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Submitted by Bin Wang on

Ultrastrong and stiff layered polymer nanocomposites, Podsiadlo, Kaushik, et al., Kotov, Science, 2007

Novelty/impact/significance:

Based on a traditional layer-by-layer (LBL) assembly, multilayered clay/poly(vinyl alcohol)(PVA) nanocomposites with highly ordered and uniformly distributed planar nanosheets are fabricated. The nanocomposites show exceptionally high stiffness and tensile strength (one order of magnitude greater than those of analogous nanocomposites), comparable to the modulus of Kevlar.

 

Scientific question:

Utah Virtual Open House

Submitted by Pai Wang on
job
#PhD_Position; Computational Mechanics

The department of Mechanical Engineering at the University of Utah is hosting a Virtual Open House for prospective graduate students and we'd love for you to attend!  We will be going over general program information, how to apply, and how to finance your degree. We’ll also have a faculty and student panel and virtual live lab tours!  This is a great opportunity for you to learn more about our program and see if it's a good fit for you! Register below (space is limited due to Zoom capabilities).
 

Fully-funded PhD positions in Multi-scale Mechanics Modelling, University of Groningen (Netherlands)

Submitted by Francesco Maresca on
job

Multiple fully funded PhD positions are available in the group of Francesco Maresca (https://www.rug.nl/staff/f.maresca/) at the University of Groningen, Netherlands, in Multi-scale mechanics modelling of materials, with focus on:

1. Hydrogen Embrittlement in Steels;

2. Solute strengthening in High Entropy Alloys.

keep reading-17

Submitted by Bin Wang on

 

Bioinspired hybrid materials from spray-formed ceramic templates, Dwivedi, Flynn, Resnick, Sampath, Gouldstone, Advanced Materials, 2015

Novelty/impact/significance:

Different from most research that explore exquisite fabrications, an industrial thermal spray-based technique is developed for making nacreous brick-and-mortar alumina composites, which allows for controlled architecture across length scales, diverse constituent materials, and easy scaling-up.

A predictive deep-learning approach for homogenization of auxetic kirigami metamaterials with randomly oriented cuts

Submitted by Jinxiong Zhou on
research
deep learning; kirigami

This paper describes a data-driven approach to predict mechanical properties of auxetic kirigami metamaterials with randomly oriented cuts. The finite element method (FEM)was used to generate datasets, the convolutional neural network (CNN) was introduced to train these data, and an implicit mapping between the input orientations of cuts and the output Young’s modulus and Poisson’s ratio of the kirigami sheets was established. With this input–output relationship in hand, a quick estimation of auxetic behavior of kirigami metamaterials is straightforward.

Architected Elastomer Networks for Optimal Electromechanical Response

Submitted by matthew.grasinger on
research
preprint
dielectric elastomers
electroelasticity

Dear Colleagues,

This is the preprint of an article on the design of elastomer networks for optimal electromechanical response that will appear in JMPS. We explore how various structural properties of an elastomer network (e.g. density of cross-links, fraction of loose-end monomers, orientation density of chains, etc.) affects both its bulk elastic and dielectric properties, and its performance as an actuator. (https://doi.org/10.1016/j.jmps.2020.104171).

 

NSF: Mechanics of Materials and Structures (MoMS) Program Listserv

Submitted by Siddiq Qidwai on
research
National Science Foundation
funding opportunity

Dear US Academic Researchers,

If you want to get on to the announcement listserv dedicated to the Mechanics of Materials & Structures (MoMS) program at the National Sciecne Foundation, then perform this task:

Send an email to listserv [at] listserv.nsf.gov with the message

subscribe MOMS Full_Name

e.g., subscribe MoMS John Smith

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