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Employment (2)

Nvidia (United States): New York, NY, US

2022-06 to present | Senior Scientist (Clara Discovery)
Employment
Source: Self-asserted source
Farhad Ramezanghorbani

Schrodinger (United States): New York, New York, US

2021-01 to 2022-06 | Senior Scientist (Machine Learning)
Employment
Source: Self-asserted source
Farhad Ramezanghorbani

Education and qualifications (2)

University of Florida: Gainesville, Florida, US

2015-08-16 to 2020-12-31 | Ph.D. Student (Chemistry)
Education
Source: Self-asserted source
Farhad Ramezanghorbani

Koc Universitesi: Istanbul, TR

2013-08-15 to 2017-07-14 | M.Sc. (Computational Sciences)
Education
Source: Self-asserted source
Farhad Ramezanghorbani

Works (4)

Transferable Neural Network Potential Energy Surfaces for Closed-Shell Organic Molecules: Extension to Ions

Journal of Chemical Theory and Computation
2022-03-15 | Journal article
DOI: 10.1021/acs.jctc.1c00821
Part of ISSN: 1549-9618
Part of ISSN: 1549-9626
Source: Self-asserted source
Farhad Ramezanghorbani

TorchANI: A Free and Open Source PyTorch-Based Deep Learning Implementation of the ANI Neural Network Potentials

Journal of Chemical Information and Modeling
2020-07-27 | Journal article
DOI: 10.1021/acs.jcim.0c00451
Contributors: Xiang Gao; Farhad Ramezanghorbani; Olexandr Isayev; Justin S. Smith; Adrian E. Roitberg
Source: check_circle
Crossref

Optimizing Protein–Polymer Interactions in a Poly(ethylene glycol) Coarse-Grained Model

The Journal of Physical Chemistry B
2018-08-23 | Journal article
DOI: 10.1021/acs.jpcb.8b05359
Contributors: Farhad Ramezanghorbani; Ping Lin; Coray M. Colina
Source: check_circle
Crossref

A multi-state coarse grained modeling approach for an intrinsically disordered peptide

The Journal of Chemical Physics
2017-09-07 | Journal article
DOI: 10.1063/1.5001087
Contributors: Farhad Ramezanghorbani; Cahit Dalgicdir; Mehmet Sayar
Source: check_circle
Crossref
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