🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Saptarsi Mondal

The University of Texas at Austin

ORCID: 0000-0003-1140-9322

Physics and AstronomyMaterials ScienceChemistry

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.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “Machine Learning Potentials Accurately Reproduce Vibrational Dynamics in Complex Environments”.

Machine Learning Potentials Accurately Reproduce Vibrational Dynamics in Complex Environments

ChemRxiv(2025)10.26434/chemrxiv-2025-fcjgf

N/A

0DataRank · unranked

0 citations

Saptarsi Mondal, Carlos R. Baiz, Chloe Starkey

Machine learning potentials accurately reproduce vibrational dynamics in complex environments

The Journal of Chemical Physics(2025)10.1063/5.0306072

N/A

0DataRank · unranked

0 citations

Saptarsi Mondal, Carlos R. Baiz, Chloe Starkey