Nature EnergyPub Date : 2024-12-11DOI: 10.1038/s41560-024-01676-7
Matthew Burton, Sudarshan Narayanan, Ben Jagger, Lorenz F. Olbrich, Shobhan Dhir, Masafumi Shibata, Michael J. Lain, Robert Astbury, Nicholas Butcher, Mark Copley, Toshikazu Kotaka, Yuichi Aihara, Mauro Pasta
{"title":"Techno-economic assessment of thin lithium metal anodes for solid-state batteries","authors":"Matthew Burton, Sudarshan Narayanan, Ben Jagger, Lorenz F. Olbrich, Shobhan Dhir, Masafumi Shibata, Michael J. Lain, Robert Astbury, Nicholas Butcher, Mark Copley, Toshikazu Kotaka, Yuichi Aihara, Mauro Pasta","doi":"10.1038/s41560-024-01676-7","DOIUrl":"10.1038/s41560-024-01676-7","url":null,"abstract":"Solid-state lithium metal batteries show substantial promise for overcoming theoretical limitations of Li-ion batteries to enable gravimetric and volumetric energy densities upwards of 500 Wh kg−1 and 1,000 Wh l−1, respectively. While zero-lithium-excess configurations are particularly attractive, inhomogeneous lithium plating on charge results in active lithium loss and a subsequent coulombic efficiency penalty. Excess lithium is therefore currently needed; however, this negatively impacts energy density and thus limiting its thickness is essential. Here we discuss the viability of various technologies for realizing thin lithium films that can be scaled up to the volumes required for gigafactory production. We identify thermal evaporation as a potentially cost-effective route to address these challenges and provide a techno-economic assessment of the projected costs associated with the fabrication of thin, dense lithium metal foils using this process. Finally, we estimate solid-state pack costs made using thermally evaporated lithium foils. Preparing suitable lithium anodes is crucial for high-performance solid-state batteries. This study evaluates methods for producing thin lithium films, emphasizing thermal evaporation as a cost-effective approach while estimating associated pack costs.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 1","pages":"135-147"},"PeriodicalIF":49.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41560-024-01676-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142804724","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}
Nature EnergyPub Date : 2024-12-09DOI: 10.1038/s41560-024-01675-8
Alexis Geslin, Le Xu, Devi Ganapathi, Kevin Moy, William C. Chueh, Simona Onori
{"title":"Dynamic cycling enhances battery lifetime","authors":"Alexis Geslin, Le Xu, Devi Ganapathi, Kevin Moy, William C. Chueh, Simona Onori","doi":"10.1038/s41560-024-01675-8","DOIUrl":"10.1038/s41560-024-01675-8","url":null,"abstract":"Laboratory ageing campaigns elucidate the complex degradation behaviour of most technologies. In lithium-ion batteries, such studies aim to capture realistic ageing mechanisms to optimize cell chemistries and designs as well as to engineer reliable battery management systems. In this study, we systematically compared dynamic discharge profiles representative of electric vehicle driving to the well-accepted constant current profiles. Surprisingly, we found that dynamic discharge enhances lifetime substantially compared with constant current discharge. Specifically, for the same average current and voltage window, varying the dynamic discharge profile led to an increase of up to 38% in equivalent full cycles at end of life. Explainable machine learning revealed the importance of both low-frequency current pulses and time-induced ageing under these realistic discharge conditions. This work quantifies the importance of evaluating new battery chemistries and designs with realistic load profiles, highlighting the opportunities to revisit our understanding of ageing mechanisms at the chemistry, material and cell levels. Lithium-ion batteries degrade in complex ways. This study shows that cycling under realistic electric vehicle driving profiles enhances battery lifetime by up to 38% compared with constant current cycling, underscoring the need for realistic loads to capture ageing mechanisms.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 2","pages":"172-180"},"PeriodicalIF":49.7,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41560-024-01675-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793268","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}
