Andy S. Anker

Exploring the Composition Space of High-Entropy Alloy Nanoparticles for the Electrocatalytic H ₂ /CO Oxidation with Bayesian Optimization

Vladislav A. Mints, Jack K. Pedersen, Alexander Bagger et al. · ACS Catalysis · 2022 · 66 citations · Full text

Natural Sciences, Chemical Engineering, Materials Science +17

Assessment of fine-tuned large language models for real-world chemistry and material science applications

Joren Van Herck, M.V. Gil, Kevin Maik Jablonka et al. · Chemical Science · 2024 · 48 citations · Full text

Computing, Chemistry, Computer Science +15

Structural Changes during the Growth of Atomically Precise Metal Oxido Nanoclusters from Combined Pair Distribution Function and Small‐Angle X‐ray Scattering Analysis

Andy S. Anker, Troels Lindahl Christiansen, Marcus Weber et al. · Angewandte Chemie International Edition · 2021 · 41 citations · Full text

Natural Sciences, Chemistry, Materials Science +17

Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning

Andy S. Anker, Emil T. S. Kjær, Mikkel Juelsholt et al. · npj Computational Materials · 2022 · 39 citations · Full text

Natural Sciences, Chemistry, Materials Science +15

DeepStruc: towards structure solution from pair distribution function data using deep generative models

Emil T. S. Kjær, Andy S. Anker, Marcus N. Weng et al. · Digital Discovery · 2022 · 28 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17