Dera iMechanica Community,

Below is information about a short course I will be offering at MIT this summer, in Live Virtual format: Machine Learning for Materials Informatics (Jul 29 - Aug 2, 2024).  This is an exciting opportunity that will cover fundamentals and applications in the emerging space of AI/ML for engineering, featuring hands-on interactive code development in Jupyter notebooks. We'll do a deep dive into all critical tools from autoencoders to graph neural nets to multimodal LLMs and multi-agent modeling. Please reach out to me if you have any questions.

Dear colleague

Dear colleagues, our new article (open access) is just published in Acta Materialia. In this research, we provide new insights into the mechanism of ferroelastic deformation by studying the evolution of domains in different microstructure patterns and under different loading directions and strain rates.

A. Bhattacharya and M. Asle Zaeem. A phase-field model for study of ferroelastic deformation behavior in yttria stabilized zirconia. Acta Materialia (2024) 120039.

We are looking for an enthusiastic student with a MSc degree to conduct research in the area of Machine Learning and finite element modelling of materials. Students with a degree in mechanical or materials engineering or mathematics are encouraged to apply.

Prospective candidates will be assessed based on how well they meet the following criteria:

Excellent degree in their relevant discipline.

Excellent written and spoken communication skills.

The following skills are desirable:

Suraj Ravindran

Department of Aerospace Engineering and Mechanics, University of Minnesota

1. Introduction

Morphing soft matter, which is capable of changing its shape and function in response to stimuli, has wide-ranging applications in robotics, medicine and biology. Recently, computational models have accelerated its development. Here, we highlight advances and challenges in developing computational techniques, and explore the potential applications enabled by such models.

Yifan Yang, Fan Xu*

Nature Computational Science, 2024, https://doi.org/10.1038/s43588-024-00647-y

For a given class of materials, universal deformations are those deformations that can be maintained in the absence of body forces and by applying solely boundary tractions. For inhomogeneous bodies, in addition to the universality constraints that determine the universal deformations, there are extra constraints on the form of the material inhomogeneities—universal inhomogeneity constraints. Those inhomogeneities compatible with the universal inhomogeneity constraints are called universal inhomogeneities.

We are currently seeking a highly motivated candidate for a Post-Doc position in the School of Packaging at MSU. The focus of this position will be on studying the vibrations experienced by packages during transportation, their stabilty, and structural mechanics. This research will involve utilizing various tools and techniques such as a vibration shaker, acceleration sled, FEM simulations, DIC, nonlinear computational models, and more. To be considered for this position, the ideal candidate should possess the following qualifications:

Do you want to understand how digitalization can revolutionize civil engineering structures? Do you want to bridge the gap between academia and industry in your daily work? Are you eager to share your research with our students so that they can make the difference tomorrow? Then you could be the new colleague we are looking for. The Department of Civil and Architectural Engineering of Aarhus University is looking for a visionary Assistant Professor (Tenure Track)/Associate Professor in the area of Digitalization for Structural Engineering.