"Order Parameter Engineering for Random Systems" published in High Entropy Alloys and Materials

Abstract:

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 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:

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.

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.

We are looking for a postdoctoral associate to join our vibrant research group in the Computational Nanodynamics Laboratory led by Prof. Sinan Keten at Northwestern University, Evanston, IL, USA. Our research group aims to establish computational tools to understand the mechanical behavior of polymeric and biomolecular materials.

The Gordon Research Conference on the Science of Adhesion is this summer (23-28 July 2023).  The meeting will be held on the campus of Mount Holyoke College in western Massachusetts and will have more than 20 invited talks from world leaders in the fields of adhesion, soft matter, and materials. This is a great meeting for students and early career researchers to get connected to the community. Poster presentations are strongly encouraged from all participants, and poster abstracts can still be submitted.

Two postdoctoral researcher positions and one Ph.D. position are available in the Multiphase Fluid-Structure Interaction Lab in Tsinghua Shenzhen International Graduate School. The postdoc will assist the PI (Prof. Shunxiang Cao) in tasks associated with the high-performance simulations of multiphase fluid-structure interaction (FSI) problems, including bubbly flow modeling, development of efficient fluid-structure coupling algorithms, development of high-performance fluid-structure coupled solver, and reinforcement-learning-based control of FSI. 

Two postdoctoral researcher positions and one Ph.D. position are available in the Multiphase Fluid-Structure Interaction Lab in Tsinghua Shenzhen International Graduate School. The postdoc will assist the PI (Prof. Shunxiang Cao) in tasks associated with the high-performance simulations of multiphase fluid-structure interaction (FSI) problems, including bubbly flow modeling, development of efficient fluid-structure coupling algorithms, development of high-performance fluid-structure coupled solver, and reinforcement-learning-based control of FSI.