Nature EnergyPub Date : 2024-12-06DOI: 10.1038/s41560-024-01680-x
Jinxi Chen, Xi Wang, Tao Wang, Jia Li, Hou Yi Chia, Haoming Liang, Shibo Xi, Shunchang Liu, Xiao Guo, Renjun Guo, Zhenrong Jia, Xinxing Yin, Qilin Zhou, Yuduan Wang, Zhuojie Shi, Haoyu Zhou, Donny Lai, Mingsheng Zhang, Zhenxiang Xing, Wan Ru Leow, Wentao Yan, Yi Hou
{"title":"Determining the bonding–degradation trade-off at heterointerfaces for increased efficiency and stability of perovskite solar cells","authors":"Jinxi Chen, Xi Wang, Tao Wang, Jia Li, Hou Yi Chia, Haoming Liang, Shibo Xi, Shunchang Liu, Xiao Guo, Renjun Guo, Zhenrong Jia, Xinxing Yin, Qilin Zhou, Yuduan Wang, Zhuojie Shi, Haoyu Zhou, Donny Lai, Mingsheng Zhang, Zhenxiang Xing, Wan Ru Leow, Wentao Yan, Yi Hou","doi":"10.1038/s41560-024-01680-x","DOIUrl":"10.1038/s41560-024-01680-x","url":null,"abstract":"The heterointerfaces between perovskite and charge-transporting layers pose a major limitation to the durability of perovskite solar cells (PSCs), largely due to complex and conflicting chemical and mechanical interactions. Here we introduce an effective debonding technique to thoroughly analyse heterointerface behaviour during both crystal growth and ageing phases of PSCs. Our analysis reveals a strong correlation between interface bonding (fracture energy ranging from ~2.49 J m−2 to ~0.38 J m−2), proton transfer interactions and degradation, highlighting a critical trade-off between mechanical and chemical stability in PSCs. To address these stability challenges, we mixed Me-4PACz and DCZ-4P molecules, which introduced additional phosphonic acid anchoring groups to enhance bonding at both the metal oxide and the perovskite interfaces. With a high efficiency of 25.6%, the devices retained 90% of their initial performance after 1,000 h of testing under ISOS-L-1I and ISOS-D-2I standard protocols. Under thermal cycling conditions, our PSCs sustained 95% of their efficiency over 500 cycles, exceeding the IEC 61215 and ISOS-T-3I standards. The mechanical stability of interfaces in perovskite solar cells is not well understood. Chen, Wang, Wang et al. investigate the strength of the bonds between layers and the corresponding effects on the chemical and mechanical stability of perovskite solar cells.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 2","pages":"181-190"},"PeriodicalIF":49.7,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142783020","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}
Nature EnergyPub Date : 2024-12-05DOI: 10.1038/s41560-024-01670-z
He Li, Hongbo Zheng, Tianle Yue, Zongliang Xie, ShaoPeng Yu, Ji Zhou, Topprasad Kapri, Yunfei Wang, Zhiqiang Cao, Haoyu Zhao, Aidar Kemelbay, Jinlong He, Ge Zhang, Priscilla F. Pieters, Eric A. Dailing, John R. Cappiello, Miquel Salmeron, Xiaodan Gu, Ting Xu, Peng Wu, Ying Li, K. Barry Sharpless, Yi Liu
{"title":"Machine learning-accelerated discovery of heat-resistant polysulfates for electrostatic energy storage","authors":"He Li, Hongbo Zheng, Tianle Yue, Zongliang Xie, ShaoPeng Yu, Ji Zhou, Topprasad Kapri, Yunfei Wang, Zhiqiang Cao, Haoyu Zhao, Aidar Kemelbay, Jinlong He, Ge Zhang, Priscilla F. Pieters, Eric A. Dailing, John R. Cappiello, Miquel Salmeron, Xiaodan Gu, Ting Xu, Peng Wu, Ying Li, K. Barry Sharpless, Yi Liu","doi":"10.1038/s41560-024-01670-z","DOIUrl":"10.1038/s41560-024-01670-z","url":null,"abstract":"The development of heat-resistant dielectric polymers that withstand intense electric fields at high temperatures is critical for electrification. Balancing thermal stability and electrical insulation, however, is exceptionally challenging as these properties are often inversely correlated. A traditional intuition-driven polymer design approach results in a slow discovery loop that limits breakthroughs. Here we present a machine learning-driven strategy to rapidly identify high-performance, heat-resistant polymers. A trustworthy feed-forward neural network is trained to predict key proxy parameters and down select polymer candidates from a library of nearly 50,000 polysulfates. The highly efficient and modular sulfur fluoride exchange click chemistry enables successful synthesis and validation of selected candidates. A polysulfate featuring a 9,9-di(naphthalene)-fluorene repeat unit exhibits excellent thermal resilience and achieves ultrahigh discharged energy density with over 90% efficiency at 200 °C. Its exceptional cycling stability underscores its promise for applications in demanding electrified environments. Developing heat-resistant dielectric polymers for electrification is challenging due to the inverse relationship between thermal stability and electrical insulation. Using a machine learning-driven approach, the researchers identify and validate high-performance polymers that demonstrate promising thermal resilience and energy density for high-temperature applications.