Chemical Reviews最新文献

Biomolecular Actuators for Soft Robots 软体机器人的生物分子驱动器

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-07 DOI: 10.1021/acs.chemrev.4c00811

Michelle C. Quan, Danielle J. Mai

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Chemistry of Materials Underpinning Photoelectrochemical Solar Fuel Production 支持光电化学太阳能燃料生产的材料化学

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-06 DOI: 10.1021/acs.chemrev.4c00258

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, Ann L. Greenaway

{"title":"Chemistry of Materials Underpinning Photoelectrochemical Solar Fuel Production","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, Ann L. Greenaway","doi":"10.1021/acs.chemrev.4c00258","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00258","url":null,"abstract":"Since its inception, photoelectrochemistry has sought to power the generation of fuels, particularly hydrogen, using energy from sunlight. Efficient and durable photoelectrodes, however, remain elusive. Here we review the current state of the art, focusing our discussion on advances in photoelectrodes made in the past decade. We open by briefly discussing fundamental photoelectrochemical concepts and implications for photoelectrode function. We next review a broad range of semiconductor photoelectrodes broken down by material class (oxides, nitrides, chalcogenides, and mature photovoltaic semiconductors), identifying intrinsic properties and discussing their influence on performance. We then identify innovative in situ and operando techniques to directly probe the photoelectrode|electrolyte interface, enabling direct assessment of structure–property relationships for catalytic surfaces in active reaction environments. We close by considering more complex photoelectrochemical fuel-forming reactions (carbon dioxide and nitrogen reduction, as well as alternative oxidation reactions), where product selectivity imposes additional criteria on electrochemical driving force and photoelectrode architecture. By contextualizing recent literature within a fundamental framework, we seek to provide direction for continued progress toward achieving efficient and stable fuel-forming photoelectrodes.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"25 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143910784","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}

引用次数: 0

Ligands for Protein Fibrils of Amyloid-β, α-Synuclein, and Tau 淀粉样蛋白-β， α-突触核蛋白和Tau蛋白原纤维的配体

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-06 DOI: 10.1021/acs.chemrev.4c00838

Timothy S. Chisholm, Christopher A. Hunter

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Benchmarking Quantum Gates and Circuits 量子门和电路的基准测试

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-05 DOI: 10.1021/acs.chemrev.4c00870

Vinay Tripathi, Daria Kowsari, Kumar Saurav, Haimeng Zhang, Eli M. Levenson-Falk, Daniel A. Lidar

{"title":"Benchmarking Quantum Gates and Circuits","authors":"Vinay Tripathi, Daria Kowsari, Kumar Saurav, Haimeng Zhang, Eli M. Levenson-Falk, Daniel A. Lidar","doi":"10.1021/acs.chemrev.4c00870","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00870","url":null,"abstract":"Accurate noise characterization in quantum gates and circuits is vital for the development of reliable quantum simulations for chemically relevant systems and fault-tolerant quantum computing. This paper reviews a variety of key benchmarking techniques, including Randomized Benchmarking, Quantum Process Tomography, Gate Set Tomography, Process Fidelity Estimation, Direct Fidelity Estimation, and Cross-Entropy Benchmarking. We evaluate each method’s complexities, the resources they require, and their effectiveness in addressing coherent, incoherent, and state preparation and measurement (SPAM) errors. Furthermore, we introduce <i>Deterministic Benchmarking</i> (DB), a novel protocol that minimizes the number of experimental runs, exhibits resilience to SPAM errors, and effectively characterizes both coherent and incoherent errors. The implementation of DB is experimentally validated using a superconducting transmon qubit, and the results are substantiated with a simple analytical model and master equation simulations. With the addition of DB to the toolkit of available benchmarking methods, this article serves as a practical guide for choosing and applying benchmarking protocols to advance quantum computing technologies.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"227 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143910785","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}

引用次数: 0

Semiconductor Quantum Dots in the Cluster Regime 簇态中的半导体量子点

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-05 DOI: 10.1021/acs.chemrev.4c00967

Zifei Chen, Anjay Manian, Asaph Widmer-Cooper, Salvy P. Russo, Paul Mulvaney

引用次数: 0

Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing 电阻开关随机存取存储器（RRAM）：存储器和计算的应用和需求

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-02 DOI: 10.1021/acs.chemrev.4c00845

