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Accelerated data-driven materials science with the Materials Project
Matthew K. Horton, Patrick Huck, Ruoxi Yang, Jason M. Munro, Shyam Dwaraknath, Alex M. Ganose, Ryan Kingsbury, Mingjian Wen 等 33 位
Lawrence Berkeley National Laboratory University of California, Berkeley Imperial College London Princeton University
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逐年被引趋势
176880
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17626
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229
被引次数 · OpenAlex
59.79
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.1%
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同领域 · 同年份 · 同类型
142
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学术脉络
学科主题
材料 / 化学Machine Learning in Materials Science
X-ray Diffraction in Crystallography · Advanced Materials Characterization Techniques
参考文献 142
The AFLOW standard for high-throughput materials science calculations
被引 424Camilo E. Calderón, José J. Plata, Cormac Toher · Computational Materials Science · 2015
High-Mobility Bismuth-based Transparent <i>p</i>-Type Oxide from High-Throughput Material Screening
被引 141Amit Bhatia, Geoffroy Hautier, Tan Nilgianskul · Chemistry of Materials · 2015
A Community Contribution Framework for Sharing Materials Data with Materials Project
被引 19Patrick Huck, Anubhav Jain, Dan Gunter · 2015
此处列出前 3 条
引用本文 229
Materials informatics: A review of AI and machine learning tools, platforms, data repositories, and applications to architectured porous materials
被引 28Fatima Živić, Ana Kaplarevic Malisic, Nenad Grujović · Materials Today Communications · 2025
An automated framework for exploring and learning potential-energy surfaces
被引 20Yuanbin Liu, Joe D. Morrow, Christina Ertural · Nature Communications · 2025
Foundation models for atomistic simulation of chemistry and materials
被引 19Eric C.-Y. Yuan, Yunsheng Liu, Junmin Chen · Nature Reviews Chemistry · 2026
按被引量排序，此处列出前 3 条