EML Webinar (Season 2) on 11 May 2021 will be given by Michael Sheetz, University of Texas Medical Branch. Mechanical Stresses Kill Tumor Cells Discussion Leaders: Taher Saif, University of Illinois at Urbana-Champaign and Guy Genin, Washington University, St Louis
Time: 10 am Boston, 3 pm London, 10 pm Beijing on 12 May 2021
Zoom Link: https://ter.ps/EMLWebinarS2
Jiao, S., & Liu, M.* (2021). Snap-through in Graphene Nanochannels: With Application to Fluidic Control. ACS Appl. Mater. Interfaces, 13, 1158–1168.
Liu, M., Gomez, M., & Vella, D.* (2021). Delayed bifurcation in elastic snap-through instabilities. J Mech. Phys. Solids, 151, 104386.
Mutian Hua, Shuwang Wu, Ximin He
Bioinspired Soft Materials Group
University of California, Los Angeles
Introduction
We recently proposed a method that uses distance fields to exactly impose boundary conditions in physics-informed neural networks (PINN). This contribution is available as an arXiv preprint.
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).
Abstarct
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.
On April 27th we will present a webinar hosted by our partner @Altair where we will share efficient high-fidelity design and optimization of composite blades using VABS. Register now at https://bit.ly/3gnQJAN
Electron beam melting (EBM) is a metal powder bed fusion additive manufacturing (AM) technology that is widely used for making three-dimensional (3D) objects by adding materials layer by layer. EBM is a very complex thermal process which involves several physical phenomena such as moving heat source, material state change, and material deposition. Conventionally, these phenomena are implemented using in-house codes or embedding some user subroutines in commonly used commercial software packages, like Abaqus, which generally requires considerable expertise.
