repoGitHubTrust 82 · PrimaryPublished 13h agoLive · 8h ago
deepmodeling/DeePTB
DeePTB: A deep learning package for tight-binding Hamiltonian with ab initio accuracy.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Implements
paperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarkpaperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationspaperBridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular SimulationspaperBridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks
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Related across the graph
paperBridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular SimulationspaperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarkpaperBridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural NetworkspaperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationsmodelHelix-7B