Dr. Lei Wang’s research group at the University of Cincinnati (UC) is seeking two high-motivated and talented PhD students to be appointed as Graduate Assistants to conduct geotechnical engineering research in the Department of Civil and Architectural Engineering and Construction Management, beginning January 2023 or August 2023.
I would like to draw your attention to our recently proposed predictive method based on a semi-empirical model (LEFM) and Neural Network, exploiting the Physics-informed Machine Learning concept. We show how the accuracy of state-of-the-art fatigue predictive models, based on defects present in materials, can be significantly boosted by accounting for additional morphological features via Physics-Informed Machine Learning.
Join the Simpleware Product Group at Synopsys and nTopology for a webinar this month on automated segmentation and design workflows for patient-specific surgical guides.
Learn more and register for this free event here: https://register.gotowebinar.com/register/3232312822632785679?source=iM…
Very excited to share newly minted #SARSCoV2 paper from Dr. Dibakar Datta's Lab at New Jersey Institute of Technology in Springer Nature Digital's
Synopsys are running a webinar this month on using AI medical image segmentation in Simpleware software to scale-up patient-specific workflows, save time, and free up staff resources. Highly recommended if you haven't yet had a chance to review the tools in Simpleware software.
Register here: https://register.gotowebinar.com/register/4951806069167092496?source=iM…
Over the past several years, machine learning (ML) applied to problems in mechanics has massively grown in popularity. Here is a figure from a slide that I made in early 2020 referencing a few examples from the literature — already this slide feels out of date! All of these authors (and many many others) have published new papers on this topic.
As more researchers apply ML methods to problems in mechanics, I believe two methodological questions have become increasingly important:
We have new postdoc/Ph.D opening immediately in the broad area of architected metamaterials. Candidates who have prior experience in the mechanics of architected materials, machine learning/optimizations and interests in applying various additive manufacturing techniques developed in our lab is especially encouraged to reach out to us (email: rayne [at] seas.ucla.edu). https://www.raynexzheng.com/
Structural Integrity and MEchanical Design (SIMED) group is seeking a 1-year full-time Postdoctoral Researcher in Machine Learning applied to fracture mechanics. The successful applicant will work at the Polytechnic Engineering and Architecture Department (DPIA) of the University of Udine, under Dr Enrico Salvati’s supervision.
The project focuses, but not limited to, on feasibility study and application of Machine Learning methods to applied and numerical fatigue fracture mechanics problems.
Two postdoc positions in computational science are available at UIUC in the research group of Prof. Harley T. Johnson in the Department of Mechanical Science and Engineering and the Materials Research Lab.
