Search Results for author: Michele Invernizzi

Found 4 papers, 3 papers with code

Rigid Body Flows for Sampling Molecular Crystal Structures

1 code implementation26 Jan 2023 Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé

Normalizing flows (NF) are a class of powerful generative models that have gained popularity in recent years due to their ability to model complex distributions with high flexibility and expressiveness.

Variational Inference

Collective Variables for the Study of Crystallization

no code implementations8 Jan 2021 Tarak Karmakar, Michele Invernizzi, Valerio Rizzi, Michele Parrinello

Enhanced sampling methods can overcome this time scale hurdle.

Soft Condensed Matter

A Unified Approach to Enhanced Sampling

1 code implementation6 Jul 2020 Michele Invernizzi, Pablo Miguel Piaggi, Michele Parrinello

The resulting method is very general and can be used to achieve different types of enhanced sampling.

Computational Physics

Rethinking Metadynamics

1 code implementation16 Sep 2019 Michele Invernizzi, Michele Parrinello

Metadynamics is an enhanced sampling method of great popularity, based on the on-the-fly construction of a bias potential that is function of a selected number of collective variables.

Computational Physics

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