{"title":"A Review of Hydrogel Fiber: Design, Synthesis, Applications, and Futures","authors":"Guoyin Chen, Zhaowei Yang, Hongyu Pan, Jian Zhang, Ying Guo, Ziying Zhou, Jiahao Zheng, Zeqi Zhang, Ran Cao, Kai Hou, Meifang Zhu","doi":"10.1021/acs.chemrev.5c00159","DOIUrl":"https://doi.org/10.1021/acs.chemrev.5c00159","url":null,"abstract":"Hydrogel fibers (HFs) are abundant in living organisms, including the three major tissues of the human body, that is, muscle, nerve, and connective tissue, which have the ability to transport materials and deliver energy, playing a crucial role in carrying out essential life functions through a collaborative bottom-up construction of function and structure. Therefore, the development of functional HFs that closely mimic biofunction ability is highly desirable. HFs are characterized by their high water content and have a fibrous shape with a cross-linking network in condensed structures. They combine the functional characteristics of hydrogel materials (soft, wet, environmentally, responsive, biocompatible) with the structural advantages of fiber materials (high aspect ratio, anisotropy, flexibility). Therefore, a systematic understanding of the development and current challenges of HFs is of great significance for their functionalization and structural construction, potentially leading to the realization of bionic functions similar to those found in the human body. This paper discussing the development of HFs, focusing on material composition, structural design, functional construction, and applications, while also addressing the limitations and challenges associated with HFs in detail. The goal of this review is to provide guidelines for the construction of functional or bionic HFs and their practical applications.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"48 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144177133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chemical ReviewsPub Date : 2025-05-30DOI: 10.1021/acs.chemrev.4c00863
Yanxin Shang, Yongxin Huang, Li Li, Feng Wu, Renjie Chen
{"title":"Electrochemical Energy Storage toward Extreme Conditions: Driving Human Exploration beyond Current Boundaries","authors":"Yanxin Shang, Yongxin Huang, Li Li, Feng Wu, Renjie Chen","doi":"10.1021/acs.chemrev.4c00863","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00863","url":null,"abstract":"Major projects reliant on electric energy support, such as manned spaceflight, ocean exploration, and polar development, will encounter extreme environmental challenges. The most representative scenarios, including deep space, deep sea, deep earth, and polar regions, will be systematically discussed in this review. The interaction of multiple environmental factors under complex working conditions leads to multifaceted failures that significantly compromise the performance of electrochemical energy storage systems (EESSs). Specifically, this review examines EESSs operating under extreme conditions, including extreme temperatures, extreme pressures, electromagnetic radiations and so on. It addresses key challenges and summarizes solutions based on a mechanistic understanding of new electrochemical reactions and strategies to enhance electrochemical performance. Additionally, it provides a comprehensive overview of experimental and simulated technology, from the microscopic physicochemical mechanisms level to whole battery chemistry, and explores potential applications for EESSs in the future. Finally, this review offers prospective analyses of the demand for EESSs in future space exploration, involving missions to the Lunar surface, Mars and asteroids. This review provides both a theoretical and technical foundation for developing high-performance battery materials in extreme environments. It contributes to advancing diverse application scenarios for high-power EESSs.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"71 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144177135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chemical ReviewsPub Date : 2025-05-28DOI: 10.1021/acs.chemrev.5c00340
A. Alec Talin, Bilge Yildiz
{"title":"Introduction: Neuromorphic Materials","authors":"A. Alec Talin, Bilge Yildiz","doi":"10.1021/acs.chemrev.5c00340","DOIUrl":"https://doi.org/10.1021/acs.chemrev.5c00340","url":null,"abstract":"Published as part of <i>Chemical Reviews</i> special issue “Neuromorphic Materials”. The explosive growth in data collection and the need to process it efficiently, as well as the desire to automate increasingly complex tasks in transportation, medical care, manufacturing, security and many other fields have motivated a growing interest in neuromorphic computing. (1) Unlike the binary, transistor-based ON/OFF logic gates and separate logic and memory functionalities employed in digital computing, neuromorphic computing is inspired by animal brains that use interconnected synapses and neurons to perform processing, storage and transmission of information at the same location, while only consuming ∼20 W or less of power. Motivated by the brain’s efficiency, adaptability, self-learning and resiliency qualities, neuromorphic computing can be broadly defined as an approach to processing and storing information using hardware and algorithms inspired by models of biological neural systems. Present research in neuromorphic computing