29 citations · 73 across the 4 of their papers we have counts for
4 papers
Multi-Task Fine-Tuning Enables Robust Out-of-Distribution Generalization in Atomistic Models
Chengqian Zhang, Duo Zhang, Anyang Peng +7
Accurate de novo molecular and materials design requires structure-property models that generalize beyond known regimes. Although pretrained atomistic models achieve strong in-dist…
of two-dimensional electron gas: a neural canonical transformation study
Hao Xie, Linfeng Zhang, Lei Wang
The quasiparticle effective mass of interacting electrons is a fundamental quantity in the Fermi liquid theory. However, the precise value of the effective mass of uniform…
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation
Hao Xie, Linfeng Zhang, Lei Wang
We present a variational density matrix approach to the thermal properties of interacting fermions in the continuum. The variational density matrix is parametrized by a permutation…
Neural Canonical Transformation with Symplectic Flows
Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang +1
Canonical transformation plays a fundamental role in simplifying and solving classical Hamiltonian systems. We construct flexible and powerful canonical transformations as generati…