MIT Subject Listing & Schedule
Fall 2021 Search Results

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1 subject found.

2.161 Physical Systems Modeling and Design Using Machine Learning

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(Subject meets with 2.169)
Prereq: 2.086; Coreq: 6.402
Units: 1-3-2
Credit cannot also be received for 1.024, 1.224, 2.169, 3.100, 3.322, 10.402, 10.602, 20.301, 20.401, 22.042, 22.42

Building on core material in 6.402, encourages open-ended exploration of the increasingly topical intersection between artificial intelligence and the physical sciences. Uses energy and information, and their respective optimality conditions, to define supervised and unsupervised learning algorithms as well as ordinary and partial differential equations. Subsequently, physical systems with complex constitutive relationships are drawn from elasticity, biophysics, fluid mechanics, hydrodynamics, acoustics, and electromagnetics to illustrate how machine learning-inspired optimization can approximate solutions to forward and inverse problems in these domains. Students taking graduate version complete additional assignments. Students cannot receive credit without simultaneous completion of 6.402.
G. Barbastathis