Our presentations at the School on Advanced Topics in Computational Mechanics (part of the UK Association of Computational Mechanics 2021 Conference) are now available on the MoFEM YouTube channel (link).
1. Introduction (Lukasz Kaczmarczyk): Sustainable development of research code for complex engineering problems video link
Dear iMechanica colleagues, I am pleased to share with you our newest paper on qauntitative prediction of rapid solidification. S. Kavousi, B. Novak, D. Moldovan, and M. Asle Zaeem. Quantitative prediction of rapid solidification by integrated atomistic and phase-field modeling. Acta Materialia 211 (2021) 116885 (12 pages).
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Our team led by Professor Tomasz Wierzbicki at MIT Mechanical Engineering is looking for a highly motivated Postdoctoral Associate in the area of machine learning for solid-state batteries. The candidate is expected to develop machine-learning-based computational tools for the characterization of the interfacial failure in Li-metal all-solid-state batteries. Candidates who have experience in physics-informed machine learning, computational and solid mechanics, multiphysics modeling, and all-solid-state batteries are encouraged to apply by sending a CV to Dr.
Dear colleagues,
We invite you to see the preprint of our new paper "Nonlinear statistical mechanics drives intrinsic electrostriction and volumetric torque in polymer networks" that will appear in Physical Review E. Here we use a nonlinear statistical mechanics approach to the electroelasticity of dielectric polymer chains and obtain a two-way coupling between chain deformation and dielectric response. This two-way coupling leads to electrically induced stresses and volumetric torques within an elastomer network which can be leveraged to develop higher efficiency soft actuators, electroactive materials, and novel electromechanical mechanisms. (https://doi.org/10.1103/PhysRevE.103.042504).
The Engineering Mechanics Institute of ASCE, is pleased to announce the winners of several 2021 prestigious mechanics awards.
See details here.
The presentation of the award will take place during the Award Ceremony of the EMI PMC 2021 Conference to be held as a virtual event on May 25-28.
It gives me great pleasure to announce the outcome of the 2020 competition for the Eshelby Mechanics Award for Young Faculty. This award is given annually to rapidly emerging junior faculty who exemplify the creative use and development of mechanics. The intent of the award is to promote the field of mechanics, especially among young researchers. The selection committee consisted of: K. Ravi-chandar (UT Austin), Huajian Gao (Brown University), G.
A postdoctoral associate position is available at University of Texas at San Antonio (UTSA) with Prof. Wei Gao, starting 9/1/2021. The candidate is expected to have a strong background in materials modeling, with at least one of the following skills: density functional theory, molecular dynamics, phase field method and machine learning. The research project will focus broadly on studying the phase transformation and related mechanical behavior in structural and functional materials.
