Hong Liu

Associate Professor

Oregon State University

United States

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About

Hong Liu is an Associate Professor at Oregon State University, located in the United States. His research focuses on microbial fuel cell technology, resource recovery optimization, and the development of innovative materials for sustainable practices. Recent publications highlight advancements in microbial electrolysis cells, resource recovery methods, and the integration of machine learning with bioethanol production.

Articles (15)

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2025

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2024

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2024

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2020

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2020

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2020

Collaborators (2)

Yoomin Ahn

Professor; Associate Professor; Assistant Professor

Hanyang University

SOUTH KOREA

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Luguang Wang

Assistant Professor

Utah State University

UNITED STATES

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Hong Liu

Research Interests

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Articles (15)

Microbial fuel cell technology: Novelties for a clean future

Enhancing resource recovery from acid whey through chitosan-based pretreatment and machine learning optimization

Microbial electrosynthesis of single cell protein and methane by coupling fast-growing Methanococcus maripaludis with microbial electrolysis cells

Stable and high voltage and power output of CEA-MFCs internally connected in series (iCiS-MFC)

Development and validation of hydrophobic molded pulp nursery pots made of hemp hurd

Enhancing proton transport in polyvinylidenedifluoride membranes and reducing biofouling for improved hydrogen production in microbial electrolysis cells

Extracellular polymeric substances in electroactive biofilms play a crucial role in improving the efficiency of microbial fuel and electrolysis cells

Performance of single-layer paper-based co-laminar flow microbial fuel cells

An integration of machine learning models and life cycle assessment for lignocellulosic bioethanol platforms

Efficient H<sub>2</sub> production in a novel separator electrode assembly (SEA) microbial electrolysis cell

Predicting the performance of medium-chain carboxylic acid (MCCA) production using machine learning algorithms and microbial community data

Scaling-up up-flow microbial electrolysis cells with a compact electrode configuration for continuous hydrogen production

Breaking the loop: Tackling homoacetogenesis by chloroform to halt hydrogen production-consumption loop in single chamber microbial electrolysis cells

Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms

Microbial Community Predicts Functional Stability of Microbial Fuel Cells

Collaborators (2)

Yoomin Ahn

Luguang Wang

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