Blog posts
Post-doctoral position in machine learning approaches for CFD
Please find our new post-doc opening in the http://www.legato-team.eu
Write to Dr Anina GLUMAC <anina . glumac @ uni.lu> to apply.
Check the group out here:
Curvature tunes wrinkling in shells
Transverse wrinkles usually emerge in a uniaxially stretched elastic film and can be suppressed upon further tension, which is an instability-restabilization behavior due to the nonlinear competition between stretching energy and bending energy. Here, we show that curvature can effectively and precisely tune the wrinkling localization and amplitude.
LAMMPS tutorials on the simulations of shock wave propagation and ballistic impact
We are currently investigating the shock response of materials using molecular dynamics (MD). This project showed us that the preparation of properly equilibrated MD models can be very challenging even for someone with a strong background in molecular modeling. Therefore, we thought of sharing some of our recent MD models with the research community. We would like to share the LAMMPS input and data files required to run MD simulation of shock wave propagation and ballistic impacts. The two MD models are shown above.
Multi-physics modeling and finite element formulation of corneal UV cross-linking
The UV cross-linking technique applied to the cornea is a popular and effective therapy for eye diseases such as keratoconus and ectatic disorders. The treatment strengthens the cornea by forming new cross-links via photochemical reactions and, in turn, prevents the disease from further developing.
1 PhD position in Real time brain-perfusion simulation for Acute Ischemic Stroke using machine learning-based reduced order modelling
Objective: the objective of this doctoral position is to develop a real-time model of brain perfusion, by coupling a 1D-FSI model of blood flow with a 3D brain model of brain perfusion. Acceleration of the computation will be carried out using machine learning based reduced order modelling, leveraging from current work carried out at by the supervisors at CIS. Once available, the model will be coupled with additional models to provide a decision support tool for Acute Ischemic Stroke treatment.
Postdoctoral Position at UCLA in mechanics/machine learning/computational science
We are looking for a postdoctoral fellow with a background in solid mechanics, machine learning, computational science, or relevant fields to work at the intersection of mechanics, machine learning (ML), and/or manufacturing. If the candidate has no proven record in ML, he/she should have the confidence and a track record to quickly master analytical and software tools in new fields. The postdoctoral fellow will work in an interdisciplinary and collaborative environment. He/she will be supervised by Prof. M.
MD simulations of shock propagation and spallation in polymers
Our article on MD simulations of shock propagation and spallation in polymers has been published in the Journal of Applied Mechanics.
MIT Short Course Live Virtual: Predictive Multiscale Materials Design: 21-25, 2021
TL;DR, MIT Short Course, Live Virtual June 21-25, 2021; a hands-on bootcamp on multiscale mechanics, ML/AI, additive methods, biomaterials and bio-inspired materials and design. Registration closing soon - sign up now!
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