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RESEARCH PAPER · Digital Discovery · 2024

https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties

Jin‐Hoon Yang, Habin Kang, Hyuk Jin Kim, Taeho Kim, Heonsu Ahn, Tae Gyu Rhee, Yeong Gwang Khim, Byoung Ki Choi, Moon‐Ho Jo, Hyunju Chang, Jonghwan Kim, Young Jun Chang, Yea‐Lee Lee

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https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical propertiesOriginalPredicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization32Physics-guided deep learning strategy for 2D structure reconstruction from diffraction patterns3Self-Driving Laboratories: Translating Materials Science from Laboratory to Factory9Exploring materials data through collaboration: 2024 KRICT ChemDX Hackathon0Deep learning methods for 2D material electronic properties9Machine learning-assisted advances in graphene and 2D materials0Generative Models in Inorganic Crystals Discovery and Inverse Design0

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  1. Predicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization

    Nano Letters · 2024-11-12

    Christopher C. Price, Yansong Li, Guanyu Zhou, Rehan Younas, Spencer S. Zeng, Tim H. Scanlon, Jason M. Munro, Christopher L. Hinkle

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  2. Physics-guided deep learning strategy for 2D structure reconstruction from diffraction patterns

    Communications Physics · 2025-05-28

    Rong Fu, Tianhao Su, Musen Li, Yue Wu, Runhai Ouyang, Danica Solina, Michael Cortie, Tong‐Yi Zhang, Shunbo Hu, Zhongming Ren

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  3. Self-Driving Laboratories: Translating Materials Science from Laboratory to Factory

    ACS Omega · 2025-06-03

    Andre K. Y. Low, Jayce Jian Wei Cheng, Kedar Hippalgaonkar, Leonard W. T. Ng

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  4. Exploring materials data through collaboration: 2024 KRICT ChemDX Hackathon

    Journal of Materials Informatics · 2025-11-20

    Su‐Hyun Yoo, Andre K. Y. Low, Jose Recatala‐Gomez, Harikrishna Sahu, Chiho Kim, Joonyoung F. Joung, Hoje Chun, Katerina A. Christofidou, Joshua Berry, Michail Minotakis, Kisung Kang, Kwang-soo Kim, Gaheun Shin, Hyunwoo Jang, Sanghyuk Lee, Minkyu Park, B. S. Kim, Kihyun Shin, Jungho Shin, Aloysius Soon, Joshua Schrier, Woosun Jang

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  5. Deep learning methods for 2D material electronic properties

    Digital Discovery · 2025-12-09

    Artem Mishchenko, Anupam Bhattacharya, Xiangwen Wang, Henry Kelbrick Pentz, Yihao Wei, Qian Yang

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  6. Machine learning-assisted advances in graphene and 2D materials

    Current Applied Physics · 2026-04-06

    Sunuk Choe, Taegeun Song, Donghun Lee, Ara Go, Nojoon Myoung

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  7. Generative Models in Inorganic Crystals Discovery and Inverse Design

    Energy & environment materials · 2026-08-03

    Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao

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