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NSF Program Director: Mechanics of Materials and Structures

Submitted by Siddiq Qidwai on

Dear Applied Mechanics Peers and Friends,

It is that time again. We are looking for one of you brilliant minds to be the next program director of the Mechanics of Materials and Structures (MoMS) program at the National Science Foundation (NSF).

Zdeněk P. Bažant Medal

Submitted by Executive Comm… on

The Zdeněk P. Bažant Medal was established in 2022 by the Applied Mechanics Division and recognizes an individual who has made significant contributions to the field of mechanics through research, practice, teaching and/or outstanding leadership. For details, please go to: Zdeněk P. Bažant Medal

1st Workshop on Thermodynamics of Fatigue Process

Submitted by pragtic on

The workshop takes place on-line only on June 14 from 2 PM CET. It is intended to serve as a networking event, where interested researchers present their focused domain. The subsequent brainstorming will help us to evaluate whether there is a will for a broader cooperation among the participants, and if to transform this workshop into something more regular.

If you do not feel strong enough to present, you are still invited to join us - simply let me know to my e-mail address to get the access to the workshop. No fee requested.

Postdoctoral Fellow in Data-Intensive Modeling of Architected Polymer Blends at Johns Hopkins University

Submitted by vicky.nguyen on

The Nguyen Lab and Elbert Lab invite applications for a postdoctoral position in data-intensive modeling and analysis of architected polymer blends, starting as soon as possible. The position is part of a funded NSF-DMREF grant to create Materials Architected by Adaptive Processing in accord with Materials Genome Initiative (MGI) goals.

Postdoc openings on Computational Mechanics and Scientific Machine Learning

Submitted by nbouklas on

There are multiple openings for postdoc positions on the intersection of Computational Mechanics and Scientific Machine Learning in the Bouklas Lab (https://blogs.cornell.edu/bouklaslab/) in Cornell MAE.

The work will focus on automated constitutive modeling, solution of PDEs and software development.

 

Researcher Positions at Microstructure Solid Mechanics Group, State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences

Submitted by Yewang Su on

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

12-21 Instabilities in Solids and Structures symposium at IMECE 2023

Submitted by Stavros Gaitanaros on

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.

Postdoc Position | Mechanics of Slender Structures | EPFL | Switzerland

Submitted by Pedro Reis on

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.

Technical Write-up: Identifying unknown material properties using reverse engineering by combining materials databases and artificial intelligence

Submitted by Chandima Uyanage on

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.

Journal Club for June 2023: A perspective on the role of machine learning in constitutive modeling and computational mechanics

Submitted by nbouklas on


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)