TheoSea: Marching Theory to Light
Mark A. Stalzer, Chao Ju
TL;DR
TheoSea is a Julia program that rapidly derives Maxwell's equations and light wave equations from far-field data, demonstrating that theory compactness guides scientific discovery.
Contribution
It introduces a computational tool that automates the derivation of fundamental electromagnetic theories from observational data.
Findings
Derives Maxwell's equations from far-field data in about a second
Shows the importance of theory compactness in scientific discovery
Validates the scientific method through automated theory derivation
Abstract
There is sufficient information in the far-field of a radiating dipole antenna to rediscover the Maxwell Equations and the wave equations of light, including the speed of light TheoSea is a Julia program that does this in about a second, and the key insight is that the compactness of theories drives the search. The program is a computational embodiment of the scientific method: observation, consideration of candidate theories, and validation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications · Distributed and Parallel Computing Systems · Reservoir Engineering and Simulation Methods
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings