advancement in scalable vdW smart textiles over the past five years. It discusses 2D functional materials, the preparation and integration technologies of vdW smart textiles, and their applications in diverse fields, including healthcare, human-machine interaction, self-powered devices, energy-saving building, personal protection, and etc. Additionally, the paper critically examines and analyzes the current preparation techniques for large-scale production of vdW smart textiles, and provides important insights into the existing challenges and future research directions in terms of performance, scalability, stability, safety and so on. It is anticipated that in near future, vdW smart textiles integrated with the Internet will be transformed into a wider range of commercial applications to realize a fully connected smart life.
{"title":"Two-dimensional materials van der Waals assembly enabling scalable smart textiles","authors":"Mengyu Du , Ziqi Li , Lifeng Bian , Hyacinthe Randriamahazaka , Wei Chen","doi":"10.1016/j.mser.2024.100915","DOIUrl":"10.1016/j.mser.2024.100915","url":null,"abstract":"<div><div>In recent years, the rapid advancement of Internet of Things (IoT) has promoted the development and application of smart textiles. Scalable van der Waals (vdW) assembly opens up an effective route for creating new types of smart textiles. It relies on vdW force to combine two-dimensional (2D) functional materials with textiles. The integration preserves the textiles flexibility, breathability, and comfort while endowing them with functionality and intelligence. Consequently, the vdW smart textiles can be applied in various functional scenarios, accelerating the commercialization of wearable devices. The paper offers a timely and comprehensive review of the latest research advancement in scalable vdW smart textiles over the past five years. It discusses 2D functional materials, the preparation and integration technologies of vdW smart textiles, and their applications in diverse fields, including healthcare, human-machine interaction, self-powered devices, energy-saving building, personal protection, and etc. Additionally, the paper critically examines and analyzes the current preparation techniques for large-scale production of vdW smart textiles, and provides important insights into the existing challenges and future research directions in terms of performance, scalability, stability, safety and so on. It is anticipated that in near future, vdW smart textiles integrated with the Internet will be transformed into a wider range of commercial applications to realize a fully connected smart life.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100915"},"PeriodicalIF":31.6,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160800","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 : 2024-12-06DOI: 10.1016/j.mser.2024.100917
Xuan Zhang , Le Yao , Xiaoyuan Jia , Xiang Zou , Yihang Cao , Shujuan Liu , Weiwei Zhao , Qiang Zhao
With the rapid development of intelligent electronic technology, flexible omnidirectional sensors attract considerable interest due to their capability to detect complex motions in multiple directions, providing a simple and feasible detection tool in the fields of medical health monitoring, Internet of Things, and artificial intelligence by being an important electronic component for information acquisition and transmission. Researchers are actively exploring flexible omnidirectional sensing technology from multidimensional angles, encompassing materials, design, and flexible electronics, to enhance the accuracy and real-time performance of omnidirectional signal monitoring. Here, our review systematically explores the intricate relationship between sensing materials and flexible omnidirectional sensors. First, we discuss the influence of material structure, composition, and properties on the performance of flexible omnidirectional sensors. Then, our comprehensive analysis encompasses a wide range of sensing materials, including metal-based materials, carbon-based materials, and conductive composites. Following, we delve into cutting-edge manufacturing techniques such as screen printing, 3D printing, and electrospinning, and discuss how these methods enable the creation of high-resolution, designable patterns from a materials perspective. Furthermore, we summarize the main application scenarios of flexible omnidirectional sensors in physiological signal monitoring, motion assistance, environmental monitoring, and artificial intelligence. Finally, we discuss the application challenges and prospects of flexible sensing materials in the field of flexible omnidirectional sensors.
