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Researcher
- Costas Tsouris
- Rama K Vasudevan
- Andrew Sutton
- Michelle Kidder
- Radu Custelcean
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- Yongtao Liu
- Gyoung Gug Jang
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- Kyle Kelley
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- James Parks II
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- Jeffrey Einkauf
- Jewook Park
- Joanna Mcfarlane
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- Jong K Keum
- Kai Li
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Md Inzamam Ul Haque
- Melanie Moses-DeBusk Debusk
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sreshtha Sinha Majumdar
- Steven Randolph
- Sumner Harris
- Utkarsh Pratiush
- Vandana Rallabandi
- Yeonshil Park
- Zhiming Gao

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

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.

Innovative microporous polymer captures CO2 and converts it to valuable chemicals at low temperature and pressure.