Accelerated data-driven materials science with the Materials Project

材料科学 纳米技术 工程物理 计算机科学 工程类
作者
Matthew K. Horton,Patrick Huck,Ruoxi Yang,Jason M. Munro,Shyam Dwaraknath,Alex M. Ganose,Ryan Kingsbury,Mingjian Wen,Jianxin Shen,Tyler S. Mathis,Aaron D. Kaplan,Karlo Berket,Janosh Riebesell,Janine George,Andrew Rosen,Evan Walter Clark Spotte‐Smith,Matthew J. McDermott,Orion A. Cohen,Alexander Dunn,Matthew C. Kuner
出处
期刊:Nature Materials [Springer Nature]
卷期号:24 (10): 1522-1532 被引量:34
标识
DOI:10.1038/s41563-025-02272-0
摘要

The Materials Project was launched formally in 2011 to drive materials discovery forwards through high-throughput computation and open data. More than a decade later, the Materials Project has become an indispensable tool used by more than 600,000 materials researchers around the world. This Perspective describes how the Materials Project, as a data platform and a software ecosystem, has helped to shape research in data-driven materials science. We cover how sustainable software and computational methods have accelerated materials design while becoming more open source and collaborative in nature. Next, we present cases where the Materials Project was used to understand and discover functional materials. We then describe our efforts to meet the needs of an expanding user base, through technical infrastructure updates ranging from data architecture and cloud resources to interactive web applications. Finally, we discuss opportunities to better aid the research community, with the vision that more accessible and easy-to-understand materials data will result in democratized materials knowledge and an increasingly collaborative community.
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
1秒前
3秒前
3秒前
Amelie完成签到,获得积分20
3秒前
SAN发布了新的文献求助10
4秒前
隐形曼青应助fangtong采纳,获得10
4秒前
4秒前
4秒前
4秒前
4秒前
hopen发布了新的文献求助10
5秒前
Morssax完成签到,获得积分10
5秒前
繁荣的夏岚完成签到 ,获得积分10
6秒前
圆圆完成签到 ,获得积分10
7秒前
ziyue发布了新的文献求助10
8秒前
9秒前
乐观兔子发布了新的文献求助10
9秒前
11秒前
SciGPT应助儒雅的夏山采纳,获得10
13秒前
Amelie发布了新的文献求助10
14秒前
14秒前
Twonej应助jack_kunn采纳,获得30
15秒前
15秒前
star发布了新的文献求助10
17秒前
唐唐完成签到 ,获得积分10
18秒前
18秒前
李健的小迷弟应助kaxif采纳,获得10
18秒前
19秒前
20秒前
乐观兔子完成签到,获得积分10
20秒前
YYYCCC发布了新的文献求助30
23秒前
23秒前
Lucy发布了新的文献求助80
25秒前
26秒前
Breeze完成签到,获得积分10
27秒前
27秒前
wanci应助SAN采纳,获得10
28秒前
遇见多欢喜完成签到,获得积分10
29秒前
喵喵完成签到,获得积分10
29秒前
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5638636
求助须知:如何正确求助?哪些是违规求助? 4746155
关于积分的说明 15003459
捐赠科研通 4796649
什么是DOI,文献DOI怎么找? 2562919
邀请新用户注册赠送积分活动 1522153
关于科研通互助平台的介绍 1481946