Gravitational waveform modeling with physics informed neural networks and surrogates
Cornell University
Check the official event for registration, eligibility and attendance details.
Abstract
This seminar discusses a proof-of-concept gravitational-waveform model described in arXiv:2511.10522. It augments post-Newtonian equations using physics-informed neural-network methods and universal differential equations. The talk also covers ongoing development of a precessing surrogate model designed to evaluate in less than one millisecond while covering a broader portion of the LVK frequency band.
Keep track of Astrophysics
Remember this field on this device and see what changed when you return. Your saved items stay in your library.
The calendar subscription updates upcoming seminars automatically. Add the feed by URL in your calendar; a one-off import will not update. Attendance conditions remain those of the organiser.
Related Seminars
Unveiling a fast (and furious) early universe with JWST
More in Astrophysics
SQI Seminar Series: Tal Linzen, NYU
More in Machine Learning
Kirk Public Lecture | An operator-algebraic perspective on topological orders
More in Mathematical Modeling