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Eric Taw — most-cited papers & profile · AI for Science
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Eric Taw
2
papers ·
0
citations
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Most-cited papers
Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations
2023
Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials
2023
Top co-authors
Aditi S. Krishnapriyan
· 1
Andrew S. Rosen
· 1
Connie Robinson
· 1
Daniel Rothchild
· 1
Joseph E. Gonzalez
· 1
Keegan Quigley
· 1
Kevin Tibbetts
· 1
Lin Li
· 1
Teddy Koker
· 1
Topics
Chemistry
Materials
Physics ML