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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Olga S Ovchinnikova
- Sergei V Kalinin
- Andrew F May
- Anton Ievlev
- Ben Garrison
- Bogdan Dryzhakov
- Brad Johnson
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- Hsin Wang
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- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Md Inzamam Ul Haque
- Mike Zach
- Nedim Cinbiz
- Neus Domingo Marimon
- Stephen Jesse
- Steven Randolph
- Tony Beard
- 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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

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

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.