Dr. John G. Michopoulos
U.S. Naval Research Laboratory
Presenting in Track 2: Advanced Design and Information Technologies
Presentation Title: Metacomputing for Multiphysics Applications
Abstract: When a multiphysics model is required to be developed and executed for simulation purposes, the advances of analytical, numerical, software and hardware computational technologies have forced its users to manage higher resource complexity while at the same time motivates the modeling of more complex systems than before. Consequently, the time for the user’s iterations within the context space characterizing all choices required for a successful computation far exceeds the time required for the runtime software execution to produce acceptable results. This presentation focuses on utilizing metacomputing to alleviate this issue starting with describing this high-dimensional context space. Then it highlights the abstract process of multiphysics model generation/solution and proposes performing top-down and bottom-up metacomputing. In the top-down approach, metacomputing is used for automating the process of generating theories; raising the semantic dimensionality of these theories in higher dimensional algebraic systems that enable simplification of the equational representation, and raising the syntactic dimensionality of equational representation from 1-D equational forms to 2-D and 3-D algebraic solution graphs that reduce solving to path-following. In the bottom-up approach, already existing legacy codes evolving over multiple decades are encapsulated at the bottom layer of a multilayer semantic framework that utilizes Category Theory based operations on specifications to enable the user to spend time only for defining the physics of the relevant problem and not have to deal with the rest of the details involved in deploying and executing the solution of the problem at hand. Consequently, these two metacomputing approaches enable the automated generation, composition, deployment, and execution of directly computable multiphysics models.
Biography: As a Principal Scientist of Materials Innovation in the Materials Science and Technology Division and as the head of Computational Multiphysics Systems Lab (CMSL), of the Center for Material Physics and Technology at the US Naval Research Laboratory (US-NRL), Dr. Michopoulos executes and oversees multi-physics modeling and simulation efforts and computational sciences research and development, operations and initiatives at US-NRL. Some of his major initiatives include research and development on linking material performance to material processing via data and specification driven methodologies, additive and hybrid manufacturing process and material modeling, mechatronic/robotic data-driven characterization of continua, multiphysics design optimization and meta-computing. He is a member of the editorial board of several scientific journals and is member of the program committee of several international conferences and has chaired several of them. He has served in the executive committee of the Computers and Information in engineering division of the ASME. He is Fellow of ASME and his technical work and leadership have been recognized by several national and international honors, including the 2015 Excellence in Research award and the 2022 Lifetime Achievement award by ASME's CIE division, the 2015 Innovator Award by Wolfram Inc., and the 2013 "P.S. Theocaris" award for excellence by the National Academy of Athens. He has authored and co-authored more than 380 publications and patents. Dr. Michopoulos holds a Diploma/M.Sc. in Civil Engineering and a Ph.D. in Applied Mathematics and Mechanics from the National Technical University of Athens and has pursued post-doctoral studies at Lehigh University on computational multi-field modeling of continua and Fracture Mechanics.