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Researcher
- Diana E Hun
- Kashif Nawaz
- Kyle Gluesenkamp
- Rama K Vasudevan
- Som Shrestha
- Joe Rendall
- Philip Boudreaux
- Sergei V Kalinin
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- Zhiming Gao
- Bo Shen
- Bryan Maldonado Puente
- Kai Li
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Nolan Hayes
- Olga S Ovchinnikova
- Praveen Cheekatamarla
- Vishaldeep Sharma
- Zoriana Demchuk
- James Manley
- Jamieson Brechtl
- Mahabir Bhandari
- Melanie Moses-DeBusk Debusk
- Mingkan Zhang
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Stephen Jesse
- Venugopal K Varma
- Achutha Tamraparni
- Adam Aaron
- An-Ping Li
- Andre O Desjarlais
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Bogdan Dryzhakov
- Brian Fricke
- Catalin Gainaru
- Charles D Ottinger
- Cheng-Min Yang
- Chengyun Hua
- Christopher Rouleau
- Costas Tsouris
- Debangshu Mukherjee
- Dhruba Deka
- Easwaran Krishnan
- Gabor Halasz
- Gerd Duscher
- Gina Accawi
- Gs Jung
- Gurneesh Jatana
- Gyoung Gug Jang
- Hongbin Sun
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jewook Park
- Jiaqiang Yan
- Jong K Keum
- Karen Cortes Guzman
- Kuma Sumathipala
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mark M Root
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mengjia Tang
- Mina Yoon
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- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Pengtao Wang
- Peter Wang
- Petro Maksymovych
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- Saban Hus
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- Stephen M Killough
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- Venkatakrishnan Singanallur Vaidyanathan
- Xiaobing Liu
- Yeonshil Park
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- Yifeng Hu
- Zhenglai Shen

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.

The widespread use of inexpensive salt hydrate-based phase change materials, or PCMs, has been prevented by a key technical challenge: phase separation, also known as incongruency, which results in the significant degradation of the materials' ability to store thermal energy o

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

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
Adhesive and sealant materials are crucial in construction, automotive, and electronics industries. However, most adhesives fail under stress or environmental conditions like dust, water, or wear.

The vast majority of energy conversion technologies and industrial processes depend on heat exchangers for transferring heat between fluids.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.

Application of thermally anisotropic composite materials coupled with a heat sink/source can redirect and reduce heat flows through a building envelope (walls and roofs).