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Researcher
- Lawrence {Larry} M Anovitz
- Blane Fillingim
- Brian Post
- Hongbin Sun
- Lauren Heinrich
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
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- Costas Tsouris
- Debangshu Mukherjee
- Gs Jung
- Gyoung Gug Jang
- Ilias Belharouak
- Juliane Weber
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Peng Yang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Radu Custelcean
- Ramanan Sankaran
- Ruhul Amin
- Sai Krishna Reddy Adapa
- Vimal Ramanuj
- Vishaldeep Sharma
- Wenjun Ge

CO2 capture by mineral looping, either using calcium or magnesium precursors requires that the materials be calcined after CO2 is captured from the atmosphere. This separates the CO2 for later sequestration and returned the starting material to its original state.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

Mineral looping is a promising method for direct air capture of CO2. However, reduction of sorbent reactivity after each loop is likely to be significant problems for mineral looping by MgO.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

An efficient, eco-friendly metal extraction using ultrasonic leaching, ideal for lithium and magnesium recovery from minerals and waste.

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