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Tess Smidt — most-cited papers & profile · AI for Science
← authors
·
overview
Tess Smidt
19
papers ·
201
citations ·
25
h-index
Landesarchiv · Massachusetts Institute of Technology
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Most-cited papers
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
2022 · 67 citations
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023 · 54 citations
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
2021 · 23 citations
Generative Coarse-Graining of Molecular Conformations
2022 · 23 citations
High-performance training and inference for deep equivariant interatomic potentials
2025 · 11 citations
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
2023 · 4 citations
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
2024 · 4 citations
A Recipe for Charge Density Prediction
2024 · 4 citations
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
2023 · 2 citations
Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant Autoencoders
2023 · 2 citations
Machine learning electronic structure and atomistic properties from the external potential
2026
Accelerating Protein Molecular Dynamics Simulation with DeepJump
2025
EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers
2026
PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials
2026
Implicit Augmentation from Distributional Symmetry in Turbulence Super-Resolution
2025
Top co-authors
Mario Geiger
· 5
Tommi Jaakkola
· 4
Allan dos Santos Costa
· 3
Ameya Daigavane
· 3
Yi-Lun Liao
· 3
Albert Musaelian
· 2
Boris Kozinsky
· 2
Ilan Mitnikov
· 2
Joseph Jacobson
· 2
Julia Balla
· 2
Manvitha Ponnapati
· 2
Minkai Xu
· 2
Topics
Chemistry
Physics ML
Materials
Protein Science
Drug Discovery
Climate & Weather