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 1","pages":"90-100"},"PeriodicalIF":49.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777207","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}
Nature EnergyPub Date : 2024-12-04DOI: 10.1038/s41560-024-01671-y
{"title":"Extraction of ultrapure hydrogen from low-concentration sources","authors":"","doi":"10.1038/s41560-024-01671-y","DOIUrl":"10.1038/s41560-024-01671-y","url":null,"abstract":"A tandem electrochemical hydrogen pump system achieves high efficiency in purifying hydrogen from dilute sources. With nearly 100% Faradaic efficiency at high current densities, this technology can produce ultrapure hydrogen (>99.999%) from a 10% feed, potentially reducing capital costs by 95% and energy consumption by 65% compared with conventional methods.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"9 12","pages":"1461-1462"},"PeriodicalIF":49.7,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142763680","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}
{"title":"Equally high efficiencies of organic solar cells processed from different solvents reveal key factors for morphology control","authors":"Rui Zhang, Haiyang Chen, Tonghui Wang, Libor Kobera, Lilin He, Yuting Huang, Junyuan Ding, Ben Zhang, Azzaya Khasbaatar, Sadisha Nanayakkara, Jialei Zheng, Weijie Chen, Ying Diao, Sabina Abbrent, Jiri Brus, Aidan H. Coffey, Chenhui Zhu, Heng Liu, Xinhui Lu, Qing Jiang, Veaceslav Coropceanu, Jean-Luc Brédas, Yongfang Li, Yaowen Li, Feng Gao","doi":"10.1038/s41560-024-01678-5","DOIUrl":"10.1038/s41560-024-01678-5","url":null,"abstract":"The power conversion efficiency of organic solar cells (OSCs) is exceeding 20%, an advance in which morphology optimization has played a significant role. It is generally accepted that the processing solvent (or solvent mixture) can help optimize morphology, impacting the OSC efficiency. Here we develop OSCs that show strong tolerance to a range of processing solvents, with all devices delivering high power conversion efficiencies around 19%. By investigating the solution states, the film formation dynamics and the characteristics of the processed films both experimentally and computationally, we identify the key factors that control morphology, that is, the interactions between the side chains of the acceptor materials and the solvent as well as the interactions between the donor and acceptor materials. Our work provides new understanding on the long-standing question of morphology control and effective guides to design OSC materials towards practical applications, where green solvents are required for large-scale processing. The solvent choice for processing organic solar cells impacts layer morphology and ultimately device performance. By controlling the molecular interactions, Zhang et al. realize a solvent-independent morphology that leads to high device efficiency.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 1","pages":"124-134"},"PeriodicalIF":49.7,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41560-024-01678-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142763691","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}
Nature EnergyPub Date : 2024-12-03DOI: 10.1038/s41560-024-01669-6
Manjeet Chhetri, Daniel Philip Leonard, Sandip Maurya, Prashant Sharan, Youngkwang Kim, Alisa Kozhushner, Lior Elbaz, Nasser Ghorbani, Mehdi Rafiee, Cortney Kreller, Yu Seung Kim
