Small Data Machine Learning Approaches in Molecular and Materials Science

图书馆学 引用 计算机科学 化学 万维网
作者
Siddarth K. Achar,John A. Keith
出处
期刊:Chemical Reviews [American Chemical Society]
卷期号:124 (24): 13571-13573
标识
DOI:10.1021/acs.chemrev.4c00957
摘要

InfoMetrics Chemical ReviewsVol 124/Issue 24Article CiteCitationCitation and abstractCitation and referencesMore citation options ShareShare onFacebookX (Twitter)WeChatLinkedInRedditEmailJump toExpandCollapse HighlightDecember 25, 2024Small Data Machine Learning Approaches in Molecular and Materials ScienceClick to copy article linkArticle link copied!Siddarth K. AcharSiddarth K. AcharComputational Modeling & Simulation Program, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United StatesDepartment of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United StatesMore by Siddarth K. AcharJohn A. Keith*John A. KeithDepartment of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States*E-mail: [email protected]More by John A. Keithhttps://orcid.org/0000-0002-6583-6322Other Access OptionsChemical ReviewsCite this: Chem. Rev. 2024, 124, 24, 13571–13573Click to copy citationCitation copied!https://pubs.acs.org/doi/10.1021/acs.chemrev.4c00957https://doi.org/10.1021/acs.chemrev.4c00957Published December 25, 2024 Publication History Received 10 December 2024Published online 25 December 2024Published in issue 25 December 2024in-briefCopyright © Published 2024 by American Chemical SocietyRequest reuse permissionsACS PublicationsCopyright © Published 2024 by American Chemical Society Subjectswhat are subjectsArticle subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article.First-principles calculationsMaterialsMaterials scienceMolecular modelingQuality management Note: In lieu of an abstract, this is the article's first page. Read this article To access this article, please review the available access options below. Get instant access Purchase Access Read this article for 48 hours. Check out below using your ACS ID or as a guest. Purchase Access Restore my guest access Recommended Access through Your Institution You may have access to this article through your institution. Your institution does not have access to this content. Add or change your institution or let them know you'd like them to include access. Access Through Recommend Publication Institution Name Loading Institutional Login Options... Access Through Your Institution Add or Change Institution Explore subscriptions for institutions Recommended Log in to Access You may have access to this article with your ACS ID if you have previously purchased it or have ACS member benefits. Log in below. Login with ACS ID Purchase access Purchase this article for 48 hours $48.00 Add to cart Purchase this article for 48 hours Checkout Cited By Click to copy section linkSection link copied!This article has not yet been cited by other publications.Download PDF Get e-AlertsGet e-AlertsChemical ReviewsCite this: Chem. Rev. 2024, 124, 24, 13571–13573Click to copy citationCitation copied!https://doi.org/10.1021/acs.chemrev.4c00957Published December 25, 2024 Publication History Received 10 December 2024Published online 25 December 2024Published in issue 25 December 2024Copyright © Published 2024 by American Chemical SocietyRequest reuse permissionsArticle Views-Altmetric-Citations-Learn about these metrics closeArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.Recommended Articles
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
花开那年发布了新的文献求助10
1秒前
1秒前
1秒前
3秒前
qzj发布了新的文献求助10
3秒前
SovietUnion1920完成签到,获得积分20
4秒前
chen应助diegomht采纳,获得10
4秒前
thz发布了新的文献求助10
4秒前
mary发布了新的文献求助10
5秒前
6秒前
科目三应助1Yer6采纳,获得30
6秒前
Jasper应助everglow采纳,获得30
6秒前
6秒前
6秒前
ac发布了新的文献求助10
6秒前
Sue完成签到,获得积分20
6秒前
7秒前
酷波er应助ztt采纳,获得30
8秒前
云_123发布了新的文献求助10
10秒前
thz完成签到,获得积分20
10秒前
10秒前
10秒前
11秒前
郭杰完成签到,获得积分10
11秒前
精明冰蓝完成签到,获得积分10
12秒前
三三完成签到 ,获得积分10
12秒前
刘坦苇发布了新的文献求助80
13秒前
15秒前
斯文败类应助qing采纳,获得10
15秒前
15秒前
16秒前
hyl完成签到,获得积分10
16秒前
17秒前
DouBo完成签到,获得积分10
18秒前
18秒前
沐晴完成签到,获得积分10
18秒前
19秒前
likw23完成签到 ,获得积分10
20秒前
小蘑菇应助mary采纳,获得30
20秒前
要减肥的乐双完成签到 ,获得积分10
21秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Aspects of Babylonian celestial divination : the lunar eclipse tablets of enuma anu enlil 1500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
지식생태학: 생태학, 죽은 지식을 깨우다 600
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3459450
求助须知:如何正确求助?哪些是违规求助? 3053885
关于积分的说明 9039213
捐赠科研通 2743260
什么是DOI,文献DOI怎么找? 1504731
科研通“疑难数据库(出版商)”最低求助积分说明 695392
邀请新用户注册赠送积分活动 694677