Hidden Convexity: a computational approach
See Uditnarayan Kouskiya's blog:
Article: Interaction of two cylinders immersed in a viscous fluid. On the effect of moderate Keulegan–Carpenter numbers on the fluid forces
This work deals with the hydrodynamic interaction of two parallel circular cylinders, with identical radii, immersed in a viscous fluid initially at rest. One cylinder is stationary while the other one is imposed a harmonic motion with a moderate amplitude of vibration. The direction of motion is parallel to the line joining the centers of the two cylinders. The two dimensional fluid–structure problem is numerically solved by the Arbitrary Lagrangian–Eulerian method implemented in the open-source CFD code TrioCFD.
Postdoc position available in x-ray characterization of geomaterials at Johns Hopkins University
A postdoctoral researcher position is available beginning July 1, 2023 in Professor Ryan Hurley’s laboratory (http://hurley.me.jhu.edu) in the Department of Mechanical Engineering and the Hopkins Extreme Materials Institute at the Johns Hopkins University.
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: