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A Minimal Information Set To Enable Verifiable Theoretical Battery Research
ACS Energy Letters ( IF 22.0 ) Pub Date : 2021-10-11 , DOI: 10.1021/acsenergylett.1c01710
Aashutosh Mistry 1 , Ankit Verma 2 , Shashank Sripad 3 , Rebecca Ciez 4 , Valentin Sulzer 3 , Ferran Brosa Planella 5 , Robert Timms 6 , Yumin Zhang 7 , Rachel Kurchin 3 , Philipp Dechent 8 , Weihan Li 8 , Samuel Greenbank 9 , Zeeshan Ahmad 10 , Dilip Krishnamurthy 3 , Alexis M. Fenton 11 , Kevin Tenny 11 , Prehit Patel 12 , Daniel Juarez Robles 13 , Paul Gasper 2 , Andrew Colclasure 2 , Artem Baskin 14 , Corinne D. Scown 15 , Venkat R. Subramanian 16 , Edwin Khoo 17 , Srikanth Allu 18 , David Howey 9 , Steven DeCaluwe 19 , Scott A. Roberts 20 , Venkatasubramanian Viswanathan 3
Affiliation  

I verify that this form is completed accurately in agreement with all co-authors, to the best of my knowledge. Y ≡ the question is answered completely. Discuss any N or NA response in “Remarks”. Figure 1. Any theoretical analysis can be expressed as a function that offers predictions specific to the physicochemical context, i.e., ①–④. Any reliable prediction is independent of the numerical details of the solution method. a stakeholder using the generated insights to make decisions, e.g., an experimentalist choosing a material to synthesize, a program manager identifying a new research direction, a venture capitalist making investment decisions, etc., or a theoretician using the published theory, in part or in whole. The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsenergylett.1c01710.
  • Filled-out example checklists covering different modeling types across scales (Figure 1 in Howey et al. (4)) and a summary table (PDF)
Filled-out example checklists covering different modeling types across scales (Figure 1 in Howey et al. (4)) and a summary table (PDF) Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html. The authors thank the Battery Modeling Webinar Series (BMWS) Slack (62) community which provided immense feedback and a way to solicit inputs from a large and diverse portion of the modeling community. The authors acknowledge inputs from Alexandra K. Stephan on the checklist. A.M. gratefully acknowledges support from Argonne National Laboratory. Argonne National Laboratory is operated for the U.S. Department of Energy Office of Science by UChicago Argonne, LLC, under contract number DE-AC02-06CH11357. A.V., P.G., and A.C. are supported by the National Renewable Energy Laboratory which is operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy under Contract No. DE-AC36-08GO28308 A.B. acknowledges funding from the NASA Aeronautics Mission Research Directorate’s (ARMD) Transformational Tools and Technologies (TTT) Project. C.D.S. is supported by the U.S. Department of Energy, Office of Science through contract DE-AC02-05CH11231 between Lawrence Berkeley National Laboratory and the U.S. Department of Energy. E.K. acknowledges funding by Agency for Science, Technology and Research (A*STAR) under the Career Development Fund (C210112037). S.A. is supported by Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DE-AC05-00OR22725. S.A.R. is supported by the Laboratory Directed Research and Development program at Sandia National Laboratories, a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. This article references 63 other publications.


中文翻译:

启用可验证的理论电池研究的最少信息集

据我所知,我确认此表格已准确填写并与所有共同作者达成一致。Y ≡ 这个问题得到了完整的回答。在“备注”中讨论任何 N 或 NA 响应。图 1. 任何理论分析都可以表示为提供特定于物理化学背景的预测的函数,即①–④。任何可靠的预测都与求解方法的数值细节无关。利益相关者使用所产生的见解来做出决策,例如,选择要合成的材料的实验者,确定新研究方向的项目经理,做出投资决策的风险资本家等,或部分或部分使用已发表理论的理论家总的来说。支持信息可在 https://pubs.acs.org/doi/10.1021/acsenergylett.1c01710 免费获得。
  • 涵盖不同尺度的不同建模类型的填写示例清单(Howey 等人中的图 1。(4))和汇总表 (PDF)
涵盖不同尺度的不同建模类型的填写示例清单(Howey 等人中的图 1 (4))和汇总表 (PDF) 大多数电子支持信息文件无需订阅 ACS 网络版本即可获得。此类文件可以按文章下载用于研究用途(如果相关文章有公共使用许可,则该许可可能允许其他用途)。可以通过 RightsLink 许可系统的请求从 ACS 获得许可用于其他用途:http://pubs.acs.org/page/copyright/permissions.html。作者感谢电池建模网络研讨会系列 (BMWS) Slack (62) 社区,该社区提供了大量反馈和一种从建模社区的大量不同部分征求意见的方法。作者承认 Alexandra K. Stephan 在清单上的投入。是 非常感谢阿贡国家实验室的支持。阿贡国家实验室由 UChicago Argonne, LLC 为美国能源部科学办公室运营,合同编号为 DE-AC02-06CH11357。AV、PG 和 AC 得到国家可再生能源实验室的支持,该实验室由可持续能源联盟运营,美国能源部根据合同号 DE-AC36-08GO28308 AB 承认美国宇航局航空任务研究理事会的资助(ARMD) 转型工具和技术 (TTT) 项目。CDS 由美国能源部科学办公室通过劳伦斯伯克利国家实验室与美国能源部之间的合同 DE-AC02-05CH11231 提供支持。EK 承认科学局的资助,职业发展基金 (C210112037) 下的技术与研究 (A*STAR)。SA 由橡树岭国家实验室支持,由 UT-Battelle, LLC 管理,根据合同 DE-AC05-00OR22725 为美国能源部提供支持。SAR 得到桑迪亚国家实验室的实验室指导研究和开发计划的支持,桑迪亚国家实验室是一个多任务实验室,由霍尼韦尔国际公司的全资子公司桑迪亚国家技术和工程解决方案有限责任公司为美国部门管理和运营能源国家核安全管理局根据合同 DE-NA0003525。本文描述了客观的技术结果和分析。论文中可能表达的任何主观观点或意见不一定代表美国能源部或美国政府的观点。
更新日期:2021-11-12
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