FeNNix-Bio1 highlighted in GENCI’s Grand Challenges report 2025
New Grand Challenges GENCI report dedicated to the Jean Zay 4 machine at IDRIS. Our work on the FeNNix-Bio1 machine learning foundation model can be found on pages 22-25. Check...
Release of the FeNNixBio1 foundation machine learning model for drug design
đź’« We just released the weights of the FeNNixBio1 foundation machine learning model for drug design! đź’« Weights: https://github.com/FeNNol-tools/FeNNol-PMC FeNNol code: https://github.com/FeNNol-tools/FeNNol The models are distributed under the open source...
New preprint: Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer
Check our latest preprint: Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer. D. Loco, K. Barkemeyer, A. R. R. Carvalho, J.-P. Piquemal, 2025, submitted [HAL][Arxiv] DOI: 10.48550/arXiv.2512.08390
New preprint: An Optimal Framework for Constructing Lie-Algebra Generator Pools: Application to Variational Quantum Eigensolvers for Chemistry
Check our latest preprint: An Optimal Framework for Constructing Lie-Algebra Generator Pools: Application to Variational Quantum Eigensolvers for Chemistry. Y. Viswanathan, O. Adjoua, C. Féniou, S. Baddredine, J.-P. Piquemal, 2025, submitted ...
CĂ©sar Feniou’s PhD defense (december 11th 2025)
Congrats to CĂ©sar Feniou who succesfully defended his theoretical chemistry PhD on december 11th 2025: “Quantum algorithms for first-principles quantum chemistry” !!!!
Quantum Speedup for Nonreversible Markov Chains
Check our new paper published in Nature Communications: Quantum Speedup for Nonreversible Markov Chains. B. Claudon, J.-P. Piquemal, P. Monmarché, Nature Communications, 2025, 16, 10732 (Open Access) DOI: 10.1038/s41467-025-65761-5 Blog: Check our...
New preprint: Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation
Check our latest preprint: Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation. C. Cattin, T. Plé, O. Adjoua, N. Gouraud, L. Lagardère, J.-P. Piquemal, 2025,...
Targeting RNA with small molecules using state-of-the-art methods provides highly predictive affinities of riboswitch inhibitors
Check our new paper published in Communications Biology: Targeting RNA with Small Molecules using State-of-the-Art Methods Provides Highly Predictive Affinities of Riboswitch Inhibitors. N. Ansari, C. Liu, F. HĂ©din, J....
New preprint: Real‑Space Chemistry on Quantum Computers: A Fault‑Tolerant Algorithm with Adaptive Grids and Transcorrelated Extension.
Check our latest lpreprint: Real‑Space Chemistry on Quantum Computers: A Fault‑Tolerant Algorithm with Adaptive Grids and Transcorrelated Extension. C. Feniou, C. Cherfan, J. Zylberman, B. Claudon, J.-P. Piquemal, E. Giner, 2025,...
NicolaĂŻ Gouraud’s PhD defense (june 27th 2025)
Congrats to NicolaĂŻ Gouraud who brilliantly defended his applied mathematics PhD thesis on june 27th 2025: “Stochastic algorithms for high-dimensional sampling in molecular dynamics: mathematical analysis and scalable implementation“.