Woven composites exhibit a complex hierarchical structure with multiple heterogeneous sub-scales, stemming from microscale fiber arrangements and mesoscale interlacing patterns, necessitating sophisticated modeling approaches to accurately capture their intricate multiscale nature.
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
Job description: We are looking for two bright, dynamic, and highly motivated individuals to perform research in translational biomechanics with applications to glaucoma and other ophthalmic disorders. For more information about our Laboratory, please visit: https://www.ophthalmic.engineering
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-mater…
Journal: Mathematics and Mechanics of Solids
Dear colleagues,
Meshfree analysis on complex geometries using physics-informed deep neural networks
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
Dear colleagues,
There is a new opening for one postdoc position, to be filled immediately, in my research group in the Department of Civil Engineering and Engineering Mechanics at Columbia University. We are looking for postdocs in the broad area of computational mechanics. Candidates should have expertise in modeling dynamic responses of path-dependent materials. Our project is specifically focused on applications of machine learning (reinforcement learning, graph embedding) for computational plasticity and damage.
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_wrapp…
Some problems are shared in our GitHub repository on how to use sciann for inversion and forward solution of:
