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Physical Chemistry Chemical Physics : PCCP
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July 19, 2022
Correction: Transfer learned potential energy surfaces: accurate anharmonic vibrational dynamics and dissociation energies for the formic acid monomer and dimer
Silvan Käser, Markus Meuwly
Physical Chemistry Chemical Physics : PCCP
|
November 18, 2021
Transfer learned potential energy surfaces: accurate anharmonic vibrational dynamics and dissociation energies for the formic acid monomer and dimer
Silvan Käser, Markus Meuwly
The Journal of Physical Chemistry Letters
|
March 20, 2024
Numerical Accuracy Matters: Applications of Machine Learned Potential Energy Surfaces
Silvan Käser, Markus Meuwly
The Journal of Chemical Physics
|
June 1, 2023
Transfer-learned potential energy surfaces: Toward microsecond-scale molecular dynamics simulations in the gas phase at CCSD(T) quality
Silvan Käser, Markus Meuwly
Physical Chemistry Chemical Physics : PCCP
|
May 27, 2022
Double proton transfer in hydrated formic acid dimer: Interplay of spatial symmetry and solvent-generated force on reactivity
Kai Töpfer, Silvan Käser, Markus Meuwly
Precision Chemistry
|
June 1, 2026
Compact Kernel/Neural Network Representation for Accurate, Fast, and Global Reactive Molecular Potential Energy Surfaces
Silvan Käser, Debasish Koner, Markus Meuwly
Journal of Chemical Theory and Computation
|
June 20, 2025
Transfer Learning for Predictive Molecular Simulations: Data-Efficient Potential Energy Surfaces at CCSD(T) Accuracy
Silvan Käser, Jeremy O Richardson, Markus Meuwly
Journal of Chemical Theory and Computation
|
October 24, 2022
Transfer Learning for Affordable and High-Quality Tunneling Splittings from Instanton Calculations
Silvan Käser, Jeremy O Richardson, Markus Meuwly
The Journal of Chemical Physics
|
June 8, 2020
Isomerization and decomposition reactions of acetaldehyde relevant to atmospheric processes from dynamics simulations on neural network-based potential energy surfaces
Silvan Käser, Oliver T Unke, Markus Meuwly
Journal of Chemical Theory and Computation
|
September 12, 2025
Roadmap to CCSD(T)-Quality Machine-Learned Potentials for Condensed Phase Simulations
Eric D Boittier, Silvan Käser, Markus Meuwly
Page
of 3
Search research articles
Search
Showing results (1-10 of 27) with videos related to
Sort By:
Page
of 3
Physical Chemistry Chemical Physics : PCCP
|
July 19, 2022
Correction: Transfer learned potential energy surfaces: accurate anharmonic vibrational dynamics and dissociation energies for the formic acid monomer and dimer
Silvan Käser, Markus Meuwly
Physical Chemistry Chemical Physics : PCCP
|
November 18, 2021
Transfer learned potential energy surfaces: accurate anharmonic vibrational dynamics and dissociation energies for the formic acid monomer and dimer
Silvan Käser, Markus Meuwly
The Journal of Physical Chemistry Letters
|
March 20, 2024
Numerical Accuracy Matters: Applications of Machine Learned Potential Energy Surfaces
Silvan Käser, Markus Meuwly
The Journal of Chemical Physics
|
June 1, 2023
Transfer-learned potential energy surfaces: Toward microsecond-scale molecular dynamics simulations in the gas phase at CCSD(T) quality
Silvan Käser, Markus Meuwly
Physical Chemistry Chemical Physics : PCCP
|
May 27, 2022
Double proton transfer in hydrated formic acid dimer: Interplay of spatial symmetry and solvent-generated force on reactivity
Kai Töpfer, Silvan Käser, Markus Meuwly
Precision Chemistry
|
June 1, 2026
Compact Kernel/Neural Network Representation for Accurate, Fast, and Global Reactive Molecular Potential Energy Surfaces
Silvan Käser, Debasish Koner, Markus Meuwly
Journal of Chemical Theory and Computation
|
June 20, 2025
Transfer Learning for Predictive Molecular Simulations: Data-Efficient Potential Energy Surfaces at CCSD(T) Accuracy
Silvan Käser, Jeremy O Richardson, Markus Meuwly
Journal of Chemical Theory and Computation
|
October 24, 2022
Transfer Learning for Affordable and High-Quality Tunneling Splittings from Instanton Calculations
Silvan Käser, Jeremy O Richardson, Markus Meuwly
The Journal of Chemical Physics
|
June 8, 2020
Isomerization and decomposition reactions of acetaldehyde relevant to atmospheric processes from dynamics simulations on neural network-based potential energy surfaces
Silvan Käser, Oliver T Unke, Markus Meuwly
Journal of Chemical Theory and Computation
|
September 12, 2025
Roadmap to CCSD(T)-Quality Machine-Learned Potentials for Condensed Phase Simulations
Eric D Boittier, Silvan Käser, Markus Meuwly
Page
of 3