New article published in the Journal of Chemical Physics: "FeNNol: an Efficient and Flexible Library for Building Force-field-enhanced Neural Network Potentials" by T. Plé, O. [...]

New article published in Chemical Science: Force-Field-Enhanced Neural Network Interactions: from Local Equivariant Embedding to Atom-in-Molecule properties and long-range effects. T. Plé, L. Lagardère, Jean-Philip [...]

New article published in Chemical Science: Scalable Hybrid Deep Neural Networks/Polarizable Potentials Biomolecular Simulations including Long-range Effects. T. Jaffrelot Inizan, T. Plé, O. Adjoua, P. [...]

New paper published in the Journal of Chemical Theory and Computation: Routine Molecular Dynamics Simulations Including Nuclear Quantum Effects: from Force Fields to Machine Learning [...]