Low‐Power Tunable Micro‐Plasma Device for Efficient and Scalable CO<sub>2</sub> Valorization

Valorizing CO<sub>2</sub> into chemical building blocks via efficient electrified processes could significantly decrease carbon emissions. In this work, a device that allows generation of tunable micro-plasma modes (arc, pulsed, pulsed arc) on a chip for efficient, low-power and renewable chemical production is presented. This concept is first demonstrated by using nanosecond repetitively pulsed (NRP) micro-plasma for pure CO<sub>2</sub> splitting and show that the pulse micro-plasma maintains a peak energy efficiency of 29% across 0.2%-21% CO<sub>2</sub> conversion at plasma powers below 1 W-nearly an order of magnitude lower power than other systems with comparable performance. The kinetic studies feature pulsed arc mode as a novel way to improve CO<sub>2</sub> conversion, where CO production tripled compared to pulsed mode with negligible energy efficiency losses. In addition, these devices are also capable of performing dry reforming of methane (DRM) with a maximum energy efficiency of 33% and a syngas ratio close 1. The fact that these devices are low-power, versatile and built as chips enables scalable, sustainable and decentralized CO<sub>2</sub> conversion.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-06-30
DOI
https://doi.org/10.1002/advs.202507687
Citations
2
Primary Topic
Plasma Applications and Diagnostics
Type
article
Field-Weighted Citation Impact
2.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low‐Power Tunable Micro‐Plasma Device for Efficient and Scalable CO2 Valorization

Jeremy S. Luterbacher, Hongkeng Zhu, Elison Matioli, Bartu Karakurt et al.
2 citations
Advanced Science
Plasma Applications and Diagnostics
2.72
article

Low‐Power Tunable Micro‐Plasma Device for Efficient and Scalable CO2 Valorization

Jeremy S. Luterbacher, Hongkeng Zhu, Elison Matioli, Bartu Karakurt, Onder Soydal
article en
2 citations

Abstract

Valorizing CO<sub>2</sub> into chemical building blocks via efficient electrified processes could significantly decrease carbon emissions. In this work, a device that allows generation of tunable micro-plasma modes (arc, pulsed, pulsed arc) on a chip for efficient, low-power and renewable chemical production is presented. This concept is first demonstrated by using nanosecond repetitively pulsed (NRP) micro-plasma for pure CO<sub>2</sub> splitting and show that the pulse micro-plasma maintains a peak energy efficiency of 29% across 0.2%-21% CO<sub>2</sub> conversion at plasma powers below 1 W-nearly an order of magnitude lower power than other systems with comparable performance. The kinetic studies feature pulsed arc mode as a novel way to improve CO<sub>2</sub> conversion, where CO production tripled compared to pulsed mode with negligible energy efficiency losses. In addition, these devices are also capable of performing dry reforming of methane (DRM) with a maximum energy efficiency of 33% and a syngas ratio close 1. The fact that these devices are low-power, versatile and built as chips enables scalable, sustainable and decentralized CO<sub>2</sub> conversion.

Advanced ScienceVol. 12(35)
École Polytechnique Fédérale de Lausanne (CH)
European Commission, Innosuisse - Schweizerische Agentur für Innovationsförderung, Bundesamt für Energie
Affordable and clean energy
Openalex Percentile: Top 10%
Plasma Applications and Diagnostics
2.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Low‐Power Tunable Micro‐Plasma Device for Efficient and Scalable CO<sub>2</sub> Valorization — Jeremy S. Luterbacher, Hongkeng Zhu, et al. · Advanced Science (2025) | TGRS Research Map | TGRS