Lu Group’s current research interest is on scientific machine learning. Our broad research interests focus on multiscale modeling and high performance computing.
PhD, Masters, & Undergraduate Students and Postdoc Opening: We are looking for PhD, Masters, and undergraduate students and Postdocs to work on scientific machine learning. Students in chemical engineering, mechanical engineering, applied mathematics, applied physics, or related majors with proficient coding skills are welcome to apply. Please feel free to contact me with CV (and/or transcripts, sample publications) attached if you are interested. For more information, please check the PhD programs in Chemical and Biomolecular Engineering and Applied Mathematics and Computational Science.
Recent News
- New paper on SIAM Journal on Scientific Computing: Physics-informed neural networks with hard constraints for inverse design. (Nov. 21, 2021)
- Congratulations to Jeremy Yu on winning the Bronze medal (Computer Science) of 2021 S.-T. Yau High School Science Award USA. (Nov. 16, 2021)
- New paper on arXiv: A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data. (Nov. 11, 2021)
- Welcome to the first cohort of Lu Group: Mitchell Daneker, Min Zhu, Shuai Meng, Handi Zhang, Anran Jiao, Chenxi Wu! We had our first group meeting today! (Nov. 11, 2021)
- New paper on arXiv: Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems. (Nov. 4, 2021)
- Lu joins the Penn Institute for Computational Science (PICS). (Sept. 20, 2021)
- Penn Engineering Today: Assistant Professor Lu Lu Joins Department of Chemical and Biomolecular Engineering. (Aug. 30, 2021)