logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回

Advancing materials discovery through artificial intelligence

delete2025-11-03
delete0
delete
OA
AI
M
Martin Otyepka
M
Martin Pykal
M
Michal Otyepka *
DOI：10.1016/j.apmt.2025.102981delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
• 人工智能加速材料设计、合成和表征。 • 基于机器学习的力场以较低成本提供从头算方法的精度。 • 自动化实验室实现自动驾驶式发现与优化。 • 生成模型提出新材料和合成路线。 • 可解释人工智能提升模型可信度与科学洞察力。
Keyword:
Artificial intelligence
Machine learning
Materials discovery
Generative models
Autonomous laboratories
Force fields
Explainable AI
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Applied Materials Today 封面图
Applied Materials Today
IF:
6.9
论文数:
3.4K
被引数:
1.6W

机构

P
Palacký University Olomouc
学者数:
206
论文数: 78
被引数: 8.5K
引用论文

引用论文

Zheng P, Barber R, Sorensen RJD, Murray CJL, Aravkin AY. Trimmed Constrained Mixed Effects Models: Formulations and Algorithms. J Comput Graph Stat. Published online February 12, 2021:1-13. doi:10.1080/10618600.2020.1868303郑 P, Barber R, Sorensen RJD, Murray CJL, Aravkin AY. 截断约束混合效应模型：公式与算法. 计算机图形统计杂志. 2021年2月12日在线发表:1-13. doi:10.1080/10618600.2020.1868303
err
IF0
err2021-01-01
err0
PREAI
errPan Zheng; Zhonghua Xu; Zhangqin Gao
err分享
err收藏
A mobile robotic chemist移动机器人化学家
errNATURE
IF48.5
err2020-07-08
err766
PREAI
errBurger, Benjamin; Maffettone, Phillip M.; Gusev, Vladimir V.; Aitchison, Catherine M.; Bai, Yang; Wang, Xiaoyan; Li, Xiaobo; Alston, Ben M.; Li, Buyi; Clowes, Rob; Rankin, Nicola; Harris, Brandon; Sprick, Reiner Sebastian; Cooper, Andrew I.
err分享
err收藏
Machine learning: Trends, perspectives, and prospects机器学习: 趋势、观点和前景
errScience
IF0
err2015-07-17
err0
PREAI
errM. I. Jordan; T. M. Mitchell
err分享
err收藏
Can We Ever Develop an Ideal RNA Force Field? Lessons Learned from Simulations of the UUCG RNA Tetraloop and Other Systems我们能开发出理想的RNA力场吗？从UUCG RNA四环和其他系统的模拟中吸取的经验教训
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2025-01-15
err0
errOAAI
errMlynsky, Vojtech; Kuhrova, Petra; Pykal, Martin; Krepl, Miroslav; Stadlbauer, Petr; Otyepka, Michal; Banas, Pavel; Sponer, Jiri
err分享
err收藏
Governing Framework for the Responsible Democratization of Large-Language Models in BankingS. Mandal, P.K. Maiti，《通过机器学习原子间势预测CALF-20中的热导率（达到第一性原理精度）》，Commun. Mater. 6 (2025) 1–12. https://doi.org/10.1038/s43246-025-00745-y.
errIEEE Internet Computing
IF4.4
err2025-10-20
err0
PREAI
errAbhishek Mandal; Rajitha Ramanayake; Owen O’Neill; William Flanagan; Nabeel Kemal; Mehdi Yekrangi; Houssem Chatbri; Christopher Martin
err分享
err收藏
Workers of the world, unite (and cooperate): changing coordination strategies of organized labor in post-socialist settingsJ. Navrátil, R. Topolnicki, M. Otyepka, P. Błoński, 《量子材料中原子尺度磁各向异性的可解释机器学习》, NPJ. Comput. Mater. 11 (2025) 1–10. https://doi.org/10.1038/s41524-025-01637-y.
errEuropean Societies
IF2.2
err2026-04-30
err3
errOAAI
errNavratil, Jiri
err分享
err收藏
Inequality in a More Equal World—Labor Market Gender Gaps in St. Lucia在更加平等的世界中的不平等——圣卢西亚劳动力市场性别差距
errIMF Working Papers
IF0
err2024-06-01
err0
errOAAI
errHyunmin Park
err分享
err收藏
Explainable Machine Learning for Scientific Insights and Discoveries用于科学见解和发现的可解释机器学习
errIEEE ACCESS
IF3.6
err2020-01-01
err588
errOAAI
errRoscher, Ribana; Bohn, Bastian; Duarte, Marco F.; Garcke, Jochen
err分享
err收藏
Accelerated AI development for autonomous materials synthesis in flow在流动中加速自主材料合成的AI开发
errCHEMICAL SCIENCE
IF7.4
err2021-01-01
err45
errOAAI
errEpps, Robert W.; Volk, Amanda A.; Reyes, Kristofer G.; Abolhasani, Milad
err分享
err收藏
ProtAgents: protein discovery via large language model multi-agent collaborations combining physics and machine learningProtAgents: 通过大型语言模型发现蛋白质结合物理和机器学习的多代理协作
errDIGITAL DISCOVERY
IF5.6
err2024-01-01
err8
errOAAI
errGhafarollahi, Alireza; Buehler, Markus J.
err分享
err收藏
学者 查看更多内容