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  • Publications
  • Collaborators and Friends
  • Present Group, Visitors and Alumni
  • Contact

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Fast, systematic and robust relative binding free energies for simple and complex transformations : dual-LAO

2 weeks agoJean-Philip Piquemalnews

New paper published in Communications Chemistry: Fast, systematic and robust relative binding free energies for simple and complex transformations : dual-LAO N. Ansari, F. Aviat, J. Hénin, J.-P. Piquemal, L....

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The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery.

2 months ago 2 weeks agoJean-Philip Piquemalnews

New preprint published on aXiv: The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery. N. Ansari, C. Feniou, N. Gouraud, D. Loco, S. Badreddine,...

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Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models Using Multiple Time Steps and Distillation

4 months ago 4 months agoJean-Philip Piquemalnews

New paper, published in the Journal of Physical Chemistry Letters: Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation C. Cattin, T. Plé, O. Adjoua,...

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FeNNix-Bio1 highlighted in GENCI’s Grand Challenges report 2025

5 months agoJean-Philip Piquemalnews

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...

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Release of the FeNNixBio1 foundation machine learning model for drug design

5 months agoJean-Philip Piquemalnews

💫 We just released the weights of the FeNNixBio1 foundation machine learning model for drug design! 💫 Weights: https://github.com/FeNNol-tools/FeNNol-PMC FeNNol code: https://github.com/FeNNol-tools/FeNNol The models are distributed under the open source...

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New preprint: Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer

5 months ago 5 months agoJean-Philip Piquemalnews

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

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New preprint: An Optimal Framework for Constructing Lie-Algebra Generator Pools: Application to Variational Quantum Eigensolvers for Chemistry

5 months ago 5 months agoJean-Philip Piquemalnews

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 ...

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César Feniou’s PhD defense (december 11th 2025)

5 months ago 5 months agoJean-Philip Piquemalnews

Congrats to César Feniou  who succesfully defended his theoretical chemistry PhD on december 11th 2025: “Quantum algorithms for first-principles quantum chemistry” !!!!  

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Quantum Speedup for Nonreversible Markov Chains

6 months ago 6 months agoJean-Philip Piquemalnews

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...

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New preprint: Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation

7 months ago 5 months agoJean-Philip Piquemalnews

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,...

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Recent Posts

  • Fast, systematic and robust relative binding free energies for simple and complex transformations : dual-LAO
  • The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery.
  • Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models Using Multiple Time Steps and Distillation
  • FeNNix-Bio1 highlighted in GENCI’s Grand Challenges report 2025
  • Release of the FeNNixBio1 foundation machine learning model for drug design

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    Jean-Philip Piquemal - Sorbonne Université, Laboratoire de Chimie Théorique, UMR 7616 CNRS, CC137, 4 Place Jussieu, Tour 12-13, 4ème étage, 75252 Paris Cedex 05, France. E-mail: jean-philip.piquemal at sorbonne-universite.fr Tel : (+33) 1.44.27.25.04