Prof. Xuanhe Zhao of MIT Joins Extreme Mechanics Letters as Co-Editor-in-Chief
Extreme Mechanics Letters (EML) is thrilled to announce the appointment of Professor Xuanhe Zhao of the Massachusetts Institute of Technology (MIT) as Co-Editor-in-Chief of EML. Professor Zhao is a world-renowned expert in the mechanics of materials and soft robotics.
An asymptotic model of vibroadhesion
A compliantly fixed hemispherical indenter in adhesive contact with an elastic sample firmly bonded to a rigid base is considered under the assumption that the rigid base undergoes small-amplitude high-frequency normal (vertical) oscillations. A general law of the rate-dependent JKR-type adhesion is assumed, which relates the work of adhesion to the contact front velocity. Using the Bogoliubov averaging approach in combination with the method of harmonic balance, the leading-order asymptotic model is constructed for steady-state vibrations.
Deadline for EuroSuperalloys approaching fast!
Dear members of the iMechanica community,
The deadline for abstract submission for the
EuroSuperalloys - THE symposium for all things superalloy,
including modeling, DFT, atomistic simulations and machine learning approaches for
superalloys and metallic or intermetallic materials beyond superalloys -
is approaching fast: 31. March 25
For more information, see:
https://eurosuperalloys.sciencesconf.org/?lang=en
Looking forward to your contributions!
Erik
Postdoc in physics-informed neural networks for solid mechanics
Are you passionate about solid mechanics and intrigued by machine learning? We are seeking a qualified candidate who can merge expertise from both fields to develop innovative tools for analyzing deformation and fracture in solid materials.
Expected start date and duration of employment
This is a 1-year position starting on 15 August 2025 or as soon possible thereafter.
Simulation-Driven Insights into Molten Metal Oscillations in Fusion-Based Manufacturing
Fusion-based manufacturing techniques, such as laser welding and additive manufacturing, are revolutionising how we produce complex components across industries. Yet, one critical challenge persists: how do we reliably control and predict melt-pool behaviour to ensure high-quality outcomes? This question was at the heart of my PhD research, completed at Delft University of Technology in the Netherlands.
Integration of multiscale simulations and machine learning for predicting dendritic microstructures in solidification of alloys
I am pleased to share our newest open-access article just published in #ActaMaterialia.
Postdoctoral fellowship in the area of crystal plasticity finite element modeling
Applications are invited for a 2-year postdoc fellowship in the area of crystal plasticity finite element modeling of polycrystals. This position is a full-time position at the University of Western Ontario, Canada, and the selected applicant can start from September 2025. In addition, this position is extendable for another year, depending on the availability of funds and the applicant’s performance.
Ph.D. Position in Computational Materials Science for Battery Research at Harbin Institute of Technology, Shenzhen (HITsz)
Position Overview
We invite applications for one Ph.D. position starting in September 2025, focusing on computational modeling of battery materials using at least one of the following methods: first-principles calculations (DFT), molecular dynamics (MD), and phase-field modeling. The research will target critical challenges in:
1. Novel materials discovery for All-Solid-State Lithium Batteries and Solid Oxide Fuel Cells (SOFCs) using calculations;