Simon J. L. Billinge

Professor

Columbia University

United States

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Simon J. L. Billinge is a Professor at Columbia University in the United States. His research focuses on non-negative matrix factorization, machine learning applications in structural analysis, and the development of open-source software for magnetic pair distribution function analysis. Recent contributions include advancements in automated analysis of nanoparticle formation and the design of metal-bis(acetamide) networks for optical applications.

Articles (10)

Year:

2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (6)

Benjamin Frandsen

Assistant Professor

Brigham Young University

UNITED STATES

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Jarad A. Mason

Harvard University

UNITED STATES

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Kirsten Marie Ørnsbjerg Jensen

Københavns Universitet

DENMARK

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Raghavendra Selvan

Københavns Universitet

DENMARK

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Qiang Du

Fu Foundation Professor of Applied Mathematics

Columbia University

UNITED STATES

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Dorota Koziej

GERMANY

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Simon J. L. Billinge

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

A fast two-stage algorithm for non-negative matrix factorization in smoothly varying data

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

diffpy.mpdf: open-source software for magnetic pair distribution function analysis

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

Designing Glass and Crystalline Phases of Metal–Bis(acetamide) Networks to Promote High Optical Contrast

Real-space texture and pole-figure analysis using the 3D pair distribution function on a platinum thin film

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

Cover Picture: In Situ Studies of the Formation of Tungsten and Niobium Oxide Nanoparticles: Towards Automated Analysis of Reaction Pathways from PDF Analysis using the Pearson Correlation Coefficient (Chem. Methods 9/2022)

In Situ Studies of the Formation of Tungsten and Niobium Oxide Nanoparticles: Towards Automated Analysis of Reaction Pathways from PDF Analysis using the Pearson Correlation Coefficient

In Situ Studies of the Formation of Tungsten and Niobium Oxide Nanoparticles: Towards Automated Analysis of Reaction Pathways from PDF Analysis using the Pearson Correlation Coefficient

Collaborators (6)

Benjamin Frandsen

Jarad A. Mason

Kirsten Marie Ørnsbjerg Jensen

Raghavendra Selvan

Qiang Du

Dorota Koziej

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