Faculty Research Talks - Fall 2025
Talks will be held at 2:30PM on every other Monday (M) at 2:30PM in CULM 611 unless otherwise noted.
September 15
Location: CULM 611
Soft Matter Systems: Big-data, Networks, Topology, Machine Learning
This project focuses on modeling soft matter systems using methods that include modeling, simulations, network analysis, topological data analysis (TDA), and machine learning (ML). The considered setups are typical for big-data problems involving large amounts of dynamic data. The plan is to use various mathematical methods to simplify these data sets, focusing on extracting physical mechanisms governing the behavior of underlying systems. The systems of interest include porous media flow, as well as wet and dry granular systems that are of relevance to a number of soft matter systems, such as suspensions, including active matter ones, among others. The projects at NJIT focus on modeling, simulations, TDA, and ML and are carried out in close collaboration with the groups focusing on physical experiments.
The presentation will provide an overview of various approaches being used, as well as of specific problems that have been explored recently. In addition, we will briefly discuss a few other projects that are currently considered by Complex Flow and Soft Matter Group members; more information about current and past projects can be found at the group page, cfsm.njit.edu.
September 29
Location: CULM 611
Floquet Materials - Dynamics and Spectrum
The last decade has witnessed tremendous experimental progress in the study of "Floquet media," crystalline materials whose properties are changed by applying a time-periodic parametric forcing. The theory of Floquet media has so far been restricted to discrete models, which are often heuristic and approximate. Understanding these materials from their underlying PDE models, such as the Schrödinger equation, remains an open problem. In this talk, we survey recent advancements in this area and some exciting future directions.
October 13
Location: CULM 611
Numerical Methods for Electronic Properties of Quantum Incommensurate 2D Materials
2D materials are one to a few atom thick sheets of atoms exhibiting periodicity in plane. These materials can be stacked in many ways allowing for a large range of tuning parameters to control electronic properties. One of these parameters includes a relative twist angle in plane between the various layers. While individual layers may exhibit periodicity, the global ensemble has no periodicity, and is then called incommensurate. Further, different species of 2D materials naturally have different periodicities, and become incommensurate regardless of choice of angle.
Incommensurate 2D materials with two similar periodicities form large moiré patterns resulting in exotic quantum phases including for twisted bilayer graphene correlated insulation, unconventional superconductivity, and the fractional quantum Hall effect. To understand and predict properties of moiré materials, accurate models called ab initio models derived from first principle physics are necessary. In this talk, we will overview how tools from numerical analysis and spectral theory can be used to explore accuracy of various models, and construct algorithms to efficiently compute quantum observables for various ab initio models.
October 27
Location: CULM 611
Title/Abstract Forthcoming
November 17
Location: CULM 611
Title/Abstract Forthcoming
Last updated: October 13, 2025