Mao Su

Orcid: 0000-0003-2066-881X

According to our database1, Mao Su authored at least 15 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
An SO(3)-equivariant reciprocal-space neural potential for long-range interactions.
CoRR, March, 2026

Discovery of Interpretable Physical Laws in Materials via Language-Model-Guided Symbolic Regression.
CoRR, February, 2026

Equivariant Evidential Deep Learning for Interatomic Potentials.
CoRR, February, 2026

2025
An Agentic Framework for Autonomous Materials Computation.
CoRR, December, 2025

ATLAS: A High-Difficulty, Multidisciplinary Benchmark for Frontier Scientific Reasoning.
CoRR, November, 2025

ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System.
CoRR, September, 2025

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics.
CoRR, August, 2025

Iterative Pretraining Framework for Interatomic Potentials.
CoRR, July, 2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Geometry-enhanced pretraining on interatomic potentials.
Nat. Mac. Intell., 2024

Physical formula enhanced multi-task learning for pharmacokinetics prediction.
CoRR, 2024

ChemLLM: A Chemical Large Language Model.
CoRR, 2024

2023
Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates.
Mach. Learn. Sci. Technol., September, 2023

2022
Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids.
CoRR, 2022

2018
Integrated Estimation/Guidance Law against Exoatmospheric Maneuvering Targets.
Complex., 2018


  Loading...