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20242026
most citedTraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction

2 citations · 3 across the 6 of their papers we have counts for

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hep-ph2025★ 1 cited

Dissecting the moat regime at low energies I: Renormalization and the phase structure

Fabian Rennecke, Shi Yin

Dense QCD matter can feature a moat regime, where the static energy of mesons is minimal at nonzero momentum. Valuable insights into this regime can be gained using low-energy mode…

cs.LG2025

Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials

Shi Yin, Zujian Dai, Xinyang Pan +1

Deep learning methods for electronic-structure Hamiltonian prediction has offered significant computational efficiency advantages over traditional DFT methods, yet the diversity of…