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International Journal for Numerical Methods in Biomedical Engineering
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November 5, 2019
Reduced-order modeling of hemodynamics across macroscopic through mesoscopic circulation scales
Olivier Adjoua, Stéphanie Pitre-Champagnat, Didier Lucor
Accounts of Chemical Research
|
May 7, 2021
Atomistic Polarizable Embeddings: Energy, Dynamics, Spectroscopy, and Reactivity
Daniele Loco, Louis Lagardère, Olivier Adjoua, et al.
The Journal of Chemical Physics
|
July 25, 2024
FeNNol: An efficient and flexible library for building force-field-enhanced neural network potentials
Thomas Plé, Olivier Adjoua, Louis Lagardère, et al.
The Journal of Physical Chemistry Letters
|
February 7, 2023
Generalized Many-Body Dispersion Correction through Random-Phase Approximation for Chemically Accurate Density Functional Theory
Pier Paolo Poier, Olivier Adjoua, Louis Lagardère, et al.
Journal of Chemical Theory and Computation
|
March 6, 2025
Velocity Jumps for Molecular Dynamics
Nicolaï Gouraud, Louis Lagardère, Olivier Adjoua, et al.
The Journal of Physical Chemistry Letters
|
March 14, 2024
Sparse Quantum State Preparation for Strongly Correlated Systems
César Feniou, Olivier Adjoua, Baptiste Claudon, et al.
Chemical Science
|
September 2, 2024
Water-glycan interactions drive the SARS-CoV-2 spike dynamics: insights into glycan-gate control and camouflage mechanisms
Marharyta Blazhynska, Louis Lagardère, Chengwen Liu, et al.
The Journal of Physical Chemistry Letters
|
January 21, 2026
Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models Using Multiple Time Steps and Distillation
Côme Cattin, Thomas Plé, Olivier Adjoua, et al.
The Journal of Physical Chemistry Letters
|
May 11, 2022
Accurate Deep Learning-Aided Density-Free Strategy for Many-Body Dispersion-Corrected Density Functional Theory
Pier Paolo Poier, Théo Jaffrelot Inizan, Olivier Adjoua, et al.
Journal of Chemical Theory and Computation
|
June 6, 2026
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative Forces
Nicolaï Gouraud, Côme Cattin, Thomas Plé, et al.
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Search research articles
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Showing results (1-10 of 21) with videos related to
Sort By:
Page
of 3
International Journal for Numerical Methods in Biomedical Engineering
|
November 5, 2019
Reduced-order modeling of hemodynamics across macroscopic through mesoscopic circulation scales
Olivier Adjoua, Stéphanie Pitre-Champagnat, Didier Lucor
Accounts of Chemical Research
|
May 7, 2021
Atomistic Polarizable Embeddings: Energy, Dynamics, Spectroscopy, and Reactivity
Daniele Loco, Louis Lagardère, Olivier Adjoua, et al.
The Journal of Chemical Physics
|
July 25, 2024
FeNNol: An efficient and flexible library for building force-field-enhanced neural network potentials
Thomas Plé, Olivier Adjoua, Louis Lagardère, et al.
The Journal of Physical Chemistry Letters
|
February 7, 2023
Generalized Many-Body Dispersion Correction through Random-Phase Approximation for Chemically Accurate Density Functional Theory
Pier Paolo Poier, Olivier Adjoua, Louis Lagardère, et al.
Journal of Chemical Theory and Computation
|
March 6, 2025
Velocity Jumps for Molecular Dynamics
Nicolaï Gouraud, Louis Lagardère, Olivier Adjoua, et al.
The Journal of Physical Chemistry Letters
|
March 14, 2024
Sparse Quantum State Preparation for Strongly Correlated Systems
César Feniou, Olivier Adjoua, Baptiste Claudon, et al.
Chemical Science
|
September 2, 2024
Water-glycan interactions drive the SARS-CoV-2 spike dynamics: insights into glycan-gate control and camouflage mechanisms
Marharyta Blazhynska, Louis Lagardère, Chengwen Liu, et al.
The Journal of Physical Chemistry Letters
|
January 21, 2026
Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models Using Multiple Time Steps and Distillation
Côme Cattin, Thomas Plé, Olivier Adjoua, et al.
The Journal of Physical Chemistry Letters
|
May 11, 2022
Accurate Deep Learning-Aided Density-Free Strategy for Many-Body Dispersion-Corrected Density Functional Theory
Pier Paolo Poier, Théo Jaffrelot Inizan, Olivier Adjoua, et al.
Journal of Chemical Theory and Computation
|
June 6, 2026
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative Forces
Nicolaï Gouraud, Côme Cattin, Thomas Plé, et al.
Page
of 3