Researcher Positions at Microstructure Solid Mechanics Group, State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences
I. Introduction to the Team
Dear colleagues,
We, the AMD IiSS Technical Committee organizers, are pleased to continue our long-standing tradition of arranging a symposium on "Instabilities in Solids and Structures" at the annual ASME-International Mechanical Engineering Congress and Exposition (IMECE). The Congress this year will be held in New Orleans, LA during the period of October 29-November 2, 2023.
The "Presentation Only" abstract submission deadline this year is June 23, 2023.
We're excited to share the news that we have a Postdoc opening in our fleXLab (Flexible Structures Laboratory) at EPFL in Switzerland. This position is focused on the mechanics of slender structures. We appreciate the unique perspectives that individual research interests bring, so we'll work to align the specifics of the research project with the successful candidate's interests.
An article published in the latest edition of Futurities - Simulation-Based Engineering & Sciences Magazine, discusses in detail about using Virtual Material Testing and AI to predict the material properties of complex microstructures that are difficult to measure in practice.
Introduction
The purpose of this blog post is to briefly outline a perspective on the emerging opportunities and challenges that arise as the field of Machine Learning (ML) is quickly driving the development of tools that are becoming mainstream in the study of solid mechanics and computational mechanics, with a focus on constitutive modeling. By no means is this a complete review of ML-enabled constitutive modeling.
Background on Scientific Machine Learning (SciML)
The microMechanics of Deformation Research Group (mMOD) in the Department of Materials Science and Engineering at Rutgers University is seeking a Post-Doctoral Associate to perform research as part of an NSF CAREER award project aimed at understanding the fundamentals of fracture in metals. Research tasks will include the development of a machine learning framework for training surrogate models which couples with the finite element method and analyzing large atomistic simulation datasets.
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 multi-axis vibrations experienced by packages during transportation. This research will involve utilizing various tools and techniques such as a multi-axis shaker, acceleration sled, FEM simulations, nonlinear models, and more. To be considered for this position, the ideal candidate should possess the following qualifications:
For a given class of materials, universal displacements are those displacements that can be maintained for any member of the class by applying only boundary tractions. In this paper we study universal displacements in compressible anisotropic linear elastic solids reinforced by a family of inextensible fibers. For each symmetry class and for a uniform distribution of straight fibers respecting the corresponding symmetry we characterize the respective universal displacements. A goal of this paper is to investigate how an internal constraint affects the set of universal displacements.
