Thursday, June 9, 2016
10:00 am
Powell-Booth 100 (Seminar Room) – Powell-Booth Laboratory for Computational Science

CD3 Seminar

Computational Rediscovery of Some Classical Force Laws
Mark Stalzer, Principal Computational Scientist, CD3, Caltech

Abstract:
The goal of this work is to computationally rediscover the Maxwell
Equations based on data from virtual experiments. As a step in this
direction, recent work has focused on rediscovering a general force law
composed of Newton¹s Universal Law of Gravitation, Coulomb¹s Law, and the
force generated by a magnetic dipole. The basic approach is essentially a
combinatorial optimization over a language that adapts as new partial
theories are discovered: essentially finding linguistic patterns in
theories. Some promising initial results are presented, and future plans
sketched.

Short Bio:
Dr. Mark Stalzer is a Principal Computational Scientist in the Center for
Data-Driven Discovery at the California Institute of Technology. He led
two high-profile research labs in computing/information sciences at Hughes
(1999-2004) and then Caltech (2005-2013). Mark was the Fellow of Data
Science at the Moore Foundation (2013-2015) where he was a senior advisor
to their Data-Driven Discovery initiative. He is trained in physics and
computer science, receiving his PhD from USC in 1993. Mark is an ACM
Distinguished Scientist and an AAAS Fellow.

Contact Tracy Sheffer tracy@cd3.caltech.edu at 4116
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