Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology
An IACM Conference
September 26-29, 2021 - Hyatt Regency Mission Bay, San Diego, CA
Objectives
Machine Learning (ML) and Digital Twins (DT) are at the heart of today’s different industries, ranging from advanced manufacturing to biomedical systems to resilient ecosystems, civil infrastructures, smart cities, and healthcare. They have become indispensable for solving complex problems in science, engineering, and technology development. The purpose of the MMLDT-CSET 2021 conference is to facilitate the transition of ML and DT from fundamental research to mainstream fields and technologies through advanced data science, mechanistic methods, and computational technologies. This 3-day conference features technical tracks of emerging ML-DT fields and applications, special public lectures, short courses, and demonstrations.
Vision
The goal of this MMLDT-CSET Conference is to bring together the diverse communities that are interested in learning, developing, and applying mechanistic machine learning and digital twins via computational science and engineering tools to a broad range of engineering and scientific problems, and to promote collaborations between engineers, data and computer scientists, and mathematicians from federal agencies, academia, and industry in this field.
Conference Topics
Track 1: Multiscale Materials and Engineered Systems
Track 2: Scientific and Engineering Digital Twins
Track 3: Biomedical Systems, Medical Devices, and Mechanistic ML Enhanced Diagnostics
Track 4: Reduced-order Modeling for Fluids, Solids, and Structures
Track 5: Geosystem, Geostatistics, and Petroleum Engineering
Track 6: Infrastructure and Cyberinfrastructure Systems
Track 7: Technology Transfer for Innovative Scientific and Engineering Applications
Track 8: Panel for Education, Outreach, and Funding Opportunities
Important Dates
September 16, 2020 – December 31, 2020: Mini-symposium Proposal submission, click here
February 1 – March 31, 2021: Abstract Submission
April 1 – May 15, 2021: Early Registration
May 16 – July 15, 2021: Registration
September 26 - 29, 2021: Conference
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