# Talks and Presentations

## Invited Talks

- Physics-informed deep learning.
*Synced*, Aug. 2021. (Video) - DeepONet: Learning nonlinear operators.
*University of Iowa, Department of Mathematics*, May 2021. - Integrating machine learning & multiscale modeling.
*Purdue University, Department of Mathematics*, Feb. 2021. - Integrating machine learning & multiscale modeling in biomedicine.
*Queenâ€™s University, Department of Mechanical and Material Engineering*, Feb. 2021. (Video) - Integrating machine learning & multiscale modeling in biomedicine.
*University of Pennsylvania, Department of Chemical and Biomolecular Engineering*, Feb. 2021. - Physics-informed deep learning.
*Emory University, Scientific Computing Group*, Apr. 2020. - Scientific machine learning.
*Lawrence Berkeley National Laboratory, Computing Sciences*, Mar. 2020. - Scientific machine learning.
*Lawrence Livermore National Laboratory*, Feb. 2020. - Scientific machine learning.
*Worcester Polytechnic Institute, Mathematical Sciences Department*, Feb. 2020. - Scientific machine learning.
*Oak Ridge National Laboratory*, Jan. 2020. - Scientific machine learning.
*Argonne National Laboratory, Mathematics and Computer Science Division*, Jan. 2020. - Scientific machine learning.
*University of Pittsburgh, Department of Mechanical Engineering and Materials Science*, Nov. 2019. - Scientific machine learning.
*University of North Carolina at Charlotte, Department of Mathematics and Statistics*, Nov. 2019. - Collapse of deep and narrow neural nets.
*ICERM Scientific Machine Learning*, Providence, RI, Jan. 2019. (Video)

## Conference Presentations

- DeepONet: Learning nonlinear operators.
*Conference on the Numerical Solution of Differential and Differential-Algebraic Equations*, Martin Luther University Halle-Wittenberg, Germany, Sept. 2021. - DeepONet: Learning nonlinear operators.
*SIAM Conference on Applications of Dynamical Systems*, Virtually, May 2021. - One-shot learning for solution operators of partial differential equations.
*ICLR Workshop on Deep Learning for Simulation*, Virtually, May 2021. - DeepONet: Learning nonlinear operators based on the universal approximation theorem of operators.
*SIAM Conference on Computational Science and Engineering*, Virtually, Mar. 2021. - DeepXDE: A deep learning library for solving differential equations.
*Workshop on Mathematical Machine Learning and Application*, Pennsylvania State University, Virtually, Dec. 2020. - DeepONet: Learning nonlinear operators based on the universal approximation theorem of operators.
*SIAM Conference on Mathematics of Data Science*, Virtually, June 2020. (Video) - DeepXDE: A deep learning library for solving differential equations.
*SIAM Conference on Mathematics of Data Science*, Virtually, June 2020. (Video) - DeepXDE: A deep learning library for solving differential equations.
*AAAI Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences*, Stanford, CA, Mar. 2020. (Video) - DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.
*Joint Mathematics Meetings*, Denver, CO, Jan. 2020. - DeepXDE: A deep learning library for solving forward and inverse differential equations.
*3*, Santa Fe, NM, Jan. 2020. (Poster)^{rd}Physics Informed Machine Learning Workshop - DeepXDE: A deep learning library for solving differential equations.
*Conference on Neural Information Processing Systems Workshop on Machine Learning and the Physical Sciences*, Vancouver, Canada, Dec. 2019. - DeepXDE: A deep learning library for solving differential equations.
*Deep Learning for Science School*, Berkeley, CA, July 2019. - Quantitative prediction of erythrocyte sickling for anti-polymerization activities in sickle cell disease.
*60*, New Haven, CT, Oct. 2018.^{th}Annual Red Cell Meeting - OpenRBC: A fast simulator of red blood cells at protein resolution.
*SIAM Annual Meeting*, Pittsburgh, PA, July 2017. - Probing the twisted structure of sickle hemoglobin fibers via particle simulations.
*20*, Pacific Grove, CA, Sept. 2016.^{th}Biennial Hemoglobin Switching Conference - Shock tube ignition delay time study of RP-1/oxygen/argon mixtures.
*Stanford Undergraduate Visiting Research Symposium*, Stanford, CA, Aug. 2012. - The feasibility analysis of small-sized commercial ice-storage air-conditioning system.
*10*, Qingdao, Shandong, Aug. 2011.^{th}National Symposium on Refrigerators, Air Conditioners and Compressors