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Meeting 2020 TMS Annual Meeting & Exhibition
Symposium Expanding the Boundaries of Materials Science: Unconventional Collaborations
Presentation Title Integrating Experiment, Data, and Computations to Accelerate the Design of Materials
Author(s) Peter W. Voorhees, Greg Olson, Juan DePablo
On-Site Speaker (Planned) Peter W. Voorhees
Abstract Scope The classical method for designing materials to achieve certain performance goals involves a laborious procedure wherein intuition drives the design of a material that is then created, and tested. In most cases, the performance goals are not achieved, and this costly procedure is repeated. By integrating data, computations, and artificial intelligence it is possible to break this expensive cycle and bring innovative new materials to the marketplace faster and at a lesser expense. The Center for Hierarchical Materials Design (CHiMaD) is focusing on developing the next generation of computational tools, databases, and experimental techniques in order to enable the accelerated design of novel materials and their integration into industry. Illustrations of the power of this enhanced materials design strategy will be provided through examples of the design of materials from cobalt superalloys to 2D-material heterostructures.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Accelerating Materials Design Through Community, Open Data and Collaboration
Additive Manufacturing for Novel Thermal Devices
Convergence: Supporting Multidisciplinary Research at the National Science Foundation
Creating the Next-Generation Materials Genome Initiative Workforce
Innovation in Materials Research Collaborations: DOE Basic Energy Sciences
Integrating Experiment, Data, and Computations to Accelerate the Design of Materials
Machine Learning for Materials Design and Discovery
Mechanical Properties of Molecular Crystals--Connecting with Chemistry
Regularization of Materials Failure Data for Damage Mechanism Categorization by Machine Learning

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