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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Soydan Ozcan
- Stephen M Killough
- Xianhui Zhao
- Alex Roschli
- Anton Ievlev
- Arpan Biswas
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Erin Webb
- Evin Carter
- Gerd Duscher
- Halil Tekinalp
- Jeremy Malmstead
- John Holliman II
- Kitty K Mccracken
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Mengdawn Cheng
- Neus Domingo Marimon
- Nolan Hayes
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sai Mani Prudhvi Valleti
- Sally Ghanem
- Sanjita Wasti
- Stephen Jesse
- Sumner Harris
- Tyler Smith
- Utkarsh Pratiush

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.