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francesco.zamponi@uniroma1.it
Francesco Zamponi
Professore Associato
Struttura:
DIPARTIMENTO DI FISICA
E-mail:
francesco.zamponi@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Scaling regimes and fluctuations of observables in computer glasses approaching the unjamming transition
THE JOURNAL OF CHEMICAL PHYSICS
2024
Towards parsimonious generative modeling of RNA families
NUCLEIC ACIDS RESEARCH
2024
The nature of non-phononic excitations in disordered systems
NATURE COMMUNICATIONS
2024
Creating equilibrium glassy states via random particle bonding
JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT
2024
Unlearning regularization for Boltzmann machines
MACHINE LEARNING: SCIENCE AND TECHNOLOGY
2024
Understanding epistatic networks in the B1 β-lactamases through coevolutionary statistical modeling and deep mutational scanning
NATURE COMMUNICATIONS
2024
Emergent time scales of epistasis in protein evolution
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2024
Ductile-to-brittle transition and yielding in soft amorphous materials: perspectives and open questions
SOFT MATTER
2024
Microscopic observation of two-level systems in a metallic glass model
THE JOURNAL OF CHEMICAL PHYSICS
2023
Creating bulk ultrastable glasses by random particle bonding
NATURE COMMUNICATIONS
2023
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
MACHINE LEARNING: SCIENCE AND TECHNOLOGY
2023
Introduction to the dynamics of disordered systems: Equilibrium and gradient descent
PHYSICA. A
2023
On weak ergodicity breaking in mean-field spin glasses
SCIPOST PHYSICS
2023
Finding defects in glasses through machine learning
NATURE COMMUNICATIONS
2023
Spin Glass Theory and Far Beyond
Spin Glass Theory and Far Beyond: Replica Symmetry Breaking after 40 Years
2023
Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks
THE JOURNAL OF CHEMICAL PHYSICS
2022
Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks
THE JOURNAL OF CHEMICAL PHYSICS
2022
Local Dynamical Heterogeneity in Simple Glass Formers
PHYSICAL REVIEW LETTERS
2022
Efficient generative modeling of protein sequences using simple autoregressive models
NATURE COMMUNICATIONS
2022
Modeling Sequence-Space Exploration and Emergence of Epistatic Signals in Protein Evolution
MOLECULAR BIOLOGY AND EVOLUTION
2022
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