Los Alamos National Laboratory
ORCID: 0000-0002-4781-9561Also affiliated with University of Chicago
Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Driven by 4 papers. Top paper: “Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles”.
Timothy D. Loose, Aleksander E. P. Durumeric, Gregory A. Voth, Patrick G. Sahrmann
Patrick G. Sahrmann, Thomas S. Qu, Gregory A. Voth, Timothy D. Loose
Gregory A. Voth, Patrick G. Sahrmann
Gregory A. Voth, Patrick G. Sahrmann