Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT-CSET 2021)

An IACM Conference

September 26-29, 2021 – Hyatt Regency Mission Bay, San Diego, USA




Machine Learning (ML) and Digital Twins (DT) are at the heart of today’s industry, ranking from advanced manufacturing, 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 MMLDT-CSET 2021 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.



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.


Topics of Interest

Track 1: Multiscale Materials and Engineered Systems

Track 2: Multi-Modal Generation of Big Data for Machine Learning

Track 3: Scientific and Engineering Digital Twins

Track 4: Advanced Manufacturing and Design Optimization

Track 5: Biomedical Systems, Medical Devices, and Mechanistic Machine Learning Enhanced Diagnostics

Track 6: Reduced-order Modeling for Fluids, Solids, and Structures

Track 7: Injection of Mechanistic Machine Learning on Co-Design in High-Performance Computing

Track 8: Geosystem, Geostatistics, and Petroleum Engineering

Track 9: Data Centric Earthquake Engineering and Performance-based Design

Track 10: Infrastructure and Cyberinfrastructure Systems

Track 11: Technology Transfer for Innovative Scientific and Engineering Applications

Track 12: Mechanistic Machine Learning for the Ecosystem: Environment, Smart City, and Healthcare

Track 13: Education, Outreach, and Funding Opportunities


Important Dates

  • September 16 – November 30, 2020, Mini-symposium Proposal submission (open on September 16, 2020,
  • December 16, 2020 – March 15, 2021, Abstract Submission
  • March 16 – May 15, 2021, Early Registration
  • May 16 – July 15, 2021, Registration
  • September 26 – 29, 2021, Conference





Organizing Universities

UC San Diego, Northwestern University, Stanford University, Brown University, Columbia University, and Arts et Métiers Institute of Technology of France