deep learning

We are seeking a highly motivated and enthusiastic researcher to fill a Postdoctoral Researcher position in Computational Solid Mechanics at the Florida A&M University-Florida State University College of Engineering (FAMU-FSU COE) in Tallahassee, Florida. The researcher will work on projects funded by the National Institutes of Health (NIH) aimed at developing novel computational techniques that leverage deep learning methods for solving problems in computational solid mechanics.

Research Fellow – Using Biomechanics and AI for Improved Glaucoma Diagnosis, Prognosis, and Management – Singapore Eye Research Institute (SERI) and Duke-NUS Medical School

We at MIT, welcome you to join us this summer, in person, for a hands-on design-to-product Predictive Multiscale Materials Design course from June 13-17, 2022. All course registrants will receive an MIT certificate upon completion.

https://professional.mit.edu/course-catalog/predictive-multiscale-materi...

Journal: Mathematics and Mechanics of Solids

Dear colleagues,

Meshfree analysis on complex geometries using physics-informed deep neural networks

Professor N. Sukumar 
University of California at Davis

We recently proposed a method that uses distance fields to exactly impose boundary conditions in physics-informed neural networks (PINN).  This contribution is available as an arXiv preprint.

If you are curious about application of machine learning techniques in mechanics problems, our latest paper is probably interesting for you. In this paper, we are proposing a micromechanics-based artificial neural networks model for short fiber composites. You can find the paper here: https://www.sciencedirect.com/science/article/pii/S1359836821001281 

Interested in deep learning, scientific computations, solution, and inversion methods for PDE? 

Check out the preprint at: 

https://www.researchgate.net/publication/341478559_SciANN_A_Keras_wrappe...

Machine learning (ML) in Mechanics is a fascinating and timely topic. This article follows from a kind invitation to provide some thoughts about the use of ML algorithms to solve mechanics problems by overviewing my past and current research efforts along with students and collaborators in this field. A brief introduction on ML is initially provided for the colleagues not familiar with the topic, followed by a section about the usefulness of ML in Mechanics, and finally I will reflect on the challenges and opportunities in this field.

Job description: We are looking for a bright, dynamic, and highly motivated individual to perform research in translational biomechanics with applications to ophthalmology. For more information about our Laboratory, please visit: http://www.bioeng.nus.edu.sg/oeil/.