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Xiang Fu
Observed name:
Fu, Xiang
Institution:
Meta (United States)
Observed institutions:
Northwestern University,
Cornell University,
Meta (United States),
Microsoft Research (United Kingdom),
MIT Computer Science and Artificial Intelligence Laboratory,
Massachusetts Institute of Technology
show all 6
ORCID:
0000-0001-7480-6312
Observed ORCID:
0000-0001-7480-6312
OpenAlex ID:
A5056242193
A generative model for inorganic materials design
2025
·
Claudio Zeni
, Robert Pinsler
, et al.
·
Nature
·
932
PDF
The Open Materials 2024 (OMat24) inorganic materials dataset and models
2026
·
Luis Barros-Luque
, Muhammed Shuaibi
, et al.
·
Nature Computational Science
·
496
PDF
UMA: A Family of Universal Models for Atoms
2025
·
Brandon Wood
, Misko Dzamba
, et al.
·
neural information processing systems
·
431
PDF
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
2021
·
Xie, Tian
, Fu, Xiang
, et al.
·
arXiv (Cornell University)
·
395
PDF
A practical guide to machine learning interatomic potentials – Status and future
2025
·
Ryan Jacobs
, Dane Morgan
, et al.
·
Current Opinion in Solid State and Materials Science
·
290
PDF
Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations
2022
·
Fu, Xiang
, Wu, Zhenghao
, et al.
·
arXiv (Cornell University)
·
282
PDF
Artificial intelligence for science in quantum, atomistic, and continuum systems
2025
·
Xuan Zhang
, Limei Wang
, et al.
·
Foundations and Trends® in Machine Learning
·
215
PDF
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
2025
·
Fu, Xiang
, Wood, Brandon M.
, et al.
·
arXiv (Cornell University)
·
194
PDF
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
2025
·
Joshi, Chaitanya K.
, Fu, Xiang
, et al.
·
arXiv (Cornell University)
·
69
PDF
Learning to Jump from Pixels
2021
·
Margolis, Gabriel B.
, Chen, Tao
, et al.
·
arXiv (Cornell University)
·
62
PDF
Open Molecular Crystals 2025 (OMC25) dataset and models
2026
·
Vahe Gharakhanyan
, Luis Barroso-Luque
, et al.
·
Scientific Data
·
61
PDF
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
2023
·
Fu, Xiang
, Xie, Tian
, et al.
·
arXiv (Cornell University)
·
41
PDF
Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks
2022
·
Fu, Xiang
, Xie, Tian
, et al.
·
arXiv (Cornell University)
·
36
PDF
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
2025
·
Havens, Aaron
, Miller, Benjamin Kurt
, et al.
·
arXiv (Cornell University)
·
35
PDF
Virtual node graph neural network for full phonon prediction
2024
·
Ryotaro Okabe
, Abhijatmedhi Chotrattanapituk
, et al.
·
Nature Computational Science
·
35
PDF
Structural constraint integration in a generative model for the discovery of quantum materials
2025
·
Ryotaro Okabe
, Mouyang Cheng
, et al.
·
Nature Materials
·
27
PDF
Learning Task Informed Abstractions
2021
·
Fu, Xiang
, Yang, Ge
, et al.
·
arXiv (Cornell University)
·
18
PDF
Learning to See Physical Properties with Active Sensing Motor Policies
2023
·
Margolis, Gabriel B.
, Fu, Xiang
, et al.
·
arXiv (Cornell University)
·
17
PDF
FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms
2025
·
Gharakhanyan, Vahe
, Yang, Yi
, et al.
·
arXiv (Cornell University)
·
15
PDF
Modelling and analysis of tagging networks in Stack Exchange communities
2019
·
Xiang Fu
, Shangdi Yu
, et al.
·
Journal of Complex Networks
·
13
PDF
Thermodynamically Informed Multimodal Learning of High-Dimensional Free Energy Models in Molecular Coarse Graining
2024
·
Blake Duschatko
, Xiang Fu
, et al.
·
Research Square
·
12
PDF
A Recipe for Charge Density Prediction
2024
·
Xiang Fu
, Andrew Rosen
, et al.
·
neural information processing systems
·
12
PDF
Learning Interatomic Potentials at Multiple Scales
2023
·
Fu, Xiang
, Musaelian, Albert
, et al.
·
arXiv (Cornell University)
·
8
PDF
Fragment-based Sequential Translation for Molecular Optimization
2021
·
Chen, Benson
, Fu, Xiang
, et al.
·
arXiv (Cornell University)
·
7
PDF
Fragment-based Sequential Translation for Molecular Optimization
2021
·
Benson Chen
, Xiang Fu
, et al.
·
4
PDF
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Works count:
66
Citation count:
4,097
H-index:
18
I10-index:
23
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