{"title":"Recent progress in materials science and engineering towards flexible omnidirectional sensor","authors":"Xuan Zhang , Le Yao , Xiaoyuan Jia , Xiang Zou , Yihang Cao , Shujuan Liu , Weiwei Zhao , Qiang Zhao","doi":"10.1016/j.mser.2024.100917","DOIUrl":"10.1016/j.mser.2024.100917","url":null,"abstract":"<div><div>With the rapid development of intelligent electronic technology, flexible omnidirectional sensors attract considerable interest due to their capability to detect complex motions in multiple directions, providing a simple and feasible detection tool in the fields of medical health monitoring, Internet of Things, and artificial intelligence by being an important electronic component for information acquisition and transmission. Researchers are actively exploring flexible omnidirectional sensing technology from multidimensional angles, encompassing materials, design, and flexible electronics, to enhance the accuracy and real-time performance of omnidirectional signal monitoring. Here, our review systematically explores the intricate relationship between sensing materials and flexible omnidirectional sensors. First, we discuss the influence of material structure, composition, and properties on the performance of flexible omnidirectional sensors. Then, our comprehensive analysis encompasses a wide range of sensing materials, including metal-based materials, carbon-based materials, and conductive composites. Following, we delve into cutting-edge manufacturing techniques such as screen printing, 3D printing, and electrospinning, and discuss how these methods enable the creation of high-resolution, designable patterns from a materials perspective. Furthermore, we summarize the main application scenarios of flexible omnidirectional sensors in physiological signal monitoring, motion assistance, environmental monitoring, and artificial intelligence. Finally, we discuss the application challenges and prospects of flexible sensing materials in the field of flexible omnidirectional sensors.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100917"},"PeriodicalIF":31.6,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160799","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 : 2024-12-05DOI: 10.1016/j.mser.2024.100890
Mei Chen , Ran An , Frédéric Demoly , Hang Jerry Qi , Kun Zhou
Four-dimensional (4D) printing, which integrates additive manufacturing with smart materials, facilitates the fabrication of adaptive structures featuring dynamic properties and customizable geometries. However, the incorporation of multiple smart materials for multifunctional devices remains limited. Herein, this work reports a novel hybrid 4D printing technique that uniquely combines multi jet fusion (MJF) and direct ink writing (DIW) to develop multifunctional liquid crystal elastomer–shape memory polymer (LCE-SMP) composites. The unprecedented utilization of MJF in 4D printing allows the rapid fabrication of SMPs with a tunable electric conductivity distribution, while DIW subsequently prints LCEs with programmable mesogen alignment onto the MJF-printed SMPs. The resulting hybrid-4D-printed LCE-SMP composites not only exhibited diverse temporary configurations that remained stable without continuous stimuli but also possessed reversible photo-actuation with high output power, enabling diverse bio-inspired dynamic structure evolution and remote on-demand object manipulation. Simultaneously, the LCE-SMP composites demonstrated robust self-sensing capabilities during actuation tasks, providing real-time feedback on device performance and operational status. This work introduces a novel concept for designing and fabricating multifunctional materials to advance the field of intelligent devices.
{"title":"Hybrid 4D printing of flexible multifunctional composites by multi jet fusion and direct ink writing","authors":"Mei Chen , Ran An , Frédéric Demoly , Hang Jerry Qi , Kun Zhou","doi":"10.1016/j.mser.2024.100890","DOIUrl":"10.1016/j.mser.2024.100890","url":null,"abstract":"<div><div>Four-dimensional (4D) printing, which integrates additive manufacturing with smart materials, facilitates the fabrication of adaptive structures featuring dynamic properties and customizable geometries. However, the incorporation of multiple smart materials for multifunctional devices remains limited. Herein, this work reports a novel hybrid 4D printing technique that uniquely combines multi jet fusion (MJF) and direct ink writing (DIW) to develop multifunctional liquid crystal elastomer–shape memory polymer (LCE-SMP) composites. The unprecedented utilization of MJF in 4D printing allows the rapid fabrication of SMPs with a tunable electric conductivity distribution, while DIW subsequently prints LCEs with programmable mesogen alignment onto the MJF-printed SMPs. The resulting hybrid-4D-printed LCE-SMP composites not only exhibited diverse temporary configurations that remained stable without continuous stimuli but also possessed reversible photo-actuation with high output power, enabling diverse bio-inspired dynamic structure evolution and remote on-demand object manipulation. Simultaneously, the LCE-SMP composites demonstrated robust self-sensing capabilities during actuation tasks, providing real-time feedback on device performance and operational status. This work introduces a novel concept for designing and fabricating multifunctional materials to advance the field of intelligent devices.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100890"},"PeriodicalIF":31.6,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160745","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 : 2024-12-02DOI: 10.1016/j.mser.2024.100893
Taoyu Zou , Youjin Reo , Seongmin Heo , Haksoon Jung , Soonhyo Kim , Ao Liu , Yong-Young Noh
Monolithic three-dimensional (M3D) integration offers a promising solution to the limitations of silicon (Si) integrated circuits as they reach their physical limits, including problems with power use and heat dissipation. By enabling the vertical stacking of multiple device layers, M3D integration significantly increases device density, enhances performance, and reduces power consumption and communication delays between components. Two-dimensional (2D) materials, recognized for their exceptional electrical properties and minimal thickness, offer a promising approach to advancing the scaling of complementary metal-oxide-semiconductor (CMOS) transistors. 2D material-based p-type transistors play a vital role in creating CMOS circuits with low static power dissipation and high noise immunity, which are critical for the efficiency and reliability of electronic devices. Although significant progress has been made in developing n-type 2D transistors and integrating them into M3D architectures, advancements in M3D integration with p-type 2D transistors are still in the early stages. Here, the recent status and ongoing challenges in M3D integration are reviewed, focusing on 2D materials-based p-type transistors. We provide an overview of key 2D p-type materials and their synthesis techniques, followed by a detailed discussion of integration strategies, including planar integration, 3D stacked complementary transistors, and M3D integration. Finally, we discuss the challenges, potential strategies, and opportunities in achieving M3D integration with high-performance 2D p-type transistors. The review aims to provide a foundational understanding for driving future innovations in high-performance, energy-efficient, and densely integrated M3D CMOS electronic devices.
