activity
20212026
most citedDADApy: Distance-based Analysis of DAta-manifolds in Python

41 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.BM2026

PHASE: encoding global protein ensembles with local Hamiltonians and all-atom backmapping

Daniele Angioletti, Marco Nobile, Matteo Carli +1

Protein function is governed by conformational ensembles, which can be viewed as high-dimensional probability distributions over molecular conformations. Yet the statistical organi…

cond-mat.mtrl-sci2025★ 3 cited

Coupled reaction and diffusion governing interface evolution in solid-state batteries

Jingxuan Ding, Laura Zichi, Matteo Carli +4

Understanding and controlling the atomistic-level reactions governing the formation of the solid-electrolyte interphase (SEI) is crucial for the viability of next-generation solid…

stat.ML2024★ 1 cited

Density Estimation via Binless Multidimensional Integration

Matteo Carli, Alex Rodriguez, Alessandro Laio +1

We introduce the Binless Multidimensional Thermodynamic Integration (BMTI) method for nonparametric, robust, and data-efficient density estimation. BMTI estimates the logarithm of…

cs.LG2022★ 41 cited

DADApy: Distance-based Analysis of DAta-manifolds in Python

Aldo Glielmo, Iuri Macocco, Diego Doimo +6

DADApy is a python software package for analysing and characterising high-dimensional data manifolds. It provides methods for estimating the intrinsic dimension and the probability…

physics.chem-ph2021★ 9 cited

Statistically Unbiased Free Energy Estimates from Biased Simulations

Matteo Carli, Alessandro Laio

Estimating the free energy in molecular simulation requires, implicitly or explicitly, counting how many times the system is observed in a finite region. If the simulation is biase…