Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
–Neural Information Processing Systems
We propose a versatile framework that combines DEQ with off-the-shelf machine learning models for predicting Hamiltonians.
Neural Information Processing Systems
Feb-17-2026, 03:34:26 GMT
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- Beijing > Beijing (0.04)
- Guangxi Province > Nanning (0.04)
- Shaanxi Province > Xi'an (0.04)
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- Asia > China
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- Research Report > Experimental Study (0.93)
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- Energy (0.46)
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