Phone
+39 010 2897 439
Research center
CHT@Erzelli
All Publications
2025
Das S., Raucci U., Trizio E., Kang P., Neves R.P., Ramos M.J., Parrinello M.
A Machine Learning-Driven, Probability-Based Approach to Enzyme Catalysis
ACS Catalysis, vol. 15, (no. 11), pp. 9785-9792
2025
Parrinello M., Greed S.
Discussions with a dignitary of molecular dynamics
Nature Reviews Chemistry, vol. 9, (no. 9)
Note
Journal
2025
Trizio E., Kang P., Parrinello M.
Everything everywhere all at once: a probability-based enhanced sampling approach to rare events
Nature Computational Science
Article
Journal
2025
Novelli P., Meanti G., Buigues P., Rosasco L., Parrinello M., Pontil M., Bonati L.
Fast and Fourier Features for Transfer Learning of Interatomic Potentials
npj Computational Materials
Article
Journal
2025
Tosello Gardini A., Raucci U., Parrinello M.
Machine learning-driven molecular dynamics unveils a bulk phase transformation driving ammonia synthesis on barium hydride
Nature Communications, vol. 16, (no. 1)
Scientific Talks
2024
Trizio E., Kang P., Parrinello M.
Computing the committor using the committor to study the transitions state ensemble
CSI workshop 2024 - Princeton University
Workshop/Symposium
2021
Parrinello M.
Artificial Intelligence meets Atomistic Simulations
Summit on Artificial Intelligence G20 Event
Workshop/Symposium
2021
Parrinello M.
Keynote Speaker
INM-IBI Retreat
Workshop/Symposium
2021
Parrinello M.
Machine Learning and Molecular Dynamics
Thomas Young Centre 15th Anniversary
Workshop/Symposium
2021
Parrinello M.
Machine Learning and Molecular Dynamics
Innovative Strategies for Neurodegenerative Diseases CECAM Pisa
Workshop/Symposium
Oral presentations
2021
Bonati L., Parrinello M.
Building machine learning potentials for reactive events using enhanced sampling methods
ML-IP Psi-k Young & Early Career Researchers' Workshop
Conference
Awards and Achievements
2025
Parrinello M.
Erwin Schrödinger Institute Medal
2025
Parrinello M.
USI Medal
2024
Parrinello M.
Clarivate Citation Laureate
2024
Parrinello M.
Foreign Member of the Chinese Academy of science
2021
Parrinello M.
Giulio Natta Medal
Organized Events
2024
Bonati L., Glezakou V., Head-Gordon T., Head-Gordon M., Parrinello M., Piccini G.
Advances in catalytic reactivity simulations under operando conditions
Colleagues of Atomistic Simulations