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Erpai Luo

2 accepted papers

2025

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity

ICML 2025poster

Hamiltonian matrix prediction is pivotal in computational chemistry, serving as the foundation for determining a wide range of molecular properties. While SE(3) equivariant graph neural networks have achieved remarkable success in this domain, their substantial computational cost—driven by high-orde…

2025

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems

ICLR 2025spotlight

Density Functional Theory (DFT) is a pivotal method within quantum chemistry and materials science, with its core involving the construction and solution of the Kohn-Sham Hamiltonian. Despite its importance, the application of DFT is frequently limited by the substantial computational resources requ…

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