Matthew K. Horton

机构：Microsoft (United States), Lawrence Berkeley National Laboratory, National Nuclear Laboratory, Microsoft Research (United Kingdom), University of California, Berkeley · ORCID：0000-0001-7777-8871

发表论文 111 篇 · 总被引 4382 次 · h-index 36

代表论文

• A generative model for inorganic materials design (2025 · Nature · 被引 421)
• Accelerated data-driven materials science with the Materials Project (2025 · Nature Materials · 被引 229)
• MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures (2024 · arXiv (Cornell University) · 被引 101)
• High-throughput determination of Hubbard U and Hund J values for transition metal oxides via the linear response formalism (2024 · Physical Review Materials · 被引 95)
• MatterGen: a generative model for inorganic materials design (2023 · arXiv (Cornell University) · 被引 71)
• Atomate2: modular workflows for materials science (2025 · Digital Discovery · 被引 35)