Scholar
Gianni De Fabritiis
Google Scholar ID: -_kX4kMAAAAJ
Computational Science Laboratory, Icrea Research Professor, Acellera
Computer simulations
Artificial intelligence
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Citations & Impact
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Citations
9,077
H-index
42
i10-index
86
Publications
20
Co-authors
159
list available
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Publications
1 items
AceFF: A State-of-the-Art Machine Learning Potential for Small Molecules
2026
Cited
1
Resume
Academic Achievements
Pioneered research in neural network potentials (e.g., TorchMD-NET)
Introduced differentiable simulations via TorchMD
Achieved 2nd place in the Unity Obstacle Tower Challenge (NeurIPS competition) and holds SOTA performance
Won multiple blind challenges in drug discovery
Developed generative models for molecular structures (e.g., LigDream, LigaNN)
Created machine learning methods for 3D molecular structures (e.g., Kdeep, DeepSite)
Launched Donate@home—accepting Bitcoin donations to support scientific research
Research Experience
Co-leads the OpenMM project with John Chodera (MSKCC), Tom Markland, and Peter Eastman (Stanford University)
Developed ACEMD—the first biomolecular simulation software on GPUs, still one of the fastest molecular dynamics codes
Created GPUGRID.net—one of the world's largest distributed computing projects, pioneering GPU use in distributed computing
Built TorchMD—a PyTorch-based framework for molecular dynamics with seamless integration of neural network potentials
Developed HTMD—a Python platform for end-to-end computational biology workflows including simulation, docking, and adaptive sampling
Contributed to Playmolecule—an AI co-scientist application for drug discovery (now managed by Acellera)
Developed TorchRL—a PyTorch-based reinforcement learning library for modular agent construction
Co-authors
6 total
MJ Harvey
Imperial College London
Stefan Doerr
Acellera Ltd
Noe Frank
Microsoft Research
PV Coveney
UCL
Cecilia Clementi
Professor of Physics, Freie Universität Berlin
Simon Olsson
Chalmers University of Technology