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About this Symposium
Meeting 2020 TMS Annual Meeting & Exhibition
Symposium Frontiers of Materials Award Symposium: Machine Learning and Autonomous Researchers for Materials Discovery and Design
Sponsorship
Organizer(s) Keith A. Brown, Boston University
Scope
Abstracts Due 07/01/2019
Proceedings Plan Undecided
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

Adaptive Machine Learning for Efficient Navigation of Materials Space
Application of Machine Learning and Federated Big Data Storage & Analytics for Accelerated Additive Process and Parameter Development
Autonomous Research Systems for Materials Development
Autonomous Systems for Alloy Design: Towards Robust Closed-loop Alloy Deposition and Characterization
Bayesian Methods for Concrete Creep Prediction and Learning Optimized Concrete Microstructure Design
Closing the Loop in Autonomous Materials Development
Combining Simulation and Autonomous Experimentation for Mechanical Design
Design of Halide Perovskites via Physics-informed Machine-learning
Turning Statistical Mechanics Models into Materials Design Engines
Unraveling Hierarchical Materials using Autonomous Research Systems

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