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Call for abstract: USNC/TAM 2022. Mini-symposium (318) Physics-Based and Data-Driven Multiscale Modeling of Nano-Materials

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Dear Colleagues:

 

We are co-organizing a mini-symposium titled “Physics-Based and Data-Driven Multiscale Modeling of Nano-Materials”, (#318) for the upcoming USNC/TAM 2022, to be held in Austin, Texas, June 19-24, 2022.  

 

We would like to cordially invite you to submit an abstract to our mini-symposium. The symposium welcomes contributions on machine learning and multiscale modeling applied to nano-materials. 

 

The topics of this mini-symposium will include (but are not limited to) the following:

(1) Multi-scale modeling for mechanics and physics of nano-materials that may build upon ab-initio, molecular dynamics, monte carlo, or mesoscale modeling; Phase-Field modeling of nano-materials; Modeling complex electro-chemo-mechanical processes influenced by thermodynamics, kinetics. 

(2) Data analytics for designing nano-materials for various applications including electronic, photovoltaics, fuel cells, thermos-electrics, 2D heterostructures; Metaheuristic optimization of material compositions and atomic structures; 

(3) Modeling for electronic, thermal, and optical properties of nano-materials; the role of defects and deformations; effect of edge energy, edge force, interaction of nano-materials with different substrates. 

(4) Machine learning for materials discovery – usage of recent developments in the fields of data mining, machine learning, and artificial intelligence for the identification of structure-composition-property relationships in the highly diverse and sparse materials database. 

(5) Advances in the integration of machine learning and multi-scale modeling of nano-materials, such as accelerating molecular dynamics or ab-initio simulation using machine learning. 

 

Organizers:

Susanta Ghosh, Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University: susantag[at]mtu.edu, 

Dibakar Dutta, Department of Mechanical and Industrial Engineering, New Jersey Institute of Technology: dibakar.datta[at]njit.edu, 

Ganesh Balasubramanian, Department of Mechanical Engineering & Mechanics, Lehigh University: bganesh[at]lehigh.edu, 

Amartya Banerjee, University of California, Los Angeles, Department of Materials Science and Engineering; asbanerjee[at]g.ucla.edu

Shiva Rudraraju, Department of Mechanical Engineering, University of Wisconsin-Madison: shiva.rudraraju[at]wisc.edu

 

The deadline for abstract submission is January 31, 2022.

http://www.usnctam2022.org/abstract_instructions

When submitting an abstract, please make sure to select Topic " Physics-Based and Data-Driven Multiscale Modeling of Nano-Materials" (#318).

 

USNC/TAM 2022 minisymposia have been posted on the website at 

http://www.usnctam2022.org/congressMS

 

Please feel free to contact any of the organizers for any queries.

 

Best Regards,

S. Ghosh, D. Dutta, G. Balasubramanian, A. Banerjee, S. Rudraraju

 

 

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