Vincenzo Lordi

13PUBLICATIONS
41CO-AUTHORS
Deep learningColloid and surface chemistrySemi- and unsupervised learningDegenerate quantum gases and atom opticsRadiation and matter
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Publications (13)

|Apr 23, 2026
Maximizing efficiency of dataset compression for machine learning potentials with information theory.

|Dec 31, 2025
Cluster-Graph Fingerprinting: A Framework for Quantitative Analysis of Machine-Learned Interatomic Model Training and Simulation Data.

Benjamin R Laubach, Vincenzo Lordi, Rebecca K Lindsey

|Oct 01, 2025
Subnanometer Thick Native sp2 Carbon on Oxidized Diamond Surfaces.

Ricardo Vidrio, Cesar Saucedo, Vincenzo Lordi

|Apr 29, 2025
Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory.

Daniel Schwalbe-Koda, Sebastien Hamel, Babak Sadigh

|Feb 12, 2025
Direct experimental constraints on the spatial extent of a neutrino wavepacket.

Joseph Smolsky, Kyle G Leach, Ryan Abells

|Aug 28, 2024
Accuracy, transferability, and computational efficiency of interatomic potentials for simulations of carbon under extreme conditions.

Jonathan T Willman, Joseph M Gonzalez, Kien Nguyen-Cong

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Frequent Collaborators

3 joint publications

Joel B Varley

2 joint publications

Shimon Kolkowitz

2 joint publications

Keith G Ray

2 joint publications

Daniel Schwalbe-Koda