mechanics

In this course you will fully learn how to incorporate new materials informatics methods into your own material modeling, analysis and design processes in order to capitalize on recent AI breakthroughs, such as language models (e.g. GPT-3, BERT, LaMDA, etc.), DNA and protein models (e.g., AlphaFold), graph neural networks applied from molecular to macroscale structures, and a host of methods adapted for computer vision including diffusion models (as used in DALL-E 2 or Imagen), specifically for the analysis, design and modeling of materials. The course involves a mix of lectures, hands-on labs and clinics for an immersive experience. Participants will learn fundamentals and techniques to deploy machine learning in materials development and gain first-hand understanding of state-of-the art tools for varied applications ranging from data mining to inverse design. We will cover scales from the molecular to the continuum.

Structural Integrity and MEchanical Design (SIMED) group is seeking a PhD candidate to conduct research in computational solid mechanics, mainly applied to structural problems. The successful applicant will work at the Polytechnic Engineering and Architecture Department (DPIA) of the University of Udine, under Dr Enrico Salvati’s supervision.

I have a post-doc position for 24 months at Imperial College London, funded by Rolls Royce, working on dislocation mechanics modelling for problems in nuclear materials, full advert and application from the link below. Closing date 14th November 2021, starting as soon as possible, at least within the next 6 months.

https://www.imperial.ac.uk/jobs/description/ENG01880/research-associate…

A special issue on "Mechanics of 3D-Printed Polymers and Polymer Composites", is recently launched in the journal "Polymers". If your research is related to the topic, I would like to invite you to submit your latest research developments to the special issue. For more details and submitting your manuscript, please see: 

https://www.mdpi.com/journal/polymers/special_issues/Mech_3D_Print_Poly…;

A summer internship position is available in Joint academic-industrial project between Nordisch LLC and Michigan State University. We seeks to improve the understanding of the constitutive behavior of soft materials in extreme conditions. In particular, this is important for evaluating the long-term performance of soft materials that are used as critical components in various systems.

Dear Colleagues,

We would like to invite you to submit an abstract to the symposium on Multiscale Machine Learning for Geotechnical and Geophysics and Geomechanics Applications: from Grain- to Field-scales at the MMLDT-CSET 2021 conference, September 26-29:

Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT-CSET 2021)
An IACM Conference September 26-29, 2021 - Hyatt Regency Mission Bay, San Diego, USA
(website: https://mmldt.eng.ucsd.edu/)