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Open webinar on Metamaterials, Glaucio Paulino, May 28, 5:00PM-7:30PM, CET

Submitted by Elena Benvenuti on

Origami Engineering: Metamaterials, Structures, and Robots

Prof. Glaucio Paulino

Georgia Institute of Technology, Atlanta, USA

 

JOIN THE WEBINARS

The webinars are hosted by the University of Ferrara on GoToMeeting platform. Join us on PC, tablet or smartphone at:

https://www.gotomeet.me/VirtualRoom-8/prin2015-metamaterials-webinars

Graduate Assistant Position in Fall 2021: Finite element modeling and simulations

Submitted by jeonghokim on

Graduate Research Assistant position (GPA: 3.5 or higher) is available to US Citizen for finite element modeling and simulations in the fall semester of 2021 at University of Connecticut. Apply ASAP for CEE  (structural engineering (MS/PhD) or Applied mechanics (PhD)) or ME (Systems and Mechanics (MS)) department. Contact: jeongho.kim [at] uconn.edu

Call for abstracts: Topic on 3D Printed Soft Materials in ASME IMECE 2021 (virtual conference)

Submitted by Kai Yu on

Dear colleagues:

We would like to invite you to submit an abstract to the topic on 3D Printed Soft Materials at the 2021 ASME IMECE, which is to be held as a virtual conference online from November 1 to November 5, 2021. This year, we are more than happy to invite Dr. Cheng Sun from Northwestern University to give an invited talk.

 

Please refer to the attached file for the scope of our topic. To submit an abstract, please

1. Go to: https://event.asme.org/IMECE

Curvature tunes wrinkling in shells

Submitted by Fan Xu on

Transverse wrinkles usually emerge in a uniaxially stretched elastic film and can be suppressed upon further tension, which is an instability-restabilization behavior due to the nonlinear competition between stretching energy and bending energy. Here, we show that curvature can effectively and precisely tune the wrinkling localization and amplitude.

LAMMPS tutorials on the simulations of shock wave propagation and ballistic impact

Submitted by Nuwan Dewapriya on

We are currently investigating the shock response of materials using molecular dynamics (MD). This project showed us that the preparation of properly equilibrated MD models can be very challenging even for someone with a strong background in molecular modeling. Therefore, we thought of sharing some of our recent MD models with the research community. We would like to share the LAMMPS input and data files required to run MD simulation of shock wave propagation and ballistic impacts. The two MD models are shown above.

Multi-physics modeling and finite element formulation of corneal UV cross-linking

Submitted by Shuolun Wang on

The UV cross-linking technique applied to the cornea is a popular and effective therapy for eye diseases such as keratoconus and ectatic disorders. The treatment strengthens the cornea by forming new cross-links via photochemical reactions and, in turn, prevents the disease from further developing.

1 PhD position in Real time brain-perfusion simulation for Acute Ischemic Stroke using machine learning-based reduced order modelling

Submitted by miquel.aguirre on

Objective: the objective of this doctoral position is to develop a real-time model of brain perfusion, by coupling a 1D-FSI model of blood flow with a 3D brain model of brain perfusion. Acceleration of the computation will be carried out using machine learning based reduced order modelling, leveraging from current work carried out at by the supervisors at CIS. Once available, the model will be coupled with additional models to provide a decision support tool for Acute Ischemic Stroke treatment.

Postdoctoral Position at UCLA in mechanics/machine learning/computational science

Submitted by Khalid Jawed on

We are looking for a postdoctoral fellow with a background in solid mechanics, machine learning, computational science, or relevant fields to work at the intersection of mechanics, machine learning (ML), and/or manufacturing. If the candidate has no proven record in ML, he/she should have the confidence and a track record to quickly master analytical and software tools in new fields. The postdoctoral fellow will work in an interdisciplinary and collaborative environment. He/she will be supervised by Prof. M.