activity
20152022
most citedEfficient and Accurate Machine-Learning Interpolation of Atomic Energies in Compositions with Many Species

345 citations · 807 across the 6 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

8 papers · 1 filter

cond-mat.mtrl-sci20221 cited

AI-Aided Mapping of the Structure-Composition-Conductivity Relationships of Glass-Ceramic Lithium Thiophosphate Electrolytes

Haoyue Guo, Qian Wang, Alexander Urban +1

Lithium thiophosphates (LPS) with the composition (LiS)(PS) are among the most promising prospective electrolyte materials for solid-state batteries (SSBs),…

cond-mat.mtrl-sci2021

Strategies for the Construction of Machine-Learning Potentials for Accurate and Efficient Atomic-Scale Simulations

April M. Miksch, Tobias Morawietz, Johannes Kästner +2

Recent advances in machine-learning interatomic potentials have enabled the efficient modeling of complex atomistic systems with an accuracy that is comparable to that of conventio…

cond-mat.mtrl-sci2020

Potential and pH dependence of the buried interface of membrane-coated electrocatalysts

Jianzhou Qu, Alexander Urban

Semipermeable silica membranes are attractive as protective coatings for metal electrocatalysts such as platinum but their impact on the catalytic properties has not been fully und…

cond-mat.mtrl-sci2018

Hidden structural order controls Li-ion transport in cation-disordered oxides for rechargeable lithium batteries

Huiwen Ji, Alexander Urban, Daniil A. Kitchaev +8

Crystal structures play a vital role in determining materials properties. In Li-ion cathodes, the crystal structure defines the dimensionality and connectivity of interstitial site…

cond-mat.mtrl-sci2017220 cited

The electronic-structure origin of cation disorder in transition-metal oxides

Alexander Urban, Aziz Abdellahi, Stephen Dacek +2

Cation disorder is an important design criterion for technologically relevant transition-metal (TM) oxides, such as radiation-tolerant ceramics and Li-ion battery electrodes. In th…

cond-mat.mtrl-sci201791 cited

Influence of inversion on Mg mobility and electrochemistry in spinels

Gopalakrishnan Sai Gautam, Pieremanuele Canepa, Alexander Urban +2

Magnesium oxide and sulfide spinels have recently attracted interest as cathode and electrolyte materials for energy-dense Mg batteries, but their observed electrochemical performa…