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Kavindri D. Ranasinghe
Kavindri D. Ranasinghe
Exscientia, University of Florida
E-mailová adresa ověřena na: exscientia.co.uk
Název
Citace
Citace
Rok
Machine learning of reactive potentials
Y Yang, S Zhang, KD Ranasinghe, O Isayev, AE Roitberg
Annual Review of Physical Chemistry 75 (1), 371-395, 2024
222024
Axially Chiral Cannabinols: A New Platform for Cannabinoid‐Inspired Drug Discovery
PV Navaratne, JL Wilkerson, KD Ranasinghe, E Semenova, JS Felix, ...
ChemMedChem 15 (9), 728-732, 2020
92020
Insights and Challenges in Correcting Force Field Based Solvation Free Energies Using a Neural Network Potential
J Karwounopoulos, Z Wu, S Tkaczyk, S Wang, A Baskerville, ...
The Journal of Physical Chemistry B 128 (28), 6693-6703, 2024
22024
AQuaRef: Machine learning accelerated quantum refinement of protein structures
PVA Roman Zubatyuk, Malgorzata Biczysko, Kavindri Ranasinghe, Nigel W ...
bioRxiv 2024.07.21.604493; doi: https://doi.org/10.1101/2024.07.21.604493, 2024
2024
Modeling of Chemical Reactions and Protein Structure Refinement Using Machine Learning
KD Ranasinghe
University of Florida, 2022
2022
Transference of knowledge in deep learning for chemically accurate organic reaction profiles
K Ranasinghe, J Smith, O Isayev, A Roitberg
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019
2019
Active learning in chemical space for the automatic improvement of the ANI deep learned potential with an application to reaction profiles
J Smith, K Ranasinghe, C Devereux, O Isayev, A Roitberg
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 255, 2018
2018
ANAKIN-ME: Using deep learning to develop a chemically accurate and universal potential for the prediction of organic reactions
K Ranasinghe, J Smith, O Isayev, A Roitberg
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 255, 2018
2018
Application of ANI deep learned potentials to general computational chemistry problems
J Smith, K Ranasinghe, C Devereux, O Isayev, A Roitberg
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 255, 2018
2018
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Články 1–9