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Researcher
- Diana E Hun
- Stephen M Killough
- Brian Sanders
- Bryan Maldonado Puente
- Corey Cooke
- Easwaran Krishnan
- Gerald Tuskan
- Ilenne Del Valle Kessra
- James Manley
- Jamieson Brechtl
- Jerry Parks
- Joe Rendall
- Karen Cortes Guzman
- Kashif Nawaz
- Kuma Sumathipala
- Mengjia Tang
- Muneeshwaran Murugan
- Nolan Hayes
- Paul Abraham
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- Tomonori Saito
- Vilmos Kertesz
- Xiaohan Yang
- Yang Liu
- Zoriana Demchuk

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

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.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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.