{"title":"Monolithic three-dimensional integration with 2D material-based p-type transistors","authors":"Taoyu Zou , Youjin Reo , Seongmin Heo , Haksoon Jung , Soonhyo Kim , Ao Liu , Yong-Young Noh","doi":"10.1016/j.mser.2024.100893","DOIUrl":"10.1016/j.mser.2024.100893","url":null,"abstract":"<div><div>Monolithic three-dimensional (M3D) integration offers a promising solution to the limitations of silicon (Si) integrated circuits as they reach their physical limits, including problems with power use and heat dissipation. By enabling the vertical stacking of multiple device layers, M3D integration significantly increases device density, enhances performance, and reduces power consumption and communication delays between components. Two-dimensional (2D) materials, recognized for their exceptional electrical properties and minimal thickness, offer a promising approach to advancing the scaling of complementary metal-oxide-semiconductor (CMOS) transistors. 2D material-based p-type transistors play a vital role in creating CMOS circuits with low static power dissipation and high noise immunity, which are critical for the efficiency and reliability of electronic devices. Although significant progress has been made in developing n-type 2D transistors and integrating them into M3D architectures, advancements in M3D integration with p-type 2D transistors are still in the early stages. Here, the recent status and ongoing challenges in M3D integration are reviewed, focusing on 2D materials-based p-type transistors. We provide an overview of key 2D p-type materials and their synthesis techniques, followed by a detailed discussion of integration strategies, including planar integration, 3D stacked complementary transistors, and M3D integration. Finally, we discuss the challenges, potential strategies, and opportunities in achieving M3D integration with high-performance 2D p-type transistors. The review aims to provide a foundational understanding for driving future innovations in high-performance, energy-efficient, and densely integrated M3D CMOS electronic devices.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100893"},"PeriodicalIF":31.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160743","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 : 2024-12-02DOI: 10.1016/j.mser.2024.100894
Sin-Yi Pang , Weng Fu Io , Feng Guo , Yuqian Zhao , Jianhua Hao
MXenes, a fascinating family of two-dimensional transition metal carbides and nitrides, have attracted significant attention across various fields due to their unique properties, such as hydrophilicity and metallic conductivity. Despite the rising interest in their applications for nanoelectronics, there remains a gap in the understanding of how surface engineering and work function affect ion interactions and electronic properties. These factors are critical for integrating MXenes into information technology devices. In this review, we discuss and summarize recent advancements in MXene fabrication and examine both theoretical and experimental findings related to their properties in nanoelectronic applications. We also explore some device concepts that utilize these features. MXenes show great potential for enhancing nanoelectronic devices, while the challenges in their synthesis and functionalization to be addressed. This review summarizes current information and offers perceptions into the role of two-dimensional MXenes in information technology related nanotechnologies.
