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piquemalresearch.compiquemalresearch.com
  • Home
  • Research & Softwares
  • Publications
  • Collaborators and Friends
  • Present Group, Visitors and Alumni
  • Contact

Jean-Philip Piquemal

Jean-Philip Piquemal

Quantum Speedup for Nonreversible Markov Chains

7 days ago 7 days 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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Targeting RNA with small molecules using state-of-the-art methods provides highly predictive affinities of riboswitch inhibitors

2 months ago 2 months agoJean-Philip Piquemalnews

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. Hédin, J....

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Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer

6 months ago 6 months agoJean-Philip Piquemalnews

Check our new paper published in Scientific Reports: Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer C. Feniou, M. Hassan, B. Claudon, A. Courtat, O....

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VTX: Real-time high-performance molecular structure and dynamics visualization software.

7 months agoJean-Philip Piquemalnews

Check this new paper published in Bioinformatics: VTX: Real-time high-performance molecular structure and dynamics visualization software. M. Maria, S. Guionnière, N. Dacquay, C. Plateau–Holleville, V. Guillaume, V. Larroque, J. Lardé,...

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Pushing the Accuracy Limit of Foundation Neural Network Models with Quantum Monte Carlo Forces and Path Integrals .

7 months ago 7 months agoJean-Philip Piquemalnews

Check this second preprint related to the FeNNix-Bio1 foundation machine learning model: Pushing the Accuracy Limit of Foundation Neural Network Models with Quantum Monte Carlo Forces and Path Integrals ....

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A Foundation Model for Accurate Atomistic Simulations in Drug Design

7 months agoJean-Philip Piquemalnews

Check this new important preprint (ChemRXiv) introducing the FeNNix-Bio1 foundation machine learning model: A Foundation Model for Accurate Atomistic Simulations in Drug Design. T. Plé, O. Adjoua, A. Benali, E. Posenitskiy,...

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Machine Learning for Computational Chemistry

7 months ago 2 months agoJean-Philip PiquemalSoftwares

Our group is interested in the development of new machine learning approaches for Computational chemistry. We focus on : algorithmic developments, ranging from machine-learning assisted parametrization of force fields and...

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Lambda-ABF-OPES: Faster Convergence with High Accuracy in Alchemical Free Energy Calculations

7 months agoJean-Philip Piquemalnews

Check our new paper in the Journal of Physical Chemistry Letters: Lambda-ABF-OPES: Faster Convergence with High Accuracy in Alchemical Free Energy Calculations. N. Ansari, F. Jing , A. Gagelin, F....

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AMOEBA Polarizable Molecular Dynamics Simulations of Guanine Quadruplexes: from the c-Kit Proto-oncogene to HIV-1

7 months ago 7 months agoJean-Philip Piquemalnews

Check our new paper in the Journal of Chemical Information and Modeling: AMOEBA Polarizable Molecular Dynamics Simulations of Guanine Quadruplexes: from the c-Kit Proto-oncogene to HIV-1. D. S. El Ahdab,...

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The need to implement FAIR principles in biomolecular simulations

8 months agoJean-Philip Piquemalnews

Check our new paper in Nature Methods: The need to implement FAIR principles in biomolecular simulations Rommie Amaro, Johan Åqvist, Ivet Bahar, Federica Battistini, Adam Bellaiche, Daniel Beltran, Philip C...

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Recent Posts

  • Quantum Speedup for Nonreversible Markov Chains
  • Targeting RNA with small molecules using state-of-the-art methods provides highly predictive affinities of riboswitch inhibitors
  • Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer
  • VTX: Real-time high-performance molecular structure and dynamics visualization software.
  • Pushing the Accuracy Limit of Foundation Neural Network Models with Quantum Monte Carlo Forces and Path Integrals .

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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