Dear Colleagues,
We cordially invite you to present your work at our symposium titled "Theoretical and Computational Advances in Modeling Materials Across Scales", as part of the 2025 Society of Engineering Science Annual Meeting (SES 2025). The meeting will be held on October 12-15, 2025 in Atlanta,GA. The symposium is listed as Symposium 3.4 under the Machine Learning and Multiscale Simulations thematic area on the submission website.
https://sites.gatech.edu/2025ses/tracks/track-3/3-4/
To submit an abstract, please visit: https://sites.gatech.edu/2025ses/abstract-submission/
The deadline for abstract submission is May 31, 2025. Further details on the conference and abstract submission can be found at the conference website: https://sites.gatech.edu/2025ses/
Please feel free to contact us for any questions or concerns. A description of the scope of our symposium is as follows:
Theoretical and Computational Advances in Modeling Materials Across Scales
Multiscale modeling of materials has attracted researchers’ attention due to their critical role in determining the behavior of materials. This symposium seeks to bring together researchers working on novel areas of modeling and simulation of materials across scales — from the nano- to the micro-scales. The contributions welcomed in this symposium focus on modeling and simulation of nano- meso- and micro-mechanics of materials, including but not limited to atomistic simulations (such as those performed with atomistic potentials, molecular dynamics), electronic structure calculations (such as density functional theory), micro-mechanics models (such as phase field, dislocation dynamics, crystal plasticity), statistical mechanics, and the combination of these models with novel approaches such as multiscale and multiphysics modeling, Artificial Intelligence, Machine Learning and data-driven approaches. Research results on the fundamental understanding of response of materials to magnetic or electric fields, temperature and light, deformation mechanisms in materials, actuation of materials, novel computational approaches, numerical implementations aspects, and application of established computational frameworks are welcome. Applications of such methods to a wide range of materials are also welcome, including crystalline (metals and alloys), amorphous (glassy), and soft materials (such as polymers and liquid crystal elastomers).
We look forward to seeing you at SES 2025!
Sincerely,
Swarnava Ghosh, Oak Ridge National Laboratory
Phanish Suryanarayana, Georgia Institute of Technology
Juan Pedro Mendez Granado, Sandia National Laboratory
Mauricio Ponga, The University of British Columbia
Nikhil Chandra Admal, University of Illinois Urbana Champaign