Machine vision-driven automatic recognition of particle size and morphology in SEM images von Kim, Hyojin, Han, Jinkyu, Han, T. Yong-Jin

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Highly compressible 3D periodic graphene aerogel microlattices von Zhu, Cheng, Han, T. Yong-Jin, Duoss, Eric B., Golobic, Alexandra M., Kuntz, Joshua D., Spadaccini, Christopher M., Worsley, Marcus A.

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Reliable and explainable machine-learning methods for accelerated material discovery von Kailkhura, Bhavya, Gallagher, Brian, Kim, Sookyung, Hiszpanski, Anna, Han, T. Yong-Jin

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Innermost stable circular orbit of Kerr-MOG black hole von Lee, Hyun-Chul, Han, Yong-Jin

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Multiphase separation of copper nanowires von Qian, Fang, Lan, Pui Ching, Olson, Tammy, Zhu, Cheng, Duoss, Eric B, Spadaccini, Christopher M, Han, T. Yong-Jin

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Explainable machine learning in materials science von Zhong, Xiaoting, Gallagher, Brian, Liu, Shusen, Kailkhura, Bhavya, Hiszpanski, Anna, Han, T. Yong-Jin

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Data-driven materials research enabled by natural language processing and information extraction von Olivetti, Elsa A., Cole, Jacqueline M., Kim, Edward, Kononova, Olga, Ceder, Gerbrand, Han, Thomas Yong-Jin, Hiszpanski, Anna M.

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Supercapacitors Based on Three-Dimensional Hierarchical Graphene Aerogels with Periodic Macropores von Zhu, Cheng, Liu, Tianyu, Qian, Fang, Han, T. Yong-Jin, Duoss, Eric B, Kuntz, Joshua D, Spadaccini, Christopher M, Worsley, Marcus A, Li, Yat

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Patterned Growth of Large Oriented Organic Semiconductor Single Crystals on Self-Assembled Monolayer Templates von Briseno, Alejandro L, Aizenberg, Joanna, Han, Yong-Jin, Penkala, Rebecca A, Moon, Hyunsik, Lovinger, Andrew J, Kloc, Christian, Bao, Zhenan

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Fabrication and 3D tomographic characterization of nanowire arrays and meshes with tunable dimensions from shear-aligned block copolymers von Yee, Timothy D, Watson, Carla L, Roehling, John D, Han, T. Yong-Jin, Hiszpanski, Anna M

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Investigating Processes of Nanocrystal Formation and Transformation via Liquid Cell TEM von Nielsen, Michael H., Li, Dongsheng, Zhang, Hengzhong, Aloni, Shaul, Han, T. Yong-Jin, Frandsen, Cathrine, Seto, Jong, Banfield, Jillian F., Cölfen, Helmut, De Yoreo, James J.

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Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge von Hiszpanski, Anna M, Gallagher, Brian, Chellappan, Karthik, Li, Peggy, Liu, Shusen, Kim, Hyojin, Han, Jinkyu, Kailkhura, Bhavya, Buttler, David J, Han, Thomas Yong-Jin

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Ultralight Conductive Silver Nanowire Aerogels von Qian, Fang, Lan, Pui Ching, Freyman, Megan C, Chen, Wen, Kou, Tianyi, Olson, Tammy Y, Zhu, Cheng, Worsley, Marcus A, Duoss, Eric B, Spadaccini, Christopher M, Baumann, Ted, Han, T. Yong-Jin

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Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery Workflows von Zhang, Jize, Kailkhura, Bhavya, Han, T. Yong-Jin

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Crystal structure prediction of energetic materials and a twisted arene with Genarris and GAtor von Bier, Imanuel, O'Connor, Dana, Hsieh, Yun-Ting, Wen, Wen, Hiszpanski, Anna M, Han, T. Yong-Jin, Marom, Noa

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Predicting Energetics Materials’ Crystalline Density from Chemical Structure by Machine Learning von Nguyen, Phan, Loveland, Donald, Kim, Joanne T, Karande, Piyush, Hiszpanski, Anna M, Han, T. Yong-Jin

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Effect of Magnesium Ions on Oriented Growth of Calcite on Carboxylic Acid Functionalized Self-Assembled Monolayer von Han, Yong-Jin, Aizenberg, Joanna

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Electro-Optical Device with Tunable Transparency Using Colloidal Core/Shell Nanoparticles von Han, Jinkyu, Freyman, Megan C, Feigenbaum, E, Yong-Jin Han, T

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Predicting compressive strength of consolidated molecular solids using computer vision and deep learning von Gallagher, Brian, Rever, Matthew, Loveland, Donald, Mundhenk, T. Nathan, Beauchamp, Brock, Robertson, Emily, Jaman, Golam G., Hiszpanski, Anna M., Han, T. Yong-Jin

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A study of real-world micrograph data quality and machine learning model robustness von Zhong, Xiaoting, Gallagher, Brian, Eves, Keenan, Robertson, Emily, Mundhenk, T. Nathan, Han, T. Yong-Jin

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