{"title":"Electrochemical pumps based on ion-pair membranes for separation of hydrogen from low-concentration mixtures","authors":"Manjeet Chhetri, Daniel Philip Leonard, Sandip Maurya, Prashant Sharan, Youngkwang Kim, Alisa Kozhushner, Lior Elbaz, Nasser Ghorbani, Mehdi Rafiee, Cortney Kreller, Yu Seung Kim","doi":"10.1038/s41560-024-01669-6","DOIUrl":"10.1038/s41560-024-01669-6","url":null,"abstract":"Producing pure, compressed hydrogen from gas mixtures is a crucial, but expensive, aspect of hydrogen distribution. Electrochemical hydrogen pumps offer a promising energy-efficient solution, but struggle with gas mixtures containing less than 20% hydrogen. Here we show that electrochemical hydrogen pumps equipped with phosphate-coordinated quaternary ammonium ion-pair polymer membranes can overcome this challenge. By using a protonated phosphonic acid ionomer and selective cathode humidification, mass transport of the device is enhanced, boosting hydrogen production from low-concentration hydrogen gas mixtures. A tandem ion-pair electrochemical hydrogen pump system achieves high-purity hydrogen (>99.999%) from a 10% hydrogen–methane mixture with nearly 100% faradaic efficiency and hydrogen recovery. A techno-economic analysis reveals that electrochemical hydrogen pumps can reduce hydrogen delivery costs by up to 95% and energy consumption by up to 65% by allowing the use of existing natural gas pipelines, compared to traditional pressure swing adsorption and mechanical compression techniques. Electrochemical pumps can effectively purify and compress hydrogen for subsequent use in energy and industrial applications but struggle with low hydrogen concentrations. Here the authors present an electrochemical pump based on an ion-pair membrane that can produce high-purity hydrogen from a 10% blend in methane.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"9 12","pages":"1517-1528"},"PeriodicalIF":49.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760035","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}
Nature EnergyPub Date : 2024-11-28DOI: 10.1038/s41560-024-01679-4
Yang Lu, Qingbin Cao, Weili Zhang, Tianyou Zeng, Yu Ou, Shuaishuai Yan, Hao Liu, Xuan Song, Haiyu Zhou, Wenhui Hou, Pan Zhou, Nan Hu, Qingqing Feng, Yong Li, Kai Liu
{"title":"Breaking the molecular symmetricity of sulfonimide anions for high-performance lithium metal batteries under extreme cycling conditions","authors":"Yang Lu, Qingbin Cao, Weili Zhang, Tianyou Zeng, Yu Ou, Shuaishuai Yan, Hao Liu, Xuan Song, Haiyu Zhou, Wenhui Hou, Pan Zhou, Nan Hu, Qingqing Feng, Yong Li, Kai Liu","doi":"10.1038/s41560-024-01679-4","DOIUrl":"10.1038/s41560-024-01679-4","url":null,"abstract":"Lithium metal batteries operating under extreme conditions are limited by the sluggish desolvation process and poor stability of the electrode–electrolyte interphase. However, rational interphase design is hindered by the ill-defined understanding of interphasial chemistry at the molecular level. Here we design and synthesize a series of sulfoximide salts, lithium bis(trifluoromethanesulfinyl)imide (LiBSTFSI) and lithium (trifluoromethanesulfinyl)(trifluoromethanesulfonyl)imide (LiSTFSI), that possess distinctive oxidizability. Their molecular structure and interphasial chemistry were correlated. An anionic electro-polymerization was induced by the asymmetric LiSTFSI to establish a bilayer catholde–electrolyte interphase (CEI) with LiF dominated inner covered by negative-charged inorganic polymers. LiSTFSI-derived CEI enables superior mechanical stability and accelerated Li+ desolvation that contribute to the stable cycling and superior energy and power densities under ultra-high rate and ultra-low temperature conditions. Industrial pouch cells of 474 Wh kg−1 achieved extreme power density of 5,080 W kg−1 at 30 °C and exceptional low-temperature energy and power densities at −20 °C (382 Wh kg−1, 3,590 W kg−1) and −40 °C (321 Wh kg−1, 1,517 W kg−1). The unclear understanding of the interphase has limited advancements in battery performance. To address this, the authors designed sulfoximide salts with distinctive interphasial chemistry, enabling high-performance lithium metal batteries even under extreme conditions.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 2","pages":"191-204"},"PeriodicalIF":49.7,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735608","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}
Nature EnergyPub Date : 2024-11-27DOI: 10.1038/s41560-024-01668-7
Gergo Ignacz, Aron K. Beke, Viktor Toth, Gyorgy Szekely
