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Theoretical and Computational Chemistry

Working Paper

Single Crystal Automated Refinement (SCAR): A Data-Driven Method for Solving Inorganic Structures

Gayatri Viswanathan, Anton Oliynyk, Erin Antono, Julia Ling, Bryce Meredig, Jakoah Brgoch

Version 1 posted 14 January 2019

1,247

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Theoretical and Computational Chemistry

Working Paper

Solving the Colouring Problem in Half-Heusler Structures: Machine-Learning Predictions and Experimental Validation

Alexander Gzyl, Anton Oliynyk, Lawrence Adutwum, Arthur Mar

Version 1 posted 28 March 2019

620

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Inorganic Chemistry

Working Paper

Trends in bulk compressibility of Mo2-xWxBC solid solutions

Marcus Parry, Jackson Hendry, Samantha Couper, Anton Oliynyk, Aria Mansouri Tehrani, Jakoah Brgoch, Lowell Miyagi, Taylor Sparks

Version 1 posted 13 October 2021

257

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Materials Science

Working Paper

Machine learning descriptors in materials chemistry: prediction and experimental validation synthesis of novel intermetallic UCd3

Sangjoon Lee, Clio Chen, Griheydi Garcia, Anton Oliynyk

Version 1 posted 03 January 2023

623

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3

Citations

Theoretical and Computational Chemistry

Working Paper

Machine Learning for Materials Scientists: An Introductory Guide Towards Best Practices

Anthony Wang, Ryan Murdock, Steven Kauwe, Anton Oliynyk, Aleksander Gurlo, Jakoah Brgoch, Kristin Persson, Taylor Sparks

Version 1 posted 06 May 2020

2,622

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1

Citations

Nanoscience

Working Paper

A Tale of Seemingly “Identical” Silicon Quantum Dot Families: Structural Insight into Silicon Quantum Dot Photoluminescence

Alyxandra Thiessen, Lijuan Zhang, Anton Oliynyk, Haoyang Yu, Kevin O'Connor, Alkiviathes Meldrum, Jonathan G.C. Veinot

Version 2 posted 17 February 2020

655

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Inorganic Chemistry

Working Paper

Finding the Next Superhard Material through Ensemble Learning

Ziyan Zhang, Aria Mansouri Tehrani, Anton Oliynyk, Blake Day, Jakoah Brgoch

Version 1 posted 15 July 2020

759

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Materials Chemistry

Working Paper

Composition and structure analyzer/featurizer for explainable machine-learning models to predict solid state structures

Emil Jaffal, Sangjoon Lee, Danila Shiryaev, Alex Vtorov, Nikhil Barua, Holger Kleinke, Anton Oliynyk

Version 1 posted 15 October 2024

104

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8 results in Anton Oliynyk in Authors: Anton Oliynyk

Single Crystal Automated Refinement (SCAR): A Data-Driven Method for Solving Inorganic Structures

Solving the Colouring Problem in Half-Heusler Structures: Machine-Learning Predictions and Experimental Validation

Trends in bulk compressibility of Mo2-xWxBC solid solutions

Machine learning descriptors in materials chemistry: prediction and experimental validation synthesis of novel intermetallic UCd3

Machine Learning for Materials Scientists: An Introductory Guide Towards Best Practices

A Tale of Seemingly “Identical” Silicon Quantum Dot Families: Structural Insight into Silicon Quantum Dot Photoluminescence

Finding the Next Superhard Material through Ensemble Learning

Composition and structure analyzer/featurizer for explainable machine-learning models to predict solid state structures

8 results in Authors: Anton Oliynyk