Disrupting Density-Dependent Property Scaling in Hierarchically Architected Foams
Dear Colleagues,
I invite you to read our latest paper published in ACS Nano: https://pubs.acs.org/doi/10.1021/acsnano.3c01223
Postdoc Opening at the PSAAP Multidisciplinary Simulation Center, CU Boulder
We are currently looking for a Postdoctoral Research Associate. The position can start immediately but US citizenship is preferred.
Discussion of fracture paper #37 - A Novel Approach Improving Mode I+III Cohesive Zone Modelling
The advantage of simplicity is that mechanics and physics can be understood and predicted just by using pen and paper. In the end, numerics may have to be used but then you should already have a pretty good idea of what happens. The other way around, starting with numerics and a limited toolbox of models will seldom lead to anything new.
Ph.D. Position at NJIT, New Jersey in Computational Nanomechanics/Materials
The Department of Mechanical and Industrial Engineering (http://mie.njit.edu) at the New Jersey Institute of Technology (http://www.njit.edu) has an opening for a fully funded Ph.D. position. The position will start in Fall 2023/Spring 2024. Interested candidates should apply as soon as possible. Email: dibakar.datta [at] njit.edu
Order Parameter Engineering for Random Systems
"Order Parameter Engineering for Random Systems" published in High Entropy Alloys and Materials
Abstract:
Uncovering stress fields and defects distributions in graphene using deep neural networks
In our latest article, “Uncovering stress fields and defects distributions in graphene using deep neural networks”: https://doi.org/10.1007/s10704-023-00704-z , we showed that conditional generative adversarial networks (cGANs) could transform complex deformation fields into stress fields by eliminating the need to evaluate elasticity distributions and develop complex nonlinear constitutive relations.
Two Funded Ph.D. Positions at the University at Buffalo: Scientific Machine Learning and Predictive Modeling in Materials and Tumor Growth
Two fully supported Ph.D. positions are open in Predictive Computational Engineering (PCE) Research Lab at the University at Buffalo for research in advanced computational modeling and algorithms, scientific machine learning, and uncertainty quantification.
Research Areas:
Position 1: Image-Guided Personalized Radiotherapy Optimization for Tumor Growth
Position 2: Integrated Physics-Based and Machine Learning Models for Material Design
Requirements:
Prof. Huajian Gao elected FRS
Eighty outstanding researchers, innovators and communicators from around the world have been elected as the newest Fellows of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.
PhD position in Mechanics of Solids at University of Parma (ITALY)
There is 1 fully-funded Ph.D. studentship (3-year bursary) available for a 1st November 2023 start.
A description of the research programme is given in the enclosed pdf.
Preferred applicants should hold a degree in Engineering with a major in Solid and Structural Mechanics.
The call for applicants will appear at this link (call opening on 15th June 2023).
Before applying, interested applicants should send a CV to Prof. Spagnoli
Post-doc Groningen / Atomistic Modelling Hydrogen Embrittlement in Steels
For the DeHy project awarded by the Dutch Research Council (NWO) on hydrogen embrittlement of steels, a post-doc position for the period of one year is available. In this project, University of Groningen and the University of Cambridge, in collaboration with TU Delft, are partnering to unravel the fundamental origin of hydrogen embrittlement by a multi-scale modelling approach.