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Raimon Fabregat

Showing results (1-10 of 7) with videos related to

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Chimia|December 30, 2019
Quantum Chemistry Meets Machine LearningAlberto Fabrizio, Benjamin Meyer, Raimon Fabregat, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|September 29, 2020
Tuning the Thermal Stability and Photoisomerization of Azoheteroarenes through Macrocycle Strain*Sergi Vela, Alan Scheidegger, Raimon Fabregat, et al.
Journal of Chemical Theory and Computation|March 28, 2020
Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Computational Organic ChemistryRaimon Fabregat, Alberto Fabrizio, Benjamin Meyer, et al.
The Journal of Organic Chemistry|June 28, 2022
How Robust Is the Reversible Steric Shielding Strategy for Photoswitchable Organocatalysts?Simone Gallarati, Raimon Fabregat, Veronika Juraskova, et al.
Chemical Science|June 14, 2021
Reaction-based machine learning representations for predicting the enantioselectivity of organocatalystsSimone Gallarati, Raimon Fabregat, Rubén Laplaza, et al.
Journal of Chemical Theory and Computation|February 18, 2022
Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of OligopeptidesRaimon Fabregat, Alberto Fabrizio, Edgar A Engel, et al.
Journal of Chemical Information and Modeling|February 6, 2024
From Organic Fragments to Photoswitchable Catalysts: The OFF-ON Structural Repository for Transferable Kernel-Based PotentialsFrédéric Célerse, Matthew D Wodrich, Sergi Vela, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Chimia|December 30, 2019
Quantum Chemistry Meets Machine LearningAlberto Fabrizio, Benjamin Meyer, Raimon Fabregat, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|September 29, 2020
Tuning the Thermal Stability and Photoisomerization of Azoheteroarenes through Macrocycle Strain*Sergi Vela, Alan Scheidegger, Raimon Fabregat, et al.
Journal of Chemical Theory and Computation|March 28, 2020
Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Computational Organic ChemistryRaimon Fabregat, Alberto Fabrizio, Benjamin Meyer, et al.
The Journal of Organic Chemistry|June 28, 2022
How Robust Is the Reversible Steric Shielding Strategy for Photoswitchable Organocatalysts?Simone Gallarati, Raimon Fabregat, Veronika Juraskova, et al.
Chemical Science|June 14, 2021
Reaction-based machine learning representations for predicting the enantioselectivity of organocatalystsSimone Gallarati, Raimon Fabregat, Rubén Laplaza, et al.
Journal of Chemical Theory and Computation|February 18, 2022
Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of OligopeptidesRaimon Fabregat, Alberto Fabrizio, Edgar A Engel, et al.
Journal of Chemical Information and Modeling|February 6, 2024
From Organic Fragments to Photoswitchable Catalysts: The OFF-ON Structural Repository for Transferable Kernel-Based PotentialsFrédéric Célerse, Matthew D Wodrich, Sergi Vela, et al.
Pageof 1