Discovery of Intermetallic Compounds from Traditional to Machine-Learning Approaches von Oliynyk, Anton O, Mar, Arthur

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Identifying an efficient, thermally robust inorganic phosphor host via machine learning von Zhuo, Ya, Mansouri Tehrani, Aria, Oliynyk, Anton O., Duke, Anna C., Brgoch, Jakoah

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Machine Learning Directed Search for Ultraincompressible, Superhard Materials von Mansouri Tehrani, Aria, Oliynyk, Anton O, Parry, Marcus, Rizvi, Zeshan, Couper, Samantha, Lin, Feng, Miyagi, Lowell, Sparks, Taylor D, Brgoch, Jakoah

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How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics von Cao, Bing, Adutwum, Lawrence A, Oliynyk, Anton O, Luber, Erik J, Olsen, Brian C, Mar, Arthur, Buriak, Jillian M

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High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds von Oliynyk, Anton O, Antono, Erin, Sparks, Taylor D, Ghadbeigi, Leila, Gaultois, Michael W, Meredig, Bryce, Mar, Arthur

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Machine Learning in Materials Discovery: Confirmed Predictions and Their Underlying Approaches von Saal, James E, Oliynyk, Anton O, Meredig, Bryce

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Interpretable Machine Learning in Solid-State Chemistry, with Applications to Perovskites, Spinels, and Rare-Earth Intermetallics: Finding Descriptors Using Decision Trees von Selvaratnam, Balaranjan, Oliynyk, Anton O., Mar, Arthur

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Reconfigurable signal modulation in a ferroelectric tunnel field-effect transistor von Zhu, Zhongyunshen, Persson, Anton E. O., Wernersson, Lars-Erik

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Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis von Oliynyk, Anton O, Adutwum, Lawrence A, Harynuk, James J, Mar, Arthur

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Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices von Wang, Anthony Yu-Tung, Murdock, Ryan J, Kauwe, Steven K, Oliynyk, Anton O, Gurlo, Aleksander, Brgoch, Jakoah, Persson, Kristin A, Sparks, Taylor D

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Orientational Preferences of GPI-Anchored Ly6/uPAR Proteins von Zaigraev, Maxim M, Lyukmanova, Ekaterina N, Paramonov, Alexander S, Shenkarev, Zakhar O, Chugunov, Anton O

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Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC von Oliynyk, Anton O, Adutwum, Lawrence A, Rudyk, Brent W, Pisavadia, Harshil, Lotfi, Sogol, Hlukhyy, Viktor, Harynuk, James J, Mar, Arthur, Brgoch, Jakoah

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Tailorable Indirect to Direct Band-Gap Double Perovskites with Bright White-Light Emission: Decoding Chemical Structure Using Solid-State NMR von Karmakar, Abhoy, Bernard, Guy M., Meldrum, Alkiviathes, Oliynyk, Anton O., Michaelis, Vladimir K.

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Finding the Next Superhard Material through Ensemble Learning von Zhang, Ziyan, Mansouri Tehrani, Aria, Oliynyk, Anton O., Day, Blake, Brgoch, Jakoah

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Rapamycin suppresses brain aging in senescence-accelerated OXYS rats von Kolosova, Nataliya G., Vitovtov, Anton O., Muraleva, Natalia A, Akulov, Andrey E., Stefanova, Natalia A., Blagosklonny, Mikhail V.

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Virtual Issue on Machine-Learning Discoveries in Materials Science von Oliynyk, Anton O, Buriak, Jillian M

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Polarization control in an X-ray free-electron laser von Lutman, Alberto A., MacArthur, James P., Ilchen, Markus, Lindahl, Anton O., Buck, Jens, Coffee, Ryan N., Dakovski, Georgi L., Dammann, Lars, Ding, Yuantao, Dürr, Hermann A., Glaser, Leif, Grünert, Jan, Hartmann, Gregor, Hartmann, Nick, Higley, Daniel, Hirsch, Konstantin, Levashov, Yurii I., Marinelli, Agostino, Maxwell, Tim, Mitra, Ankush, Moeller, Stefan, Osipov, Timur, Peters, Franz, Planas, Marc, Shevchuk, Ivan, Schlotter, William F., Scholz, Frank, Seltmann, Jörn, Viefhaus, Jens, Walter, Peter, Wolf, Zachary R., Huang, Zhirong, Nuhn, Heinz-Dieter

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Half-Heusler Structures with Full-Heusler Counterparts: Machine-Learning Predictions and Experimental Validation von Gzyl, Alexander S, Oliynyk, Anton O, Mar, Arthur

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PREDDIMER: a web server for prediction of transmembrane helical dimers von Polyansky, Anton A, Chugunov, Anton O, Volynsky, Pavel E, Krylov, Nikolay A, Nolde, Dmitry E, Efremov, Roman G

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Quasi-cellular nets based models of flow systems von Aristov, Anton O.

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