User login


You are here

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

susanta's picture


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. 



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

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

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

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

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


The deadline for abstract submission is January 31, 2022.

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


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


Best Regards,

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



PDF icon USNCTAM2022.pdf25.85 KB
Subscribe to Comments for "Call for abstract: USNC/TAM 2022. Mini-symposium (318) Physics-Based and Data-Driven Multiscale Modeling of Nano-Materials"

More comments


Subscribe to Syndicate