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The Journal of Physical Chemistry Letters
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September 1, 2021
From Enhanced Sampling to Reaction Profiles
Enrico Trizio, Michele Parrinello
The Journal of Chemical Physics
|
May 22, 2023
Deep learning collective variables from transition path ensemble
Dhiman Ray, Enrico Trizio, Michele Parrinello
Chemical Science
|
March 1, 2024
Structure and polymerization of liquid sulfur across the λ-transition
Manyi Yang, Enrico Trizio, Michele Parrinello
The Journal of Chemical Physics
|
April 2, 2026
Ceci n'est pas un committor, yet it samples like one: Efficient sampling via approximated committor functions
Enrico Trizio, Giorgia Rossi, Michele Parrinello
Nature Computational Science
|
May 5, 2025
Everything everywhere all at once: a probability-based enhanced sampling approach to rare events
Enrico Trizio, Peilin Kang, Michele Parrinello
Nature Computational Science
|
June 5, 2024
Computing the committor with the committor to study the transition state ensemble
Peilin Kang, Enrico Trizio, Michele Parrinello
The Journal of Chemical Physics
|
July 6, 2023
A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar
Luigi Bonati, Enrico Trizio, Andrea Rizzi, et al.
Journal of Chemical Theory and Computation
|
February 11, 2026
Committors without Descriptors
Peilin Kang, Jintu Zhang, Enrico Trizio, et al.
Journal of the American Chemical Society
|
June 17, 2025
Coordinated Residue Motions at the Enzyme-Substrate Interface Promote DNA Translocation in Polymerases
Alessia Visigalli, Enrico Trizio, Luigi Bonati, et al.
Chemical Reviews
|
October 22, 2025
Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications
Kai Zhu, Enrico Trizio, Jintu Zhang, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
The Journal of Physical Chemistry Letters
|
September 1, 2021
From Enhanced Sampling to Reaction Profiles
Enrico Trizio, Michele Parrinello
The Journal of Chemical Physics
|
May 22, 2023
Deep learning collective variables from transition path ensemble
Dhiman Ray, Enrico Trizio, Michele Parrinello
Chemical Science
|
March 1, 2024
Structure and polymerization of liquid sulfur across the λ-transition
Manyi Yang, Enrico Trizio, Michele Parrinello
The Journal of Chemical Physics
|
April 2, 2026
Ceci n'est pas un committor, yet it samples like one: Efficient sampling via approximated committor functions
Enrico Trizio, Giorgia Rossi, Michele Parrinello
Nature Computational Science
|
May 5, 2025
Everything everywhere all at once: a probability-based enhanced sampling approach to rare events
Enrico Trizio, Peilin Kang, Michele Parrinello
Nature Computational Science
|
June 5, 2024
Computing the committor with the committor to study the transition state ensemble
Peilin Kang, Enrico Trizio, Michele Parrinello
The Journal of Chemical Physics
|
July 6, 2023
A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar
Luigi Bonati, Enrico Trizio, Andrea Rizzi, et al.
Journal of Chemical Theory and Computation
|
February 11, 2026
Committors without Descriptors
Peilin Kang, Jintu Zhang, Enrico Trizio, et al.
Journal of the American Chemical Society
|
June 17, 2025
Coordinated Residue Motions at the Enzyme-Substrate Interface Promote DNA Translocation in Polymerases
Alessia Visigalli, Enrico Trizio, Luigi Bonati, et al.
Chemical Reviews
|
October 22, 2025
Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications
Kai Zhu, Enrico Trizio, Jintu Zhang, et al.
Page
of 2