Ga offline met de app Player FM !
Episode 2: Gao and Ni on a deep learning method to predict elastic modulus field
Manage episode 288183414 series 2602554
MRS Bulletin’s Impact editor Markus Buehler interviews Huajian Gao of Nanyang Technological University, Singapore and Bo Ni of Brown University on their development of a deep learning method to predict the elastic modulus field based on strain data that may be the result of an experiment. The method is highly efficient and offers real-time solutions to problems that usually require complex numerical methods that rely on variational methods to solve elasticity problems, like finite element analysis. This type of approach may change the way researchers interpret experimental data. See the article “A deep learning approach to the inverse problem of modulus identification in elasticity” (doi:10.1557/mrs.2020.231).
91 afleveringen
Manage episode 288183414 series 2602554
MRS Bulletin’s Impact editor Markus Buehler interviews Huajian Gao of Nanyang Technological University, Singapore and Bo Ni of Brown University on their development of a deep learning method to predict the elastic modulus field based on strain data that may be the result of an experiment. The method is highly efficient and offers real-time solutions to problems that usually require complex numerical methods that rely on variational methods to solve elasticity problems, like finite element analysis. This type of approach may change the way researchers interpret experimental data. See the article “A deep learning approach to the inverse problem of modulus identification in elasticity” (doi:10.1557/mrs.2020.231).
91 afleveringen
All episodes
×Welkom op Player FM!
Player FM scant het web op podcasts van hoge kwaliteit waarvan u nu kunt genieten. Het is de beste podcast-app en werkt op Android, iPhone en internet. Aanmelden om abonnementen op verschillende apparaten te synchroniseren.