How machine learning can extend electroanalytical measurements beyond analytical interpretation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

How machine learning can extend electroanalytical measurements beyond analytical interpretation

Published:2024 Issue: Volume: Page:
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Mistry Aashutosh¹²^ORCID,Johnson Ian D.¹²^ORCID,Cabana Jordi²³^ORCID,Ingram Brian J.¹²^ORCID,Srinivasan Venkat¹²^ORCID

Affiliation:

1. Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, Illinois 60439, USA

2. Joint Center for Energy Storage Research, Argonne National Laboratory, Lemont, Illinois 60439, USA

3. Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois 60607, USA

Abstract

Machine learning can simultaneously infer multiple physics-consistent material properties from electroanalytical tests, as well as describe underlying field variations.

Funder

Basic Energy Sciences

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2024/CP/D3CP04628A

Reference71 articles.

1. J.Newman and N. P.Balsara , Electrochemical Systems , John Wiley & Sons , 2021

2. A. J.Bard and L. R.Faulkner Electrochemical Methods Fundamentals of Electrochemistry , 2001

3. Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning

4. Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling

5. Steady state current flow in solid binary electrolyte cells

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP