Work

Leveraging Machine Learning Models To Optimize Electrochemical CO 2 Capture from Treated Used Water

Year: 2026

Type: article

Source: ACS ES&T Engineering

DOI: 10.1021/acsestengg.5c00777

Authors: Nakyeong Yun, Moon Son, Ruggero Rossi

Institutions: Johns Hopkins University, Korea Institute of Science and Technology

Language: English

Topic: CO2 Reduction Techniques and Catalysts

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Clean water and sanitation, Climate action, Affordable and clean energy

Open Access status: closed

Funder: Johns Hopkins University

OpenAlex ID: W7125893335

FWCI:

Cites: 57

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