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Researcher
- Hongbin Sun
- Kyle Kelley
- Rama K Vasudevan
- Blane Fillingim
- Brian Post
- Lauren Heinrich
- Olga S Ovchinnikova
- Peeyush Nandwana
- Sergei V Kalinin
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Alexander I Wiechert
- Anton Ievlev
- Bogdan Dryzhakov
- Costas Tsouris
- Debangshu Mukherjee
- Gs Jung
- Gyoung Gug Jang
- Ilias Belharouak
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Md Inzamam Ul Haque
- Neus Domingo Marimon
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Radu Custelcean
- Ramanan Sankaran
- Ruhul Amin
- Stephen Jesse
- Steven Randolph
- Thien D. Nguyen
- Vimal Ramanuj
- Vishaldeep Sharma
- Wenjun Ge
- Yongtao Liu

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

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