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Silvia Amabilino

Showing results (1-10 of 5) with videos related to

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Inorganic Chemistry|February 11, 2017
DFT Analysis of Spin Crossover in Mn(III) Complexes: Is a Two-Electron S = 2 to S = 0 Spin Transition Feasible?Silvia Amabilino, Robert J Deeth
Journal of Chemical Information and Modeling|July 14, 2020
Guidelines for Recurrent Neural Network Transfer Learning-Based Molecular Generation of Focused LibrariesSilvia Amabilino, Peter Pogány, Stephen D Pickett, et al.
Journal of Chemical Theory and Computation|July 26, 2018
Adaptively Accelerating Reactive Molecular Dynamics Using Boxed Molecular Dynamics in Energy SpaceRobin J Shannon, Silvia Amabilino, Mike O'Connor, et al.
The Journal of Chemical Physics|October 23, 2020
Training atomic neural networks using fragment-based data generated in virtual realitySilvia Amabilino, Lars A Bratholm, Simon J Bennie, et al.
The Journal of Physical Chemistry. A|March 21, 2019
Training Neural Nets To Learn Reactive Potential Energy Surfaces Using Interactive Quantum Chemistry in Virtual RealitySilvia Amabilino, Lars A Bratholm, Simon J Bennie, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Inorganic Chemistry|February 11, 2017
DFT Analysis of Spin Crossover in Mn(III) Complexes: Is a Two-Electron S = 2 to S = 0 Spin Transition Feasible?Silvia Amabilino, Robert J Deeth
Journal of Chemical Information and Modeling|July 14, 2020
Guidelines for Recurrent Neural Network Transfer Learning-Based Molecular Generation of Focused LibrariesSilvia Amabilino, Peter Pogány, Stephen D Pickett, et al.
Journal of Chemical Theory and Computation|July 26, 2018
Adaptively Accelerating Reactive Molecular Dynamics Using Boxed Molecular Dynamics in Energy SpaceRobin J Shannon, Silvia Amabilino, Mike O'Connor, et al.
The Journal of Chemical Physics|October 23, 2020
Training atomic neural networks using fragment-based data generated in virtual realitySilvia Amabilino, Lars A Bratholm, Simon J Bennie, et al.
The Journal of Physical Chemistry. A|March 21, 2019
Training Neural Nets To Learn Reactive Potential Energy Surfaces Using Interactive Quantum Chemistry in Virtual RealitySilvia Amabilino, Lars A Bratholm, Simon J Bennie, et al.
Pageof 1