{"title":"A hybrid modelling approach to compare chemical separation technologies in terms of energy consumption and carbon dioxide emissions","authors":"Gergo Ignacz, Aron K. Beke, Viktor Toth, Gyorgy Szekely","doi":"10.1038/s41560-024-01668-7","DOIUrl":"10.1038/s41560-024-01668-7","url":null,"abstract":"Accurate energy system modelling of chemical separations is a critical component of technology selection to minimize operating costs, energy consumption and emissions. Here we report a hybrid modelling approach based on data-driven and mechanistic models to holistically compare chemical separation performance. Our model can be used to select the most suitable technology for a given chemical separation, such as membrane separation, evaporation, extraction or hybrid configurations, by training a machine learning model to predict solute rejection using an open-access membrane dataset. We estimated an average 40% reduction in energy consumption and carbon dioxide emissions for industrially relevant separations using our methodology. We predicted and analysed 7.1 million solute rejections across several industrial sectors. Pharmaceutical purification could realize carbon dioxide emissions reductions of up to 90% by selecting the most efficient technology. We mapped the reduction in carbon dioxide emissions and the reduction in operating costs globally, establishing parameter thresholds to facilitate corporate and governmental decision-making. Reducing the energy demands of chemical separations could help to decarbonize industry. Based on data-driven and first-principles modelling, here the authors report an approach to holistically compare and select optimal technologies for chemical separation.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 3","pages":"308-317"},"PeriodicalIF":49.7,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41560-024-01668-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142718300","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}
Nature EnergyPub Date : 2024-11-25DOI: 10.1038/s41560-024-01674-9
Xia Wang, Qun Yang, Sukriti Singh, Horst Borrmann, Vicky Hasse, Changjiang Yi, Yongkang Li, Marcus Schmidt, Xiaodong Li, Gerhard H. Fecher, Dong Zhou, Binghai Yan, Claudia Felser
{"title":"Topological semimetals with intrinsic chirality as spin-controlling electrocatalysts for the oxygen evolution reaction","authors":"Xia Wang, Qun Yang, Sukriti Singh, Horst Borrmann, Vicky Hasse, Changjiang Yi, Yongkang Li, Marcus Schmidt, Xiaodong Li, Gerhard H. Fecher, Dong Zhou, Binghai Yan, Claudia Felser","doi":"10.1038/s41560-024-01674-9","DOIUrl":"10.1038/s41560-024-01674-9","url":null,"abstract":"Electrocatalytic water splitting is a promising approach for clean hydrogen production, but the process is hindered by the sluggish kinetics of the anodic oxygen evolution reaction (OER) owing to the spin-dependent electron transfer process. Efforts to control spin through chirality and magnetization have shown potential in enhancing OER performance. Here we harnessed the potential of topological chiral semimetals (RhSi, RhSn and RhBiS) and their spin-polarized Fermi surfaces to promote the spin-dependent electron transfer in the OER, addressing the traditional volcano-plot limitations. We show that OER activities follow the trend RhSi < RhSn < RhBiS, corresponding to the increasing extent of spin–orbit coupling (SOC). The chiral single crystals outperform achiral counterparts (RhTe2, RhTe and RuO2) in alkaline electrolyte, with RhBiS exhibiting a specific activity two orders of magnitude higher than RuO2. Our work reveals the pivotal roles of chirality and SOC in spin-dependent catalysis, facilitating the design of ultra-efficient chiral catalysts. Oxygen evolution is a key reaction in electrolysers and involves a spin-dependent, multi-electron transfer process. Here the authors use topological semimetals with intrinsic chirality as a means to control spin in oxygen evolution catalysts, and explore the role of spin–orbit coupling in determining activity.","PeriodicalId":19073,"journal":{"name":"Nature Energy","volume":"10 1","pages":"101-109"},"PeriodicalIF":49.7,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41560-024-01674-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696683","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}
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