{"title":"Two-dimensional MXene-based devices for information technology","authors":"Sin-Yi Pang , Weng Fu Io , Feng Guo , Yuqian Zhao , Jianhua Hao","doi":"10.1016/j.mser.2024.100894","DOIUrl":"10.1016/j.mser.2024.100894","url":null,"abstract":"<div><div>MXenes, a fascinating family of two-dimensional transition metal carbides and nitrides, have attracted significant attention across various fields due to their unique properties, such as hydrophilicity and metallic conductivity. Despite the rising interest in their applications for nanoelectronics, there remains a gap in the understanding of how surface engineering and work function affect ion interactions and electronic properties. These factors are critical for integrating MXenes into information technology devices. In this review, we discuss and summarize recent advancements in MXene fabrication and examine both theoretical and experimental findings related to their properties in nanoelectronic applications. We also explore some device concepts that utilize these features. MXenes show great potential for enhancing nanoelectronic devices, while the challenges in their synthesis and functionalization to be addressed. This review summarizes current information and offers perceptions into the role of two-dimensional MXenes in information technology related nanotechnologies.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"163 ","pages":"Article 100894"},"PeriodicalIF":31.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160744","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 : 2024-12-01DOI: 10.1016/j.mser.2024.100832
An Niza El Aisnada , Yuhki Yui , Ji-Eun Lee , Norio Kitadai , Ryuhei Nakamura , Masaya Ibe , Masahiro Miyauchi , Akira Yamaguchi
In the quest for sustainable electrochemical carbon dioxide reduction reaction (CO2RR) strategies, developing efficient and selective electrocatalysts remains a paramount challenge. Metal sulfides offer diverse types of adsorption sites, leading to a promising avenue to overcome the drawbacks of conventional catalysts, including metals and alloys. Since there are limited references and discussions to study the trend of metal sulfide as a CO2RR electrocatalyst, here we developed a less burdensome empirical workflow. The point of the methodology lies in the straightforward learning from experimental data, and the utilization of high-throughput experimental tools is not compulsory. Using the workflow, we aim to clarify what properties we should be concerned about to predict and further obtain optimal electrocatalysts in this early stage of exploration. The methodology integrates a careful analysis of experimental data with material informatics, leveraging density functional theory (DFT) calculations and machine learning (ML). For the case study, we specifically target the ternary metal sulfide selective for syngas carbon monoxide (CO) production. By employing high-dimensional regression ML models trained on a dataset of 18 samples, our analysis underlines the importance of considering crystal structure beyond atomic composition as the catalyst design strategy. We identify that ternary metal sulfides with hexagonal lattice systems and containing cations among Zn/In/Cd are optimal for CO-selective electrocatalysts. Our study offers insights into exploring uncharted materials for a sustainable CO2RR with a versatile and burdenless workflow adaptable to various application fields.
{"title":"An empirical approach-based analysis for the exploration of ternary metal sulfide as an active and selective CO2 reduction electrocatalyst","authors":"An Niza El Aisnada , Yuhki Yui , Ji-Eun Lee , Norio Kitadai , Ryuhei Nakamura , Masaya Ibe , Masahiro Miyauchi , Akira Yamaguchi","doi":"10.1016/j.mser.2024.100832","DOIUrl":"10.1016/j.mser.2024.100832","url":null,"abstract":"<div><div>In the quest for sustainable electrochemical carbon dioxide reduction reaction (CO<sub>2</sub>RR) strategies, developing efficient and selective electrocatalysts remains a paramount challenge. Metal sulfides offer diverse types of adsorption sites, leading to a promising avenue to overcome the drawbacks of conventional catalysts, including metals and alloys. Since there are limited references and discussions to study the trend of metal sulfide as a CO<sub>2</sub>RR electrocatalyst, here we developed a less burdensome empirical workflow. The point of the methodology lies in the straightforward learning from experimental data, and the utilization of high-throughput experimental tools is not compulsory. Using the workflow, we aim to clarify what properties we should be concerned about to predict and further obtain optimal electrocatalysts in this early stage of exploration. The methodology integrates a careful analysis of experimental data with material informatics, leveraging density functional theory (DFT) calculations and machine learning (ML). For the case study, we specifically target the ternary metal sulfide selective for syngas carbon monoxide (CO) production. By employing high-dimensional regression ML models trained on a dataset of 18 samples, our analysis underlines the importance of considering crystal structure beyond atomic composition as the catalyst design strategy. We identify that ternary metal sulfides with hexagonal lattice systems and containing cations among Zn/In/Cd are optimal for CO-selective electrocatalysts. Our study offers insights into exploring uncharted materials for a sustainable CO<sub>2</sub>RR with a versatile and burdenless workflow adaptable to various application fields.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"161 ","pages":"Article 100832"},"PeriodicalIF":31.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166805","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 : 2024-11-30DOI: 10.1016/j.mser.2024.100889
Qiang Liu , Mengyu Du , Hyacinthe Randriamahazaka , Wei Chen
Graphdiyne (GDY), as a novel two-dimensional carbon material, showcases immense potential in the field of smart materials due to its intrinsic properties and microstructure. Unlike conventional smart materials, GDY exhibits stimulus-responsive behaviors without the need for external chemical modifications, dopants, or composite materials. Its unique sp/sp2 hybridized carbon framework, porous structure, and abundance of highly reactive acetylenic linkages, enable this material to directly interact with environmental stimuli and exhibit superior performance across a variety of applications, including muscle-like actuators, wearable sensors, optoelectronic adaptive regulation, low-grade energy harvesting, and cutting-edge biomedical applications. As a new type of smart material, the application potential of GDY in many frontier fields still needs to be fully explored and exploited. The review provides a timely and comprehensive overview of the state-of-the-art in GDY-based smart materials and applications, emphasizing its unique molecular-scale activity and key challenges in synthesis, scalability, stability, and sensitivity. We believe that this article will provide very valuable insights into technological innovation and collaboration in the field of new material and artificial intelligence.
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