Daniele Ielmini, Giacomo Pedretti

{"title":"Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing","authors":"Daniele Ielmini, Giacomo Pedretti","doi":"10.1021/acs.chemrev.4c00845","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00845","url":null,"abstract":"In the information age, novel hardware solutions are urgently needed to efficiently store and process increasing amounts of data. In this scenario, memory devices must evolve significantly to provide the necessary bit capacity, performance, and energy efficiency needed in computation. In particular, novel computing paradigms have emerged to minimize data movement, which is known to contribute the largest amount of energy consumption in conventional computing systems based on the von Neumann architecture. In-memory computing (IMC) provides a means to compute within data with minimum data movement and excellent energy efficiency and performance. To meet these goals, resistive-switching random-access memory (RRAM) appears to be an ideal candidate thanks to its excellent scalability and nonvolatile storage. However, circuit implementations of modern artificial intelligence (AI) models require highly specialized device properties that need careful RRAM device engineering. This work addresses the RRAM concept from materials, device, circuit, and application viewpoints, focusing on the physical device properties and the requirements for storage and computing applications. Memory applications, such as embedded nonvolatile memory (eNVM) in novel microcontroller units (MCUs) and storage class memory (SCM), are highlighted. Applications in IMC, such as hardware accelerators of neural networks, data query, and algebra functions, are illustrated by referring to the reported demonstrators with RRAM technology, evidencing the remaining challenges for the development of a low-power, sustainable AI.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"39 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898121","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}

引用次数: 0

Walking through Hilbert Space with Quantum Computers 用量子计算机穿越希尔伯特空间

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-02 DOI: 10.1021/acs.chemrev.4c00508

Tong Jiang, Jinghong Zhang, Moritz K. A. Baumgarten, Meng-Fu Chen, Hieu Q. Dinh, Aadithya Ganeshram, Nishad Maskara, Anton Ni, Joonho Lee

{"title":"Walking through Hilbert Space with Quantum Computers","authors":"Tong Jiang, Jinghong Zhang, Moritz K. A. Baumgarten, Meng-Fu Chen, Hieu Q. Dinh, Aadithya Ganeshram, Nishad Maskara, Anton Ni, Joonho Lee","doi":"10.1021/acs.chemrev.4c00508","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00508","url":null,"abstract":"Computations of chemical systems’ equilibrium properties and nonequilibrium dynamics have been suspected of being a “killer app” for quantum computers. This review highlights the recent advancements of quantum algorithms tackling complex sampling tasks in the key areas of computational chemistry: ground state, thermal state properties, and quantum dynamics calculations. We review a broad range of quantum algorithms, from hybrid quantum–classical to fully quantum, focusing on the traditional Monte Carlo family, including Markov chain Monte Carlo, variational Monte Carlo, projector Monte Carlo, path integral Monte Carlo, <i>etc.</i> We also cover other relevant techniques involving complex sampling tasks, such as quantum-selected configuration interaction, minimally entangled typical thermal states, entanglement forging, and Monte Carlo-flavored Lindbladian dynamics. We provide a comprehensive overview of these algorithms’ classical and quantum counterparts, detailing their theoretical frameworks and discussing the potentials and challenges in achieving quantum computational advantages.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"279 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901799","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}

引用次数: 0

FIB-SEM: Emerging Multimodal/Multiscale Characterization Techniques for Advanced Battery Development FIB-SEM：用于先进电池开发的新兴多模态/多尺度表征技术

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-05-01 DOI: 10.1021/acs.chemrev.4c00831

Zhao Liu, Shuang Bai, Sven Burke, James N. Burrow, Remco Geurts, Chen-Jui Huang, Chengge Jiao, Hee-Beom Lee, Ying Shirley Meng, Libor Novák, Bartłomiej Winiarski, Jing Wang, Ken Wu, Minghao Zhang

{"title":"FIB-SEM: Emerging Multimodal/Multiscale Characterization Techniques for Advanced Battery Development","authors":"Zhao Liu, Shuang Bai, Sven Burke, James N. Burrow, Remco Geurts, Chen-Jui Huang, Chengge Jiao, Hee-Beom Lee, Ying Shirley Meng, Libor Novák, Bartłomiej Winiarski, Jing Wang, Ken Wu, Minghao Zhang","doi":"10.1021/acs.chemrev.4c00831","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00831","url":null,"abstract":"The advancement of battery technology necessitates a profound understanding of the physical, chemical, and electrochemical processes at various scales. Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM) has emerged as an indispensable tool for battery research, enabling high-resolution imaging and multiscale analysis from macroscopic structures to nanoscale features at multiple dimensions. This review starts with introducing the fundamentals of focused beam and matter interaction under the framework of FIB-SEM instrumentation and then explores the application of FIB-SEM characterization on rechargeable batteries (lithium-ion batteries and beyond), with a focus on cathode and anode materials, as well as solid-state batteries. Analytical techniques such as Energy Dispersive X-ray Spectroscopy, Electron Backscatter Diffraction, and Secondary Ion Mass Spectrometry are discussed in the context of their ability to provide detailed morphological, crystallographic, and chemical insights. The review also highlights several emerging applications in FIB-SEM including workflow to maintain sample integrity, in-operando characterization, and correlative microscopy. The integration of Artificial Intelligence for enhanced data analysis and predictive modeling, which significantly improves the accuracy and efficiency of material characterization, is also discussed. Through comprehensive multimodal and multiscale analysis, FIB-SEM is poised to significantly advance the understanding and development of high-performance battery materials, paving the way for future innovations in battery technology.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"14 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898122","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}

