activity
20142022
most citedMagnetic Field Prediction Using Generative Adversarial Networks

26 citations · 64 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 26 cited

Magnetic Field Prediction Using Generative Adversarial Networks

Stefan Pollok, Nataniel Olden-Jørgensen, Peter Stanley Jørgensen +1

Plenty of scientific and real-world applications are built on magnetic fields and their characteristics. To retrieve the valuable magnetic field information in high resolution, ext…

cond-mat.mtrl-sci2020

Non-destructive determination of phase, size, and strain of individual grains in polycrystalline photovoltaic materials

Mariana Mar Lucas, Tiago Ramos, Peter S. Jørgensen +5

We demonstrate a non-destructive approach to provide structural properties on the grain level for the absorber layer of kesterite solar cells. Kesterite solar cells are notoriously…

cond-mat.mtrl-sci2020★ 11 cited

A Physical Model for Microstructural Characterization and Segmentation of 3D Tomography Data

Elise Otterlei Brenne, Vedrana Andersen Dahl, Peter Stanley Jørgensen

We present a novel method for characterizing the microstructure of a material from volumetric datasets such as 3D image data from computed tomography (CT). The method is based on a…

cond-mat.mtrl-sci2016★ 23 cited

A TEM study of morphological and structural degradation phenomena in LiFePO4-CB cathodes

Duc-The Ngo, Roberto Scipioni, Søren Bredmose Simonsen +2

LiFePO4-based cathodes suffer from various degradation mechanisms which influences the battery performance. In this paper morphological and structural degradation phenomena in labo…

cond-mat.mtrl-sci2014★ 4 cited

In situ characterization of delamination and crack growth of a CGO-LSM multi-layer ceramic sample investigated by X-ray tomographic microscopy

R. Bjørk, V. Esposito, E. M. Lauridsen +5

The densification, delamination and crack growth behavior in a CeGdO (CGO) and (LaSrMnO (LSM) multi-layer ceramic sample was…