Author

Rahul Somasundaram

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Preprint Sep 2026

Parametric Neural Quantum States for Nuclear Physics

We introduce a new approach, based on neural quantum states (NQSs), to rapidly compute nuclear observables when couplings in nuclear Hamiltonians are varied. A single interaction-dependent NQS, trained across a range of couplings in the Hamiltonian, provides high-fidelity wavefunctions for that continuous range of inte...

Yukari Yamauchi, Ryan Curry, G. King et al. · 0 citations

Open access Aug 2026

A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability.

The AIntibody challenge shows that AI can optimize antibodies in defined, biologically grounded regimes, in addition to highlighting critical gaps including affinity prediction and library-inspired antibody design and cross-task generalization.

M. Erasmus, Daniel Bedinger, Elizabeth Hopkins et al. · Nature Biotechnology · 0 citations