54 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Laboratoire de Chimie ThéoriqueFR19 papers
- Sorbonne UniversitéFR19 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Institut Universitaire de FranceFR8 papers
- Laboratoire Jacques-Louis LionsFR6 papers
- Université Paris CitéFR6 papers
- Centre for Quantum Computation and Communication TechnologyAU5 papers
- Quark Pharmaceuticals (United States)US5 papers
- RMIT UniversityAU5 papers
- Université Paris 1 Panthéon-SorbonneFR5 papers
- Laboratoire Jean PerrinFR4 papers
- Australian Research CouncilAU3 papers
10 papers · 1 filter
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces
Nicolaï Gouraud, Côme Cattin, Thomas Plé +3
Following our previous work (J. Phys. Chem. Lett., 2026, 17, 5, 1288-1295), we propose the DMTS-NC approach, a distilled multi-time-step (DMTS) strategy using non-conservative (NC)…
QMCkl: A Kernel Library for Quantum Monte Carlo Applications
Emiel Slootman, Vijay Gopal Chilkuri, Aurelien Delval +16
Quantum Monte Carlo (QMC) methods deliver highly accurate electronic structure calculations but are computationally intensive. The quantum Monte Carlo kernel library (QMCkl) provid…
Dual-LAO for calculating fast and robust relative binding free energies of simple and complex transformations
Narjes Ansari, Félix Aviat, Jérôme Hénin +2
Relative Binding Free Energy (RBFE) calculations are a cornerstone of rational hit-to-lead and lead optimization in modern drug discovery. However, the high computational cost and…
Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation
Côme Cattin, Thomas Plé, Olivier Adjoua +3
We present a distilled multi-time-step (DMTS) strategy to accelerate molecular dynamics simulations using foundation neural network models. DMTS uses a dual-level neural network wh…
Interactive visualization of large molecular systems with VTX: example with a minimal whole-cell model
Maxime Maria, Valentin Guillaume, Simon Guionniere +10
VTX is an open-source molecular visualization software designed to overcome the scaling limitations of existing real-time molecular visualization software when handling massive mol…
Lambda-ABF-OPES: Faster Convergence with High Accuracy in Alchemical Free Energy Calculations
Narjes Ansari, Zhifeng Francis Jing, Antoine Gagelin +5
Predicting the binding affinity between small molecules and target macromolecules while combining both speed and accuracy, is a cornerstone of modern computational drug discovery w…
Shortcut to Chemically Accurate Quantum Computing via Density-based Basis-set Correction
Diata Traore, Olivier Adjoua, César Feniou +8
Using GPU-accelerated state-vector emulation, we propose to embed a quantum computing ansatz into density-functional theory via density-based basis-set corrections (DBBSC) to obtai…
Lambda-ABF: Simplified, Portable, Accurate and Cost-effective Alchemical Free Energy Computations
Louis Lagardère, Lise Maurin, Olivier Adjoua +4
We introduce an efficient and robust method to compute alchemical free energy differences, resulting from the application of multiple walker Adaptive Biasing Force (ABF) in conjunc…
TREXIO: A File Format and Library for Quantum Chemistry
Evgeny Posenitskiy, Vijay Gopal Chilkuri, Abdallah Ammar +13
TREXIO is an open-source file format and library developed for the storage and manipulation of data produced by quantum chemistry calculations. It is designed with the goal of prov…
Computationally driven discovery of SARS-CoV-2 Mpro inhibitors: from design to experimental validation
L. El Khoury, Z. Jing, A. Cuzzolin +32
We report a fast-track computationally-driven discovery of new SARS-CoV2 Main Protease (M) inhibitors whose potency range from mM for initial non-covalent ligands to sub-$μ…