Aliaksandr S. Bandarenka

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"Aliaksandr Bandarenka"
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Wei-Jin Li collaborator 2017-2020
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Publications

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Katzenmeier L, Gößwein M, Carstensen L, et al. (2023) Mass transport and charge transfer through an electrified interface between metallic lithium and solid-state electrolytes. Communications Chemistry. 6: 124
Lamprecht X, Zellner P, Yesilbas G, et al. (2023) Fast-Charging Capability of Thin-Film Prussian Blue Analogue Electrodes for Aqueous Sodium-Ion Batteries. Acs Applied Materials & Interfaces
Santos CS, Botz A, Bandarenka AS, et al. (2022) Correlative Electrochemical Microscopy for the Elucidation of the Local Ionic and Electronic Properties of the Solid Electrolyte Interphase in Li-ion Batteries. Angewandte Chemie (International Ed. in English)
Hou S, Xu L, Ding X, et al. (2022) Dual In-situ Laser Techniques Underpin the Role of Cations in Impacting Electrocatalysts. Angewandte Chemie (International Ed. in English)
Lamprecht X, Speck F, Marzak P, et al. (2022) Electrolyte Effects on the Stabilization of Prussian Blue Analogue Electrodes in Aqueous Sodium-Ion Batteries. Acs Applied Materials & Interfaces. 14: 3515-3525
Yun J, Sagehashi R, Sato Y, et al. (2021) Nanosized and metastable molybdenum oxides as negative electrode materials for durable high-energy aqueous Li-ion batteries. Proceedings of the National Academy of Sciences of the United States of America. 118
Hou S, Li W, Watzele S, et al. (2021) Metamorphosis of Heterostructured Surface-Mounted Metal-Organic Frameworks Yielding Record Oxygen Evolution Mass Activities. Advanced Materials (Deerfield Beach, Fla.). e2103218
Xue S, Haid RW, Kluge RM, et al. (2020) Enhancing the hydrogen evolution reaction activity of platinum electrodes in alkaline media using Ni-Fe clusters. Angewandte Chemie (International Ed. in English)
Garlyyev B, Xue S, Fichtner J, et al. (2020) Prospects of Value-Added Chemicals and Hydrogen via Electrolysis. Chemsuschem
Rück M, Garlyyev B, Mayr F, et al. (2020) Oxygen Reduction Activities of Strained Platinum Core-Shell Electrocatalysts Predicted by Machine Learning. The Journal of Physical Chemistry Letters. 1773-1780
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