9
Publications
3K
Citations
9
H-Index
2013
Active since
Ryan Soklaski is an author at Washington University in St. Louis specializing in engineering, applied physics, and physics.
Top concepts
EngineeringPhysicsApplied PhysicsCondensed Matter PhysicsData ScienceDeep LearningComputer ScienceMachine LearningMaterial ScienceChemistry
Publications per year
2013–2023
9
9
Layer-controlled band gap and anisotropic excitons in few-layer black phosphorus
Vy Tran, Ryan Soklaski, Yufeng Liang et al. · Physical Review B · 2014 · 2.3K citations · Full text
Neural scaling of deep chemical models
Nathan C. Frey, Ryan Soklaski, Simon Axelrod et al. · Nature Machine Intelligence · 2023 · 96 citations · Full text
Large Ai Model, Geometric Learning, Graph Neural Network +15
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