Researchers Develop Membrane-Based Approach for More Sustainable Oil Refining

Researchers Develop Membrane-Based Approach for More Sustainable Oil Refining

Our group, led by Prof. Ryan Lively in collaboration with researchers at KAIST, has developed a membrane-based approach that could significantly reduce the energy, water, and carbon footprint of petroleum refining. The study, published in Nature, demonstrates an unexpected separation mechanism that enables efficient crude oil fractionation.

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New Nonaqueous Cooperative CO₂ Capture System Published in JACS

New Nonaqueous Cooperative CO₂ Capture System Published in JACS

Our group, in collaboration with Prof. M.G. Finn's lab, has developed a new energy-efficient carbon capture system based on a cooperative amine-solvent combination. Led by graduate student Lu Lu, the work demonstrates efficient CO2 capture and release without water, potentially reducing the energy required for carbon capture processes.

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Study Demonstrates Low-Cost CO₂ Removal from Air Using Cold Temperatures, Common Materials

Study Demonstrates Low-Cost CO₂ Removal from Air Using Cold Temperatures, Common Materials

Our group, led by Prof. Ryan Lively and postdoctoral researcher Seoyul Kim, has developed a low-cost direct air capture method using cold from LNG regasification and common physisorbents. This approach could cut capture costs to ~$70 per ton and enable large-scale CO₂ removal, especially in humid regions.

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Clearing the Air: Georgia Tech Takes Leading Role in Scrubbing the Atmosphere

Clearing the Air: Georgia Tech Takes Leading Role in Scrubbing the Atmosphere

Georgia Tech is leading the charge in Direct Air Capture (DAC) technology, which acts like a giant vacuum for CO2, removing carbon from the atmosphere. With pioneering research, strategic partnerships, and policy influence, Georgia Tech's Direct Air Capture Center (DirACC) is advancing this crucial technology to combat climate change and help achieve net-zero emissions.

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New Polymer Membranes, AI Predictions Could Dramatically Reduce Energy, Water Use in Oil Refining

New Polymer Membranes, AI Predictions Could Dramatically Reduce Energy, Water Use in Oil Refining

Georgia Tech researchers Ryan Lively, M.G. Finn, and Rampi Ramprasad have created a new kind of polymer membrane for separating crude oil into useful components. The membrane could greatly reduce the energy necessary for those initial separations. They’ve also created artificial intelligence tools to predict the performance of these kinds of polymer membranes, which could accelerate development of new ones.

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