Our cohort
The interdisciplinary scientists building the next generation of materials.
Chemical Engineering
Advisor · Reginald Rogers and Scott Thompson
Applications for carbon nanotubes in nuclear environments, focusing on metallic composites created via additive manufacturing.
Chemical Engineering
Advisor · Matthias Young
Mapping chemical space in order to navigate it effectively for experimental predictions. Software-based.
Mechanical Engineering
Advisor · Nicole Hashemi
I work in microfluidics-based fiber manufacturing and characterization, leading to a data driven approach to improved manufacturing capabilities
Chemical Engineering
Advisor · Brian Welch
Molecular vapor deposition to form composite membranes.
Computer Science
Advisor · Filiz Bunyak
Emma Bennett develops graph-based solutions to computer vision applications in fields such as materials science, sensing, and precision agriculture. This includes problems like carbon nanotube segmentation and tracing, aerial localization, and crop yield prediction. Her research also explores quantum-classical learning and computing for large-scale experiments using the NSF Nautilus cluster.
Computer Science
Advisor · Derek Anderson
Developing AI/ML solutions to advanced problems in metamaterial engineering, organic chemistry, and more.
Chemical Engineering
Advisor · Matthias Young
My research focus is on the accelerated discovery of oMLD precursors for energy storage applications. I employ machine-learned property predictors and lean automated/autonomous characterization and data analysis procedures to rapidly search for vapor processible organic precursors to lithium-ion battery cathode and protective coating materials.
Chemical Engineering
Advisor · Chad Xing & Carlos Wexler
ML-guided MD simulations of lithium-ion transport in complex solids
Chemical Engineering
Advisor · Matthias Young
Erick Gutierrez-Monje applies ion-selective membranes for sensor fabric. His research also explores conductive polymers and how sequenced-controlled growth affects their electrical properties.
Chemical Engineering
Advisor · Matthias Young
Developing an autonomous system for the discovery of UV activated small molecule ALD inhibitors for applications in dry lithography.
Chemistry
Advisor · Kurt Brorsen
My research centers on the theoretical characterization of chemical systems using Density Functional Theory (DFT). I apply energetic and topological analyses (EDA, NBO, ELF, NCI, etc.) to uncover the origins of bonding, interactions and reactivity from an atomic level perspective. By combining DFT-derived insights with machine learning, my work guides molecular design and assesses reaction feasibility, with applications spanning ice lithography, chromophore photophysics, semiconductor/ALD processes, and pharmaceutical catalysis.
Mechanical Engineering
Advisor · Matt Maschmann
Focused on AI/ML driven nanofabrication using maskless Two-Photon Polymerization and building autonomous systems around manufacturing pipelines. This includes agentic co-scientist, defect detection, physics-informed design of structures, and more.