Recent news
- Our systems-biology PINN is highlighted on Nature Computational Science. (Jan. 14, 2021)
- We used DeepONet for predicting multiscale bubble growth dynamics. (Dec. 23, 2020)
- Our paper on PINN for systems biology was published in PLOS Computational Biology. (Nov. 18, 2020)
- Our paper on dying ReLU was published in Communications in Computational Physics. (Nov. 18, 2020)
- We developed DeepM&Mnet for hypersonics. (Nov. 1, 2020)
- We developed DeepM&Mnet to build multiphysics & multiscale models in a plug-and-play mode using pretrained DeepONets that approximate nonlinear operators. (Sept. 28, 2020)
- DeepXDE was used to solve inverse problems in systems biology, see our paper on bioRxiv. (July 27, 2020)
- I received Chinese Government Award for Outstanding Self-Financed Students Abroad. (July 10, 2020)
- Our paper on generalization for neural networks was published in Neural Networks. (July 3, 2020)
- I organized a minisymposium on Machine Learning for Physical Systems at SIAM Conference on Mathematics of Data Science. (June 29, 2020)
- I gave a talk on DeepXDE at SIAM Conference on Mathematics of Data Science. (June 22, 2020)
- I received Joukowsky Family Foundation Outstanding Dissertation Award (the most prestigious Ph.D. award) from Brown University. (May 24, 2020)
- I gave a talk on physics-informed deep learning at Emory University, Scientific Computing Group. (Apr. 24, 2020)
- I received David Gottlieb Memorial Award from the Division of Applied Mathematics, Brown University. (Apr. 1, 2020)
- Brown News: Machine learning improves non-destructive materials testing. (Mar. 27, 2020)
- I gave a talk on DeepXDE at AAAI Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences. (Mar. 24, 2020)
- Paper about multi-fidelity neural networks for inverse indentation problems published in PNAS. (Mar. 16, 2020)
- NTU News: ​Machine learning technique sharpens prediction of material’s mechanical properties. (Mar. 16, 2020)
- MIT News: Deep learning for mechanical property evaluation. (Mar. 16, 2020)
- I gave a talk on Scientific Machine Learning at Lawrence Berkeley National Laboratory, Computing Sciences. (Mar. 9, 2020)
- SIAM News article highlights our work on sickle cell disease. (Mar. 2, 2020)
- I gave a talk on Scientific Machine Learning at Lawrence Livermore National Laboratory. (Feb. 19, 2020)
- I gave a talk on Scientific Machine Learning at Worcester Polytechnic Institute, Mathematical Sciences Department. (Feb. 13, 2020)
- I gave a talk on Scientific Machine Learning at Oak Ridge National Laboratory. (Jan. 27, 2020)
- I gave a talk on Scientific Machine Learning at Argonne National Laboratory, Mathematics and Computer Science Division. (Jan. 21, 2020)
