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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Andrzej Nycz
- Kuntal De
- Sergei V Kalinin
- Stephen M Killough
- Udaya C Kalluri
- Alex Walters
- Anton Ievlev
- Biruk A Feyissa
- Bogdan Dryzhakov
- Bryan Maldonado Puente
- Chris Masuo
- Clay Leach
- Corey Cooke
- Debjani Pal
- Diana E Hun
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nolan Hayes
- Olga S Ovchinnikova
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- Stephen Jesse
- Steven Randolph
- Vincent Paquit
- Xiaohan Yang
- Yongtao Liu

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

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture