activity
20192022
most citedBayesian Optimization of High-Entropy Alloy Compositions for Electrocatalytic Oxygen Reduction

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2022

Unusual phase formation in reactively sputtered La-Co-O perovskite thin films

Tobias H. Piotrowiak, Rico Zehl, Ellen Suhr +4

La-based perovskites are a versatile class of materials that are of interest for solid oxide fuel cells and electrocatalytic water splitting. During fabrication of composition spre…

cond-mat.mtrl-sci20211 cited

Combinatorial materials discovery strategy for high entropy alloy electrocatalysts using deposition source permutations

Lars Banko, Olga A. Krysiak, Bin Xiao +6

High entropy alloys offer a huge search space for new electrocatalysts. Searching for a global property maximum in one quinary system could require, depending on compositional reso…

physics.chem-ph20212 cited

Bayesian Optimization of High-Entropy Alloy Compositions for Electrocatalytic Oxygen Reduction

Jack K. Pedersen, Christian M. Clausen, Olga A. Krysiak +10

Active, selective and stable catalysts are imperative for sustainable energy conversion, and engineering materials with such properties are highly desired. High-entropy alloys (HEA…

cond-mat.mtrl-sci2021

Deep learning for visualization and novelty detection in large X-ray diffraction datasets

Lars Banko, Phillip M. Maffettone, Dennis Naujoks +2

We apply variational autoencoders (VAE) to X-ray diffraction (XRD) data analysis on both simulated and experimental thin-film data. We show that crystal structure representations l…

physics.app-ph2019

Mastering processing-microstructure complexity through the prediction of thin film structure zone diagrams by generative machine learning models

Lars Banko, Yury Lysogorskiy, Dario Grochla +3

Thin films are ubiquitous in modern technology and highly useful in materials discovery and design. For achieving optimal extrinsic properties their microstructure needs to be cont…