opinion

As some of you may know, I recently announced that I would be stepping down as the Editor-In-Chief (EIC) for the Elsevier journal titled Finite Elements in Analysis and Design (FINEL).  I had served in that capacity since 2010, so roughly 14 years, and the team at Elsevier indicated that it was time for someone new to take over the role.  Although I would have been more than happy to stay on, in time I did appreciate that it was probably better for the community to pass the reins on to someone else. 

dear Colleagues

In writing a review of models on fretting fatigue, I am looking at the effect of friction coefficient.   Obviously, if friction is zero there is no fretting fatigue!   This goes without saying.

A few days ago I had a good discussion with a dear colleague on the topic of the current state of scholarship in mechanics and the education of the new generation of mechanicians. During the past few decades most mechanics researchers have limited their activities to the writing of papers and research proposals. This because the “reward system” places little value to the authoring of monographs and textbooks.

Online symposium organized by the Young Academy of Europe on models and simulation for Covid-19 epidemic, including data analysis, on April 22 from 4 to 6 pm (CEST).

Free attendance upon registration. 

See the link below for more info about speakers, abstracts, timetable and registration:

https://meetings.yacadeuro.org/event/2/

150 people have already made the registration 

Here are some definitions which I have in my mind about the hierarchy of field theories of any kind. Please read them and correct me if there is any misunderstanding. Then I shall raise two questions based on this model of thought about the Mindlin's strain gradient and Eringen's nonlocal linear elasticity theories.

http://blog.geomblog.org/2018/01/report-on-double-blind-reviewing-in.html

Your views on this are welcomed in the comments.

-- Biswajit

We would be hard-pressed to find an area of research that permeates so deeply in nearly all branches of physical sciences and mathematics as does the topic of homogenization [1].

Many Mechanics journals are printed by Elsevier. Unfortunately, I observe huge deterioration of the quality of the printing. 

Hi all,

I  know that the study and application of machine learning/artificial intelligence are somehow popular nowadays, in a general academia. I happen to be interested in that. I found people use this tool to predict crystal structure in material science, to characterize molecule structure in chemistry. The first impression is that the machanince learning helps to deal with the raw data, to constitute empirical models etc. However, there are not as many published works as I imagine, on the application of machine learning in mechanics.

iMechanica is turning 8 in a month. The ever growing of iMechanica users has gone far beyond one’s expectation.