Introduces an inverse-design framework showing that energy barriers and binding-site separations in bistable nanostructures are readily programmable while transition-state location and full profile shape require more design freedom.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A PINN-trained quasi-parton model reproduces lattice cumulants at vanishing chemical potentials and supplies a consistent four-dimensional QCD equation of state at finite densities.
citing papers explorer
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Designing bistable nanostructures for target behavior
Introduces an inverse-design framework showing that energy barriers and binding-site separations in bistable nanostructures are readily programmable while transition-state location and full profile shape require more design freedom.
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Four-dimensional QCD equation of state from a quasi-parton model with physics-informed neural networks
A PINN-trained quasi-parton model reproduces lattice cumulants at vanishing chemical potentials and supplies a consistent four-dimensional QCD equation of state at finite densities.