Recent news
- I gave a talk on Scientific Machine Learning at Argonne National Laboratory, Mathematics and Computer Science Division. (Jan 21, 2020)
- I gave a talk on DeepONet at JMM. (Jan 15, 2020)
- I gave a talk on DeepXDE at Physics Informed Machine Learning Workshop. (Jan 14, 2020)
- DeepXDE was presented at NeurIPS workshop on Machine Learning and the Physical Sciences. (Dec 14, 2019)
- DeepXDE was used to solve inverse problems in nano-optics and metamaterials, see our paper on arXiv. (Dec 2, 2019)
- I gave a talk on Scientific Machine Learning at University of Pittsburgh, Department of Mechanical Engineering and Materials Science. (Nov 21, 2019)
- I gave a talk on Scientific Machine Learning at University of North Carolina at Charlotte, Department of Mathematics and Statistics. (Nov 18, 2019)
- News on Brown Daily Herald. (Oct 30, 2019)
- Paper about DeepONets to learn operators was uploaded to arXiv. (Oct 8, 2019)
- News on Brown News and eHealthNews.eu. (Aug 22, 2019)
- Our model to gauge efficacy of new treatments for sickle cell disease was published on Science Advances. (Aug 21, 2019)
- Paper of DeepXDE was uploaded to arXiv. (Jul 10, 2019)
- The first stable version of DeepXDE (a deep learning library for solving differential equations) was released. (Jun 12, 2019)
- Paper about the generalization error in deep learning was uploaded to arXiv. (May 27, 2019)
- Paper about the dying ReLU problem was uploaded to arXiv. (Mar 15, 2019)
- I gave a talk on collapse of deep and narrow neural nets in ICERM Scientific Machine Learning. (Jan 28 – 30, 2019)
