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A tutorial on the electrostatics of deformable materials with a focus on stability and bifurcation analysis

Submitted by Pradeep Sharma on

The attached tutorial paper is yet unpublished but I am posting a pre-print since several students I know have found it to be a useful pedagogical resource. You may also access the document on arXiv.

Here is the abstract.

Ph.D. positions at Univ. of Parma – Italy on Smart Materials and Additive Manufacturing Simulation (for Chinese CSC supported students)

Submitted by Roberto Brighenti on

Two Ph.D. positions are available at the Univ. of Parma – Italy, for Chinese CSC supported students. The topic will be the mechanical modeling of advanced and responsive materials and additive manufacturing modeling, starting from Nov. 2021.

Funded PhD Position in Dynamic Systems and Intelligent Machines Lab- San Diego State University

Submitted by Nili on

We have an open PhD position in the areas of perception, planning, and control of autonomous systems in DSIM lab. Highly motivated applicants with prior experience in robotics, control and/or machine learning and strong programming skills and mathematical background are encouraged to apply. Applicants should have B.Sc. and M.Sc. degrees in Computer Science, Mechanical Engineering, or a closely related field.

Remote Mechanics Teaching. How to do it well?

Submitted by Sanjay Govindjee on
Choose a channel featured in the header of iMechanica

Many of us will be teaching remotely soon.  I wonder what is most effective when it comes to mechanics.

In our department we have been having meetings to help professors figure out what is the approach to the online teaching modality.  There have been lots of suggestions:

Introducing Ansys Innovation Courses

Submitted by bhargavasista on

ANSYS, Inc. has been investing time and resources into their knowledge resources and academic program and their recent contribution to the community is the "Ansys Innovation Courses". These are on-demand physics-based courses that are free for everyone which empowers students and professionals to visualize, reinforce, and rapidly master key physics concepts, with the help of simulations.