Machine learning tool for prediction amine emission from carbon capture technology

The Department of Energy's Office of Science awarded a $249,937 Project Grant to Polaron Technologies, Inc. (doing business as Polaron Analytics) to develop a machine learning tool for predicting amine emissions from carbon capture technology. This award, made under the Office of Science Financial Assistance Program (CFDA 81.049), supports fundamental scientific research across disciplines to advance U.S. energy, economic, and national security priorities. Polaron Technologies, a minority-owned small disadvantaged business, will leverage its expertise in advanced data analytics, software development, and machine learning to create a specialized tool for analyzing emissions from carbon capture systems, an important area of climate science research. The project period runs from July 2024 to July 2025, contributing to the Department of Energy's broader objectives in transformative scientific discoveries and technological capabilities.