Anton O. Oliynyk

发表

Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties

Taylor D. Sparks, Michael W. Gaultois, Anton O. Oliynyk, 2016 .

Gd$_{12}$Co$_{5.3}$Bi and Gd$_{12}$Co$_{5}$Bi, Crystalline Doppelgänger with Low Thermal Conductivities

Taylor D. Sparks, Michael W. Gaultois, Anton O. Oliynyk, 2016 .

Effectively Exploring Parameter Space: Design of Experiments and Machine Learning-assisted Organic Solar Cell Efficiency Optimization

Bing Cao, Jillian M. Buriak, Anton O. Oliynyk, 2019 .

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

Kristin A. Persson, Steven K. Kauwe, Taylor D. Sparks, 2020 .

Machine Learning in Materials Discovery: Confirmed Predictions and Their Underlying Approaches

Anton O. Oliynyk, Bryce Meredig, James E. Saal, 2020 .

Preface to the special issue on machine learning and data-driven design of materials issue in computational materials science

Taylor D. Sparks, Anton O. Oliynyk, Vitaliy Romaka, 2021, Computational Materials Science.

A recommendation engine for suggesting unexpected thermoelectric chemistries

Bryce Meredig, Taylor D. Sparks, Michael W. Gaultois, 2015, 1502.07635.

Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis

James J. Harynuk, Anton O. Oliynyk, Arthur Mar, 2016 .

Data mining our way to the next generation of thermoelectrics

Bryce Meredig, Taylor D. Sparks, Jakoah Brgoch, 2016 .