Blog posts
Universality in Anisotropic Linear Anelasticity
In linear elasticity, universal displacements for a given symmetry class are those displacements that can be maintained by only applying boundary tractions (no body forces) and for arbitrary elastic constants in the symmetry class. In a previous work, we showed that the larger the symmetry group, the larger the space of universal displacements. Here, we generalize these ideas to the case of anelasticity. In linear anelasticity, the total strain is additively decomposed into elastic strain and anelastic strain, often referred to as an eigenstrain.
PhD position Computational Modeling of blood flow and position to asses measurements of non-invasive devices- CEA - Mines Saint Étienne (France)
The LS2P laboratory (from its French name, Laboratoire des Systèmes Portés par la Personne ) develops non-invasive devices for measuring physiological parameters such as heart rate, oxygen saturation or blood pressure. A strong integration is a key factor from the design stage of the sensors. This allows them to be integrated into bracelets, patches or headbands to make them compatible with their daily use.
Paper: Stability of steady frictional sliding at an interface between two elastic layers
Authors: Avinash Gupta and Kunnath Ranjith
Abstract:
Call for Nominations for Spirit of St. Louis Medal
You are encouraged to nominate your distinguished colleague for the prestigious Spirit of St. Louis Medal awarded for meritorious service in the advancement of aeronautics and astronautics. More details of the award and list of past recipients can be found at https://lnkd.in/gV8VWhda. Please note the new nomination deadline: September 1st.
Drug repurposing for SARS-CoV-2: a high-throughput molecular docking, molecular dynamics, machine learning, and DFT study
Very excited to share newly minted #SARSCoV2 paper from Dr. Dibakar Datta's Lab at New Jersey Institute of Technology in Springer Nature Digital's
Fully Funded (Open to International Students/Fall 2022) PhD in Engineering at Glasgow : Machine Learning for Digital Manufacturing
The James Watt School of Engineering of the University of Glasgow is seeking a highly motivated graduate to undertake an exciting 3.5-year PhD project titled ‘Machine Learning for Digital Manufacturing’ within the Systems, Power and Energy Division.
Fully Funded (Open to International Students/Fall 2022) PhD in Engineering at Glasgow: Data-Driven Digital Twins for Smart Manufacturing
The James Watt School of Engineering of the University of Glasgow is seeking a highly motivated graduate to undertake an exciting 3.5-year PhD project titled ‘Data-Driven Digital Twins for Smart Manufacturing’ within the Systems, Power and Energy Division.
PhD opening in computational fluid dynamics at University of Technology Sydney, Australia
The project “Improving pollutants dispersion in street canyons for better urban living” is calling for applications for PhD scholarship commencing in 2022/23. This project is funded by the Australian Research Council Discovery Early Career Researcher Award. Candidates with knowledge and research experience in CFD modelling, vehicle emissions and air quality are encouraged to apply.
Project description: