DeepTMC: A deep learning platform to targeted design doped transition metal compounds-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

DeepTMC: A deep learning platform to targeted design doped transition metal compounds

Published:2022-03 Issue: Volume:45 Page:1201-1211
ISSN:2405-8297
Container-title:Energy Storage Materials
language:en
Short-container-title:Energy Storage Materials

Author:

Wang Zhilong,Han Yanqiang,Cai Junfei,Wu Sicheng,Li Jinjin

Funder

National Key Laboratory of Science and Technology on Micro/Nano Fabrication

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference58 articles.

1. Defects and aliovalent doping engineering in electroceramics;Feng;Chem. Rev.,2020

2. Semiconductor qubits in practice;Chatterjee;Nat. Rev. Phys.,2021

3. Understanding doping of quantum materials;Zunger;Chem. Rev.,2021

4. Electronic-structure methods for materials design;Marzari;Nat. Mater.,2021

5. Machine-learned impurity level prediction for semiconductors: the example of Cd-based chalcogenides;Mannodi-Kanakkithodi;npj Comput. Mater.,2020

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stabilizing dual-cation liquid metal battery for large-scale energy storage: A comprehensive hybrid design approach;Energy Storage Materials;2024-06

2. Multiscale modeling for enhanced battery health analysis: Pathways to longevity;Carbon Neutralization;2024-05

3. Enhancing interpretability in the exploration of high-energy conversion efficiency in CsSnBr3−xIx configurations using crystal graph convolutional neural networks and adversarial example methods;Science China Materials;2024-03-07

4. Mining ionic conductivity descriptors of antiperovskite electrolytes for all-solid-state batteries via machine learning;Journal of Energy Storage;2024-01

5. MatGPT: A Vane of Materials Informatics from Past, Present, to Future;Advanced Materials;2023-12-02

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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3