Mapping Machine-Learned Physics into a Human-Readable Space
Pregeometry, Formal Language and Constructivist Foundations of Physics
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
Tanaka, H., Gallo, G., Gluyas, J., Kamoshida, O., Lo Presti, D., Shimizu, T., ... & Yokota, Y. First Navigation With Wireless Muometric Navigation System (MuWNS) in Indoor and Underground Environments. Available at SSRN 4180806.
Advances in apparent conceptual physics reasoning in GPT-4
Enabling Scalable AI Computational Lithography with Physics-Inspired Models | Research
Enabling_Scalable_AI_Computational_Lithography_with_Physics-Inspired_Models.pdf
Reversal of nanomagnets by propagating magnons in ferrimagnetic yttrium iron garnet enabling nonvolatile magnon memory - Nature Communications