引用次数: 0

Renaissance in Alkyne Semihydrogenation: Mechanism, Selectivity, Functional Group Tolerance, and Applications in Organic Synthesis 炔半氢化的复兴：机理、选择性、官能团耐受性及其在有机合成中的应用

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-04-25 DOI: 10.1021/acs.chemrev.4c00001

Rafał Kusy, Karol Grela

{"title":"Renaissance in Alkyne Semihydrogenation: Mechanism, Selectivity, Functional Group Tolerance, and Applications in Organic Synthesis","authors":"Rafał Kusy, Karol Grela","doi":"10.1021/acs.chemrev.4c00001","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00001","url":null,"abstract":"Alkenes constitute a significant class of chemical compounds with applications in the bulk, pharmaceutical, or perfume industry. Among the known methods of olefin production, semihydrogenation of the C–C triple bond seems to be the most straightforward one. Nonetheless, the success of this reaction requires full control over diastereoselectivity, eradication of a parasitic process of over-reduction or migration of the C–C double bond formed, and achieving satisfactory functional-group compatibility. The review demonstrates developments in the field of alkyne semihydrogenation over the period 2010–2022, with selected papers published in 2023 and 2024, emphasizing solutions to the above-mentioned limitations. We discuss mechanistic aspects of this transformation, including those related to unconventional systems. The review includes examples of applications of alkyne semihydrogenation in organic synthesis, confirming the considerable utility of this process. Finally, strategies to enhance catalyst selectivity are summarized. For the reader’s convenience, we provided a graphical guidebook to catalytic systems, illustrating the efficiency of the particular method.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"91 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876083","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}

引用次数: 0

From Mining to Manufacturing: Scientific Challenges and Opportunities behind Battery Production 从采矿到制造：电池生产背后的科学挑战和机遇

IF 62.1 1区化学

Chemical Reviews Pub Date : 2025-04-22 DOI: 10.1021/acs.chemrev.4c00980

Jie Xiao, Xia Cao, Bernard Gridley, William Golden, Yuchen Ji, Stacey Johnson, Dongping Lu, Feng Lin, Jun Liu, Yijin Liu, Zhao Liu, Hemanth Neelgund Ramesh, Feifei Shi, Jeremy Schrooten, Mary J. Sims, Shijing Sun, Yuyan Shao, Alon Vaisman, Jihui Yang, M. Stanley Whittingham

{"title":"From Mining to Manufacturing: Scientific Challenges and Opportunities behind Battery Production","authors":"Jie Xiao, Xia Cao, Bernard Gridley, William Golden, Yuchen Ji, Stacey Johnson, Dongping Lu, Feng Lin, Jun Liu, Yijin Liu, Zhao Liu, Hemanth Neelgund Ramesh, Feifei Shi, Jeremy Schrooten, Mary J. Sims, Shijing Sun, Yuyan Shao, Alon Vaisman, Jihui Yang, M. Stanley Whittingham","doi":"10.1021/acs.chemrev.4c00980","DOIUrl":"https://doi.org/10.1021/acs.chemrev.4c00980","url":null,"abstract":"This Review explores the status and progress made over the past decade in the areas of raw material mining, battery materials and components scale-up, processing, and manufacturing. While substantial advancements have been achieved in understanding battery materials, the transition to large-scale manufacturing introduces scientific challenges that must be addressed from multiple perspectives. Rather than focusing on new material discoveries or incremental performance improvements, this Review focuses on the critical issues that arise in battery manufacturing and highlights the importance of cost-oriented fundamental research to bridge the knowledge gap between fundamental research and industrial production. Challenges and opportunities in integrating machine learning (ML) and artificial intelligence (AI) to digitalize the manufacturing process and eventually realize fully autonomous production are discussed. The review also emphasizes the pressing need for workforce development to meet the growing demands of the battery industry. Potential strategies are suggested for accelerating the manufacturing of current and future battery technologies, ensuring that the workforce is equipped with the necessary skills to support research, development, and large-scale production.","PeriodicalId":32,"journal":{"name":"Chemical Reviews","volume":"63 1","pages":""},"PeriodicalIF":62.1,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143857524","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}

引用次数: 0