encompasses approaches that vary significantly in their degree of neuro-inspiration, from systems that only incorporate features such as asynchronous, event-driven operation or use crossbar arrays of nonvolatile memory (NVM) elements to accelerate deep neural networks (DNNs), to designs that embrace the extreme parallelism, sparsity, reconfigurability, adaptability, complexity and stochasticity observed in nervous systems. (2) The term ‘neuromorphic’ computing is often credited to Carver Mead, who in the 1980s investigated Si-based analog electronics to replicate functions of the animal retina. (3) Earlier important advances in this field include the work of Frank Rosenblatt, (4) who proposed the concept of the perceptron, Bernard Widrow, (5) who used this concept to build one of the first analog neural networks, the Adaline, and many other researchers (see ref (6) for an historical perspective on neuromorphic computing). With the recent increase in the use of artificial intelligence and large language models, and rising concerns over the associated energy costs, interest in neuromorphic hardware has expanded rapidly. According to some estimates, driven largely by the drastic growth in the training use of artificial intelligence (AI) models using the current computing architectures, the energy cost of computing is projected to reach the energy supply worldwide by 2045. (7) While this is not a realistic outcome, it means that, if more efficient computing technologies are not developed─soon─the world will soon become one where demand for energy and market constraints limit the continued increase of societal access to AI and cloud services from data centers. Data centers used for training and use of these models consume hundreds of terawatt hours of electricity, already past 4% of the US electricity demand. (8) Numerous established microelectronics manufacturers and startups have announced efforts to commercialize energy-efficie","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"2 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chemical ReviewsPub Date : 2025-05-28DOI: 10.1021/acs.chemrev.4c00835
Ani Baghdasaryan, Hongjie Dai
{"title":"Molecular Gold Nanoclusters for Advanced NIR-II Bioimaging and Therapy","authors":"Ani Baghdasaryan, Hongjie Dai","doi":"10.1021/acs.chemrev.4c00835","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00835","url":null,"abstract":"Small thiolate-protected gold molecular clusters have gained significant interest in research due to their unique size-dependent properties. Their molecular to nanoscale sizes lead to distinctive quantum confinement effects, resulting in a discrete electronic energy band gap structure and molecule-like properties, including HOMO–LUMO electronic transitions, enhanced photoluminescence, and intrinsic magnetism and chirality. Near-infrared II (NIR-II, 1000–3000 nm) emissive gold clusters have emerged as a fascinating class of nanomaterials that are well-suited for biomedical applications. The unique combination of stability, biocompatibility, and tunable emission properties position them as valuable tools for high-resolution and deep-tissue imaging, with potential real-world applications ranging from disease diagnostics and prognosis to therapeutics. In this review, we focus on the NIR-II photoluminescence properties of gold molecular clusters for preclinical in vivo NIR-II imaging of vasculature, brain, kidney, liver, and gastrointestinal organs, and molecular targeted tumor imaging and theranostic treatment. The imaging capabilities combined with fast excretion and a high safety profile make molecular gold clusters highly promising for clinical translation.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"25 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicodemo Di Pasquale*, Jesús Algaba, Pablo Montero de Hijes, Ignacio Sanchez-Burgos, Andres R. Tejedor, Stephen R. Yeandel, Felipe J. Blas, Ruslan L. Davidchack, Jorge R. Espinosa, Colin L. Freeman, John H. Harding, Brian B. Laird, Eduardo Sanz, Carlos Vega and Lorenzo Rovigatti,
{"title":"","authors":"Nicodemo Di Pasquale*, Jesús Algaba, Pablo Montero de Hijes, Ignacio Sanchez-Burgos, Andres R. Tejedor, Stephen R. Yeandel, Felipe J. Blas, Ruslan L. Davidchack, Jorge R. Espinosa, Colin L. Freeman, John H. Harding, Brian B. Laird, Eduardo Sanz, Carlos Vega and Lorenzo Rovigatti, ","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"125 10","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":51.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.chemrev.4c00833","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144454540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zebulon G. Schichtl, O. Quinn Carvalho, Jeiwan Tan, Simran S. Saund, Debjit Ghoshal, Logan M. Wilder, Melissa K. Gish, Adam C. Nielander, Michaela Burke Stevens and Ann L. Greenaway*,
{"title":"","authors":"Zebulon G. Schichtl, O. Quinn Carvalho, Jeiwan Tan, Simran S. Saund, Debjit Ghoshal, Logan M. Wilder, Melissa K. Gish, Adam C. Nielander, Michaela Burke Stevens and Ann L. Greenaway*, ","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"125 10","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":51.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.chemrev.4c00258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144454541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}