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Virtual LANS Seminar
August 4, 2021 @ 10:30 - 11:30 CDT
Seminar Title: Artificial Intelligence for Engineering Design and Computational Mechanics
Speaker: Ramin Bostanabad
Title: Assistant Professor, Mechanical and Aerospace Engineering, University of California, Irvine
Date/Time: August 4, 2021 / 10:30 AM – 11:30 AM
Location: See meeting URL on the cels-seminars website (requires Argonne login)
Description: Engineered systems are an indispensable part of our modern life with far-reaching applications that include aerial and ground transportation, electronics, large-scale structures, and medicine. The ever-evolving societal, environmental, and cultural awareness calls for significantly complex systems with unprecedented properties that reliably meet stakeholders’ demands under extreme conditions. To accelerate the design and deployment of such systems while reducing the reliance on costly and time-consuming experiments, it is necessary to develop advanced computational methods that streamline their design and analysis process. In this talk, I will present some of our recent works for solving challenging problems in engineering design, solid mechanics, and fluid dynamics. In particular, I will demonstrate how we can (1) drastically accelerate multiscale simulations of cast alloys via mechanistic reduced order models, (2) surrogate plastic and history-dependent deformation of fiber composites with deep learning, (3) optimize material composition with latent map Gaussian processes and Bayesian optimization, and (4) solve partial differential equations such as the Navier-Stokes equations with transfer learning.
Bio: Dr. Ramin Bostanabad joined the Department of Mechanical and Aerospace Engineering at UCI in September 2019 and founded the Probabilistic Modeling and Analysis of Complex Systems (PMACS) laboratory. He is the recipient of the 2021 NASA Early Career Award and has earned his Ph.D. in 2019 from Northwestern University where his research was recognized with a number of awards including Terminal Year Fellowship, Martin Outstanding doctoral Fellowship, Predictive Science and Engineering Design Fellowship, and Walter P. Murphy Fellowship. At PMACS lab, Dr. Bostanabad’s group develops computational framework and tools for analyzing and designing complex systems such as multiscale materials. These contributions have been so far supported by NASA, NSF, ARPA-E, and Advanced Casting Research Center and are at the interface of computational statistics, scientific machine learning, and computational mechanics. Recent applications have been on data-driven microstructure characterization, multi-scale materials modeling with deep learning and random processes, inverse system identification with evolutionary programming, and assimilation of multiple data sources with Bayesian statistics.
Please note that the meeting URL for this event can be seen on the cels-seminars website, which requires an Argonne login.