We have 3 of 10 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Fine-tuning three Hamiltonian networks on QH9 in this way, which the authors call FermiScope, reduces the HOMO-LUMO gap error without increasing the element-wise error.
A Hybrid Lagrangian-Eulerian neural simulator that augments Lagrangian dynamics with an Eulerian representation and substantially suppresses error accumulation is proposed, establishing a new state-of-the-art for accuracy and rollout stability in Lagrangian fluid simulation.
By formalizing the classical conditions for well-posedness within neural operators, this framework demonstrates the theoretical benefits of explicitly conditioning on PDE parameters and boundary conditions and achieves superior generalization across heterogeneous physical regimes while maintaining strict inference effi...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
