Yerin Jang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Classification of magnetic order from electronic structure by using machine learning	2023	Yerin Jang Choong H. Kim Ara Go
+	Classification of magnetic order from electronic structure by using machine learning	2023	Yerin Jang Choong H. Kim Ara Go

Common Coauthors

Coauthor	Papers Together
Ara Go	2
Choong H. Kim	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unsupervised and supervised learning of interacting topological phases from single-particle correlation functions	2023	Simone Tibaldi Giuseppe Magnifico Davide Vodola Elisa Ercolessi	2
+ PDF Chat	Deep learning of topological phase transitions from entanglement aspects: An unsupervised way	2021	Yuan-Hong Tsai Kuo-Feng Chiu Yong-Cheng Lai Kuan-Jung Su Tzu-Pei Yang Tsung-Pao Cheng Guang-Yu Huang Ming-Chiang Chung	2
+ PDF Chat	Hund's metallicity enhanced by a van Hove singularity in cubic perovskite systems	2021	Hyeong Jun Lee Choong H. Kim Ara Go	2
+ PDF Chat	Machine Learning Study of the Magnetic Ordering in 2D Materials	2022	Carlos Mera Acosta Elton Ogoshi J. A. Souza Gustavo M. Dalpian	2
+ PDF Chat	Spectral neighbor representation for vector fields: Machine learning potentials including spin	2022	Michelangelo Domina Matteo Cobelli Stefano Sanvito	2
+ PDF Chat	Predicting magnetic edge behavior in graphene using neural networks	2022	Meric E. Kucukbas Seán McCann Stephen R. Power	2
+ PDF Chat	Machine learning phases of matter	2017	Juan Carrasquilla Roger G. Melko	2
+ PDF Chat	Method for estimating spin-spin interactions from magnetization curves	2017	Ryo Tamura Koji Hukushima	2
+ PDF Chat	Quantum Loop Topography for Machine Learning	2017	Yi Zhang Eun-Ah Kim	2
+	Discovering the building blocks of atomic systems using machine learning: application to grain boundaries	2017	Conrad W. Rosenbrock Eric R. Homer Gábor Cśanyi Gus L. W. Hart	2
+ PDF Chat	Probing hidden spin order with interpretable machine learning	2019	Jonas Greitemann Ke Liu Lode Pollet	2
+ PDF Chat	Machine learning and the physical sciences	2019	Giuseppe Carleo J. I. Cirac K. Cranmer Laurent Daudet Maria Schuld Naftali Tishby Leslie Vogt-Maranto Lenka Zdeborová	2
+	Machine learning study of magnetism in uranium-based compounds	2020	Ayana Ghosh F. Ronning Serge Nakhmanson Jian‐Xin Zhu	2
+ PDF Chat	Data-driven studies of magnetic two-dimensional materials	2020	Trevor David Rhone Wei Chen Shaan Desai Steven B. Torrisi Daniel T. Larson Amir Yacoby Efthimios Kaxiras	2
+ PDF Chat	Machine learning modeling of superconducting critical temperature	2018	Valentin Stanev Corey Oses A. Gilad Kusne Efrain E. Rodriguez Johnpierre Paglione Stefano Curtarolo Ichiro Takeuchi	2
+ PDF Chat	Machine-Learning Studies on Spin Models	2020	Kenta Shiina Hiroyuki Mori Yutaka Okabe Hwee Kuan Lee	2
+ PDF Chat	Predicting the Curie temperature of ferromagnets using machine learning	2019	James Nelson Stefano Sanvito	2
+ PDF Chat	Machine Learning Phases of Strongly Correlated Fermions	2017	Kelvin Ch’ng Juan Carrasquilla Roger G. Melko Ehsan Khatami	2
+ PDF Chat	Machine-Learning-Guided Prediction Models of Critical Temperature of Cuprates	2021	Donggeon Lee Daegun You Dongwoo Lee Xin Li Sooran Kim	2
+ PDF Chat	Machine-learning-assisted insight into spin ice Dy2Ti2O7	2020	Anjana Samarakoon Kipton Barros Ying Wai Li Markus Eisenbach Qiang Zhang Feng Ye Vinit Sharma Zhiling Dun Haidong Zhou S. A. Grigera	2
+ PDF Chat	Revealing the phase diagram of Kitaev materials by machine learning: Cooperation and competition between spin liquids	2021	Ke Liu Nicolas Sadoune Nihal Rao Jonas Greitemann Lode Pollet	2
+ PDF Chat	Complex spin Hamiltonian represented by an artificial neural network	2022	Hongyu Yu Changsong Xu Xueyang Li Feng Lou L. Bellaïche Zhenpeng Hu Xin-Gao Gong Hongjun Xiang	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Machine learning in electronic-quantum-matter imaging experiments	2019	Yi Zhang Andrej Mesaroš K. Fujita Stephen Edkins Mohammad Hamidian Kelvin Ch’ng H. Eisaki S. Uchida J. C. Davis Ehsan Khatami	1
+ PDF Chat	Machine-learned phase diagrams of generalized Kitaev honeycomb magnets	2021	Nihal Rao Ke Liu Marc Machaczek Lode Pollet	1
+ PDF Chat	Electronic structures, magnetism, and phonon spectra in the metallic cubic perovskite <span class="aps-inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mrow><mi mathvariant="normal">BaOsO</mi></mrow><mn>3</mn></msub></math></span>	2014	Myung‐Chul Jung Kwan-Woo Lee	1
+ PDF Chat	Machine-learned model Hamiltonian and strength of spin–orbit interaction in strained Mg<sub>2</sub>X (X = Si, Ge, Sn, Pb)	2022	Mohammad Alidoust Erling Rothmund Jaakko Akola	1