activity
20212026
collaborators

7 papers

cond-mat.mtrl-sci2026

Energetically Driven Structure Matching for Autonomous Total X-ray Scattering Experiments

Emil J. P. Frost, Martin A. Karlsen, Jonas H. Jensen +6

The emergence of autonomous laboratories motivates rapid conversion of experimental data into reliable atomistic models on time-scales compatible with closed-loop optimization. Her…

physics.chem-ph2026

How is Water released in Hydrogen-Based Metal Oxide Reduction? Unraveling the Kinetic Bottleneck in Sustainable Metal Production

Zhaoxi Chen, Yulu He, Zhuoran Yao +11

Hydrogen-based direct reduction of metal oxides is a ubiquitous solid-gas redox process central to geophysics, sustainable metallurgy, redox energy cycles and catalysis. During thi…

cond-mat.str-el2026

Role of Disorder in Governing the Magnetic Properties of Cu2IrO3

Priyanka Yadav, Sumit Sarkar, Vishal Kumar +6

CuIrO is a honeycomb iridate which has been studied recently as a candidate Kitaev quantum spin liquid. Its magnetic ground state however, has been reported to be quantum d…

cond-mat.mtrl-sci2023

Operando pair distribution function analysis of nanocrystalline functional materials: the case of -bronze nanocrystals in Li-ion battery electrodes

Martin Aaskov Karlsen, Jonas Billet, Songsheng Tao +3

Structural modelling of pair distribution function (PDF) data of functional materials can be highly complex. To aid the understanding of complex operando PDF data, we he…

cond-mat.mtrl-sci2022

Towards a machine-readable literature: finding relevant papers based on an uploaded powder diffraction pattern

Berrak Özer, Martin A. Karlsen, Zachary Thatcher +8

We investigate a prototype application for machine-readable literature. The program is called "pyDataRecognition" and serves as an example of a data-driven literature search, where…

cond-mat.mtrl-sci2022

Refining perovskite structures to pair distribution function data using collective Glazer modes as a basis

Sandra Helen Skjærvø, Martin A. Karlsen, Riccardo Comin +1

Structural modelling of octahedral tilts in perovskites is typically done using the symmetry constraints of the resulting space group. In most cases, this introduces more degrees o…

cond-mat.mtrl-sci2021

nmfMapping: a cloud-based web application for non-negative matrix factorization of powder diffraction and pair distribution function datasets

Zachary Thatcher, Chia-Hao Liu, Long Yang +7

A cloud-hosted web-based software application, nmfMapping, for carrying out a nonnegative matrix factorization of a set of powder diffraction or atomic pair distribution function d…