Welcome to the group page of the Interdisciplinary Scientific Computing Laboratory (ISCL). ISCL performs research at the intersection of data science, applied mathematics, and high-performance computing for solving grand challenge problems in computational science. ISCL is housed in the Information Science and Technology Department at Pennsylvania State University, University Park, as well as Argonne National Laboratory in the suburbs of Chicago. Our team is composed of postdoctoral fellows, graduate students, and visiting students across these two locations (with opportunities to travel between them). A high level overview of our research may be found in the following talks: , , , . Further information about publications can be found on Google Scholar and our software contributions are available on Github.
Members of our group have a unique platform for impactful research with access to Argonne's state-of-the-art supercomputing resources and the ability to work on large-scale research projects of strategic importance.
Romit will be giving a plenary talk about his experiences in interdisciplinary research at the Oklahoma State University, Mechanical and Aerospace Engineering Graduate Research Symposium on March 24, 2023.
Our work on multifidelity reinforcement learning for airfoil shape optimization has been published in the Journal of Computational Physics. Congrats to our summer interns Sahil Bhola and Suraj Pawar! Read more here.
Our workshop paper on the practical implications of invariant-preserving geometric deep learning for computational fluid dynamics is published in the ICLR Physics4ML workshop. Congratulations to Varun Shankar and Shivam Barwey!