Symposium MD02-Data-Driven Multiscale Studies of Materials—Computations and Experiments
Multiscale methods have been widely used in material studies, allowing us to gain insights into material behaviors at quantum, atomistic, micro-, meso- and macro-scales. The recent developments in data-driven methods, such as machine learning and artificial intelligence, and their integration with multiscale approaches are creating new research opportunities. Data-driven multiscale studies of materials have shown promising results in developing interatomic potentials for atomistic modeling, designing new materials, discovering new constitutive laws, identifying processing-structure-performance correlations, and analyzing microscopy images, among many others. In this symposium, we will include the new developments of data-driven methods in computational and experimental studies of materials, the data-driven studies crossing different scales, the studies bridging computations and experiments, and the new understandings of material behaviors enabled by the data-driven multiscale methods. This symposium will bring together researchers from a broad spectrum of disciplines with a data- or multiscale-relevant component in their research to exchange research progress and inspire new research ideas.
Topics will include:
- Data-driven design of new materials
- Data-driven characterization of materials
- Data-driven identification of constitutive relations
- Process-structure-performance correlations
- The development of new data-driven methods for material studies
- Machine-learning potentials for atomistic simulations
- Model-order reduction in multiscale computations
- Uncertainty quantifications in multiscale computations
- Scale-bridging methods for material studies
Invited Speakers (tentative):
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Christos Athanasiou
(Georgia Institute of Technology, USA)
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Wei Cai
(Stanford University, USA)
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Ivano E. Castelli
(Technical University of Denmark, Denmark)
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Victor Fung
(Oak Ridge National Laboratory, USA)
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Wei Gao
(Texas A&M University, USA)
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Johann Guilleminot
(Duke University, USA)
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Ozgur Keles
(San Jose State University, USA)
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John Lambros
(University of Illinois at Urbana-Champaign, USA)
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Yen Ting Lin
(Los Alamos National Laboratory, USA)
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Nithin Mathew
(Los Alamos National Laboratory, USA)
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Shyue Ping Ong
(University of California, San Diego, USA)
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Danny Perez
(Los Alamos National Laboratory, USA)
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Brandon Runnels
(University of Colorado Colorado Springs, USA)
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Alejandro Strachan
(Purdue University, USA)
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Aidan Thompson
(Sandia National Laboratories, USA)
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Wenbin Yu
(Purdue University, USA)
Symposium Organizers
Haoran Wang
Utah State University
Department of Mechanical and Aerospace Engineering
USA
Soumendu Bagchi
Los Alamos National Laboratory
Theoretical Division (T-1)
USA
Huck Beng Chew
University of Illinois at Urbana-Champaign
Department of Aerospace Engineering
USA
Jiaxin Zhang
Oak Ridge National Laboratory
Computer Science and Mathematics Division
USA