Raúl P. Peláez

Materials ScienceBiochemistry, Genetics and Molecular BiologyEngineeringPhysics and Astronomy

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 4 papers. Top paper: “OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials”.

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

The Journal of Physical Chemistry B(2023)10.1021/acs.jpcb.3c06662

N/A

0DataRank · unranked

495 citations

Raimondas Galvelis, Raúl P. Peláez, Charlles R. A. Abreu, Stephen E. Farr, Emilio Gallicchio +20 more

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

arXiv (Cornell University)(2023)10.48550/arxiv.2310.03121

N/A

0DataRank · unranked

20 citations

Raimondas Galvelis, Raúl P. Peláez, Charlles R. A. Abreu, Stephen E. Farr, Emilio Gallicchio +20 more

TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations

Journal of Chemical Theory and Computation(2024)10.1021/acs.jctc.4c00253

N/A

0DataRank · unranked

52 citations

Guillem Simeon, Raimondas Galvelis, Antonio Mirarchi, Peter Eastman, Stefan Doerr +4 more

Broadening the Scope of Neural Network Potentials through Direct Inclusion of Additional Molecular Attributes

arXiv (Cornell University)(2024)10.48550/arxiv.2403.15073

N/A

0DataRank · unranked

0 citations

Antonio Mirarchi, Raúl P. Peláez, Raimondas Galvelis, Gianni De Fabritiis, Guillem Simeon