Pub Date : 2024-07-23DOI: 10.1088/2752-5724/ad667c
Yuanchao Hu, Liwei Jiang
While materials science research in the rechargeable battery field is usually application-oriented, the general supercooled liquid theory from glass science can drive high-performance low-temperature aqueous batteries, facilitating cross-disciplinary collaborations and simultaneous research break- throughs.
{"title":"Activating Supercooled Electrolytes","authors":"Yuanchao Hu, Liwei Jiang","doi":"10.1088/2752-5724/ad667c","DOIUrl":"https://doi.org/10.1088/2752-5724/ad667c","url":null,"abstract":"\u0000 While materials science research in the rechargeable battery field is usually application-oriented, the general supercooled liquid theory from glass science can drive high-performance low-temperature aqueous batteries, facilitating cross-disciplinary collaborations and simultaneous research break- throughs.","PeriodicalId":519934,"journal":{"name":"Materials futures","volume":"54 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-23DOI: 10.1088/2752-5724/ad667b
Chao Yang, Xingyu Hou, Li Zhang
Flexible electronics have attracted extensive attention across a wide range of fields due to their potential for preventive medicine and early disease detection. Microfiber-based textiles, encountered in everyday life, have emerged as promising platforms with integrated sensing capabilities. Microfluidic technology has been recognized as a promising avenue for the development of flexible conductive microfibers and has made significant achievements. In this review, we provide a comprehensive overview of the state-of-the-art advancements in microfiber-based flexible electronics fabricated using microfluidic platforms. Firstly, the fundamental strategies of the microfluidic fabrication of conductive microfibers with different structures and morphologies are introduced. Subsequently, attention is then directed towards the diverse applications of these microfibers in bioelectronics. Finally, we offer a forward-looking perspective on the future challenges about microfluidic-derived microfibers in flexible bioelectronics.
{"title":"Microfluidics-derived Microfibers in Flexible Bioelectronics","authors":"Chao Yang, Xingyu Hou, Li Zhang","doi":"10.1088/2752-5724/ad667b","DOIUrl":"https://doi.org/10.1088/2752-5724/ad667b","url":null,"abstract":"\u0000 Flexible electronics have attracted extensive attention across a wide range of fields due to their potential for preventive medicine and early disease detection. Microfiber-based textiles, encountered in everyday life, have emerged as promising platforms with integrated sensing capabilities. Microfluidic technology has been recognized as a promising avenue for the development of flexible conductive microfibers and has made significant achievements. In this review, we provide a comprehensive overview of the state-of-the-art advancements in microfiber-based flexible electronics fabricated using microfluidic platforms. Firstly, the fundamental strategies of the microfluidic fabrication of conductive microfibers with different structures and morphologies are introduced. Subsequently, attention is then directed towards the diverse applications of these microfibers in bioelectronics. Finally, we offer a forward-looking perspective on the future challenges about microfluidic-derived microfibers in flexible bioelectronics.","PeriodicalId":519934,"journal":{"name":"Materials futures","volume":"6 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Esophageal cancer (EC) is characterized by high morbidity and mortality, and chemotherapy has become an indispensable means for comprehensive treatment. However, due to the limitation of the effective in vitro disease model, the development of chemotherapeutic agents still faces great challenges. In this paper, we present a novel tumor spheroid on a chip platform based on inverse opal hydrogel scaffolds to screen chemotherapeutic agents for EC treatment. With the microfluidic emulsion approach, the inverse opal hydrogel scaffolds were generated with tunable and organized pores, which could provide spatial confinement for cell growth. Thus, the suspended KYSE-70 cells could successfully form uniform cell spheroids on the inverse opal hydrogel scaffolds. It was demonstrated that the tumor cell spheroids could recapitulate 3D growth patterns in vivo and exhibited higher sensitivity to the chemotherapy agents compared with monolayer cells. Besides, by employing the scaffolds into a microfluidics to construct esophageal tumor on a chip, the device could realize high-throughput tumor cell spheroids generation and drug screening, indicating its promising role in chemotherapy drug development.
{"title":"Tailoring esophageal tumor spheroids on a chip with inverse opal scaffolds for drug screening","authors":"Ruolin Shi, X. Wu, Yuanji Zhao, Shegan Gao, Gaofeng Liang","doi":"10.1088/2752-5724/ad5f47","DOIUrl":"https://doi.org/10.1088/2752-5724/ad5f47","url":null,"abstract":"\u0000 Esophageal cancer (EC) is characterized by high morbidity and mortality, and chemotherapy has become an indispensable means for comprehensive treatment. However, due to the limitation of the effective in vitro disease model, the development of chemotherapeutic agents still faces great challenges. In this paper, we present a novel tumor spheroid on a chip platform based on inverse opal hydrogel scaffolds to screen chemotherapeutic agents for EC treatment. With the microfluidic emulsion approach, the inverse opal hydrogel scaffolds were generated with tunable and organized pores, which could provide spatial confinement for cell growth. Thus, the suspended KYSE-70 cells could successfully form uniform cell spheroids on the inverse opal hydrogel scaffolds. It was demonstrated that the tumor cell spheroids could recapitulate 3D growth patterns in vivo and exhibited higher sensitivity to the chemotherapy agents compared with monolayer cells. Besides, by employing the scaffolds into a microfluidics to construct esophageal tumor on a chip, the device could realize high-throughput tumor cell spheroids generation and drug screening, indicating its promising role in chemotherapy drug development.","PeriodicalId":519934,"journal":{"name":"Materials futures","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1088/2752-5724/ad4a94
Daniel Wines, Kamal Choudhary
The observation of superconductivity in hydride-based materials under ultrahigh pressures (for example, H3S and LaH10) has fueled the interest in a more data-driven approach to discovering new high-pressure hydride superconductors. In this work, we performed density functional theory (DFT) calculations to predict the critical temperature (Tc) of over 900 hydride materials under a pressure range of (0 to 500) GPa, where we found 122 dynamically stable structures with a Tc above MgB2 (39 K). To accelerate screening, we trained a graph neural network (GNN) model to predict Tc and demonstrated that a universal machine learned force-field can be used to relax hydride structures under arbitrary pressures, with significantly reduced cost. By combining DFT and GNNs, we can establish a more complete map of hydrides under pressure.
{"title":"Data-driven Design of High Pressure Hydride Superconductors using DFT and Deep Learning.","authors":"Daniel Wines, Kamal Choudhary","doi":"10.1088/2752-5724/ad4a94","DOIUrl":"10.1088/2752-5724/ad4a94","url":null,"abstract":"<p><p>The observation of superconductivity in hydride-based materials under ultrahigh pressures (for example, H<sub>3</sub>S and LaH<sub>10</sub>) has fueled the interest in a more data-driven approach to discovering new high-pressure hydride superconductors. In this work, we performed density functional theory (DFT) calculations to predict the critical temperature (<i>T</i><sub><i>c</i></sub>) of over 900 hydride materials under a pressure range of (0 to 500) GPa, where we found 122 dynamically stable structures with a <i>T</i><sub><i>c</i></sub> above MgB<sub>2</sub> (39 K). To accelerate screening, we trained a graph neural network (GNN) model to predict <i>T</i><sub><i>c</i></sub> and demonstrated that a universal machine learned force-field can be used to relax hydride structures under arbitrary pressures, with significantly reduced cost. By combining DFT and GNNs, we can establish a more complete map of hydrides under pressure.</p>","PeriodicalId":519934,"journal":{"name":"Materials futures","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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