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Luigi Bonati

Showing results (1-10 of 23) with videos related to

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Physical Review Letters|January 13, 2019
Silicon Liquid Structure and Crystal Nucleation from Ab Initio Deep MetadynamicsLuigi Bonati, Michele Parrinello
The Journal of Physical Chemistry Letters|April 3, 2020
Data-Driven Collective Variables for Enhanced SamplingLuigi Bonati, Valerio Rizzi, Michele Parrinello
Proceedings of the National Academy of Sciences of the United States of America|October 28, 2021
Deep learning the slow modes for rare events samplingLuigi Bonati, GiovanniMaria Piccini, Michele Parrinello
Proceedings of the National Academy of Sciences of the United States of America|August 17, 2019
Neural networks-based variationally enhanced samplingLuigi Bonati, Yue-Yu Zhang, Michele Parrinello
The Journal of Chemical Physics|July 6, 2023
A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvarLuigi Bonati, Enrico Trizio, Andrea Rizzi, et al.
Journal of Chemical Theory and Computation|May 27, 2024
Combining Transition Path Sampling with Data-Driven Collective Variables through a Reactivity-Biased Shooting AlgorithmJintu Zhang, Odin Zhang, Luigi Bonati, et al.
Nature Communications|January 5, 2021
The role of water in host-guest interactionValerio Rizzi, Luigi Bonati, Narjes Ansari, et al.
Journal of Chemical Theory and Computation|August 3, 2022
Characterizing Metastable States with the Help of Machine LearningPietro Novelli, Luigi Bonati, Massimiliano Pontil, et al.
Chirurgia Italiana|April 11, 2002
[Gastric polyps: a clinical contribution]Roberto Sivelli, Paolo Del Rio, Luigi Bonati, et al.
The Journal of Chemical Physics|May 15, 2024
Deep learning path-like collective variable for enhanced sampling molecular dynamicsThorben Fröhlking, Luigi Bonati, Valerio Rizzi, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Physical Review Letters|January 13, 2019
Silicon Liquid Structure and Crystal Nucleation from Ab Initio Deep MetadynamicsLuigi Bonati, Michele Parrinello
The Journal of Physical Chemistry Letters|April 3, 2020
Data-Driven Collective Variables for Enhanced SamplingLuigi Bonati, Valerio Rizzi, Michele Parrinello
Proceedings of the National Academy of Sciences of the United States of America|October 28, 2021
Deep learning the slow modes for rare events samplingLuigi Bonati, GiovanniMaria Piccini, Michele Parrinello
Proceedings of the National Academy of Sciences of the United States of America|August 17, 2019
Neural networks-based variationally enhanced samplingLuigi Bonati, Yue-Yu Zhang, Michele Parrinello
The Journal of Chemical Physics|July 6, 2023
A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvarLuigi Bonati, Enrico Trizio, Andrea Rizzi, et al.
Journal of Chemical Theory and Computation|May 27, 2024
Combining Transition Path Sampling with Data-Driven Collective Variables through a Reactivity-Biased Shooting AlgorithmJintu Zhang, Odin Zhang, Luigi Bonati, et al.
Nature Communications|January 5, 2021
The role of water in host-guest interactionValerio Rizzi, Luigi Bonati, Narjes Ansari, et al.
Journal of Chemical Theory and Computation|August 3, 2022
Characterizing Metastable States with the Help of Machine LearningPietro Novelli, Luigi Bonati, Massimiliano Pontil, et al.
Chirurgia Italiana|April 11, 2002
[Gastric polyps: a clinical contribution]Roberto Sivelli, Paolo Del Rio, Luigi Bonati, et al.
The Journal of Chemical Physics|May 15, 2024
Deep learning path-like collective variable for enhanced sampling molecular dynamicsThorben Fröhlking, Luigi Bonati, Valerio Rizzi, et al.
Pageof 3