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Researcher
- Stephen M Killough
- Ben Lamm
- Beth L Armstrong
- Brian Sanders
- Bruce A Pint
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Jerry Parks
- Meghan Lamm
- Nolan Hayes
- Paul Abraham
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- Shajjad Chowdhury
- Steven J Zinkle
- Tim Graening Seibert
- Tolga Aytug
- Vilmos Kertesz
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiaohan Yang
- Yang Liu
- Yanli Wang
- Ying Yang
- Yutai Kato

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.

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

Direct-acting antivirals are needed to combat coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

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).

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

There is a critical need for new antiviral drugs for treating infections of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

The invention provides on-line analysis of droplets for mass spectrometry.