Research output per year
Research output per year
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Dive into the research topics where Stefan Ringe is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Atomic origins of electrochemical stability in acetate-based dual-cation water-in-salt electrolytes
Palchowdhury, S., Ringe, S., Lee, S. & Cho, M., 2026 Mar 28, In: Journal of Chemical Physics. 164, 12, 121102.Research output: Contribution to journal › Article › peer-review
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Author Correction: Peaks and pitfalls of electrocatalytic CO2 reduction descriptor models (Nature Catalysis, (2026), 9, 4, (471-481), 10.1038/s41929-026-01526-7)
Kim, B., Han, S., Wang, S., Ringe, S. & Oh, J., 2026 May, In: Nature Catalysis. 9, 5, p. 565 1 p.Research output: Contribution to journal › Comment/debate › peer-review
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Conjugated Polyelectrolytes with Tunable Ionic Side Chains for Iodide-Mediated Pt Reduction in Photoelectrochemical H2 Generation
Ha, J. M., Kim, J., Xu, S., Lee, Y., Lee, S., Koo, H. E., Byun, W. J., Seo, J., Lee, W., Jang, J. W., Ringe, S., Kim, J. Y. & Woo, H. Y., 2026 Mar 11, In: Advanced Energy Materials. 16, 10, e05450.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
Machine-learning enhanced simulations predict graphene is microscopically hydrophobic and not wetting transparent
Hou, D., Horbatenko, Y., Ringe, S. & Cho, M., 2026 Dec, In: Nature communications. 17, 1, 4792.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Citations (Scopus) -
Peaks and pitfalls of electrocatalytic CO2 reduction descriptor models
Kim, B., Han, S., Wang, S., Ringe, S. & Oh, J., 2026 Apr, In: Nature Catalysis. 9, 4, p. 471-481 11 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus)
Press/Media
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“Why Only Copper?”… KAIST Reveals Key Limitation of Catalysts That Convert Carbon into Fuel
26/5/21
4 items of Media coverage
Press/Media: Press / Media
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Decade-Long Debate Settled: AI Simulation Reveals Graphene's Intrinsic 'Hydrophobicity'
26/5/11
1 item of Media coverage
Press/Media: Press / Media
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Machine learning proves that graphene is hydrophobic
26/5/11
1 item of Media coverage
Press/Media: Press / Media
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Machine Learning Proves that Graphene is Hydrophobic
26/5/11
1 item of Media coverage
Press/Media: Press / Media
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Researchers from Korea University Report Findings in Science (Understanding Electrochemical CO2 Reduction Selectivity of Cu Binary Alloys from Electronic Structure Descriptors)
25/10/31
1 item of Media coverage
Press/Media: Press / Media