PINNs for counterdiabatic driving
Research software
Jupyter tutorials, trained models, data, and code for counterdiabatic quantum computation using physics-informed neural networks.
Public code and tools that support scientific work.
Research software
Jupyter tutorials, trained models, data, and code for counterdiabatic quantum computation using physics-informed neural networks.
Research software
Physics-informed neural networks for spherical scalar-field gravitational collapse, with training code, pretrained models, reference data and Jupyter tutorials.
Research software
Gradient-annihilated physics-informed neural networks for Riemann problems in relativistic hydrodynamics.
Research workflow
A bounded manuscript review and revision workflow using native agents in Codex and Claude Code. A research aid, not a substitute for scientific judgment or peer review.