ML in Physics Seminar

Machine Learning in Physics

A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.

Register for the Seminar Listserv

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Up Next: TBD

Please note that Mia Liu's planned 5/8 seminar has been canceled. No more seminars are scheduled at this time. Please check this page or subscribe to our listserv for updates. 

Spring 2024 Calendar

4:30 pm5:30 pm
David Pfau: Computing Quantum Excited States with Deep Neural Networks
Location
Jadwin Hall A10

Excited states of quantum systems are relevant for photochemistry, quantum dots, semiconductors and more, but remain extremely challenging to calculate by conventional computational methods. In recent years tools from machine learning have found useful application in computational quantum mechanics, especially in making ground state…

4:30 pm5:30 pm
Joshua Shaevitz: Supervised and unsupervised algorithms for measuring animal behavior

Abstract: For the past decade, my group has worked on supervised and unsupervised algorithms that take video data of behaving animals as inputs and discover stereotyped dynamics in the motion of body parts. We have used these techniques to study the patterns of behavior over an animal’s lifespan, how the brain specifies which…

Spring 2024 Speakers

Miaoyuan Liu
Purdue University
David Pfau
Google DeepMind
Josh Shaevitz
Princeton University

Sponsors

Boris Hanin

Boris Hanin
Assistant Professor, Princeton ORFE
Research Homepage

Dan Marlow

Dan Marlow
Evans Crawford 1911 Professor of Physics
Research Homepage

Mariangela Lisanti

Mariangela Lisanti
Associate Professor, Princeton Physics
Research Homepage

Peter Elmer

Peter Elmer
Senior Research Physicist, Princeton Physics
Research Homepage