If you have NSF-funded projects, please encourage your students to submit posters to ASME IMECE topic 16-1 and 16-2 (REU only)! NSF provides 30+ travel awards ($1200 each) to cover student travel cost, plus chances to win poster competition awards.
Micro-and nano-rods have been identified for various applications in actuators, sensors, and energy harvesters. This paper develops a general framework for micro-and nano-rods based on the one-dimensional strain-gradient theory for special Cosserat rods that considers large displacement and rotation of the cross section, chirality, and size effects. Initially, we obtain the linear momentum balance and angular momentum balance equations for rods utilizing the three-dimensional strain-gradient elasticity theory.
Wei Li=, Ruqing Fang=, Junning Jiao, Juner Zhu*
Department of Mechanical and Industrial Engineering, Northeastern University
* Corresponding author: j.zhu [at] northeastern.edu
= Authors with equal contributions to this article
USACM Nanotechnology and Lower Scale Phenomena TTA, webinar is on Jan 31, at 2-3 pm central time.
Speaker: Prof. Surya R. Kalidindi from Georgia Institute of Technology
We have Prof. Raymundo Arróyave of Texas A&M University as the discussant.
We are hoping the format will promote a lively interactive discussion and engage members of our community. We look forward to seeing you there. Please forward this to anyone who may be interested.
Join Zoom Meeting
I have a postdoc position available immediately in my research group (https://engineering.rowan.edu/dehub/). The position offers very competitive salary and it relates to an externally funded project on a cutting-edge topic of design optimization of metal parts for aerospace applications. The interested candidates must have a demonstrated capability to perform mechanical testing coupled with optical metrology and need to have good understanding of computational modeling. Please contact me directly as the position will be filled quickly.
I have an opening in my group for a 2-year postdoc position offering applicants an exciting opportunity to join my ERC-funded project “ALPS - AI-based Learning for Physical Simulation”.
Job description
You will be contributing to developing novel algorithms at the intersection of computational physics and machine learning for the automatic identification of symbolic models of physical systems starting from experimental data.
We are looking for a highly motivated candidate for a PhD position between École des Ponts ParisTech and University of Pavia, starting October 2024. The position is part of the EU-funded project MISCEA, an ambitious multidisciplinary Doctoral Training Network under the Horizon-Europe Marie Skłodowska-Curie Actions COFUND.
Uditnarayan Kouskiya Amit Acharya
We demonstrate the feasibility of a scheme to obtain approximate weak solutions to (inviscid) Burgers equation in conservation and Hamilton-Jacobi form, treated as degenerate elliptic problems. We show different variants recover non-unique weak solutions as appropriate, and also specific constructive approaches to recover the corresponding entropy solutions.
By considering the frictional sliding of randomly distributed entanglements within the polymer network upon mechanical stretches, we develop a constitutive theory to describe the large stretch behaviors of highly entangled hydrogels.
doi: https://doi.org/10.1007/s10483-024-3076-8
Solidification phenomenon has been an integral part of the manufacturing processes of metals, where the quantification ofstochastic variations and manufacturing uncertainties is critically important. Accurate molecular dynamics (MD) simulations ofmetal solidification and the resulting properties require excessive computational expenses for probabilistic stochastic analyseswhere thousands of random realizations are necessary.
