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5 results in Authors: Raghavendra Selvan

Materials Science

Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models

Andy Sode Anker, Emil T. S. Kjær, Erik B. Dam, Simon J. L. Billinge, Kirsten M. Ø. Jensen, Raghavendra Selvan

Version 1 posted 17 July 2020

641

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3

Citations

Materials Chemistry

Extracting Structural Motifs from Pair Distribution Function Data of Nanostructures using Explainable Machine Learning

Andy S. Anker, Emil T. S. Kjær, Mikkel Juelsholt, Troels Lindahl Christiansen, Susanne Linn Skjærvø, Mads Ry Vogel Jørgensen, Innokenty Kantor, Daniel Risskov Sørensen, Simon J. L. Billinge, Raghavendra Selvan, Kirsten Marie Ørnsbjerg Jensen

Version 1 posted 25 April 2022

315

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Materials Chemistry

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

Emil Thyge Skanning Kjær, Andy Sode Anker, Marcus Nørgaard Weng, Simon J. L. Billinge, Raghavendra Selvan, Kirsten Marie Ørnsbjerg Jensen

Version 2 posted 16 August 2022

606

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Materials Chemistry

A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation

Frederik Lizak Johansen, Andy Sode Anker, Ulrik Friis-Jensen, Erik Bjørnager Dam, Kirsten Marie Ørnsbjerg Jensen, Raghavendra Selvan

Version 1 posted 06 October 2023

287

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Materials Chemistry

Machine Learning for Analysis of Experimental Scattering and Spectroscopy Data in Materials Chemistry

Andy S. Anker, Keith T. Butler, Raghavendra Selvan, Kirsten Marie Ørnsbjerg Jensen

Version 1 posted 30 August 2023

536

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