Size-Resolved Shape Evolution in Inorganic Nanocrystals Captured via High-Throughput Deep Learning-Driven Statistical Characterization

Cho, Min Gee; Sytwu, Katherine; Rangel DaCosta, Luis; Groschner, Catherine; Oh, Myoung Hwan; Scott, Mary C.

doi:10.1021/acsnano.4c09312

Title: Size-Resolved Shape Evolution in Inorganic Nanocrystals Captured via High-Throughput Deep Learning-Driven Statistical Characterization

Journal Article · 19 October 2024 · ACS Nano

DOI: https://doi.org/10.1021/acsnano.4c09312 · OSTI ID:2472880

^[1]; Sytwu, Katherine ^[2];

^[1];

^[3];

^[4]; Scott, Mary C. ^[1]

National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States, Department of Materials Science and Engineering, University of California Berkeley, Berkeley, California 94720, United States
National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
Department of Materials Science and Engineering, University of California Berkeley, Berkeley, California 94720, United States
Department of Energy Engineering, KENTECH Institute for Environmental and Climate Technology, Korea Institute of Energy Technology, Naju 58330, Republic of Korea

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Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC02-05CH11231; SC0021110

OSTI ID:: 2472880

Journal Information:: ACS Nano, Journal Name: ACS Nano Journal Issue: 43 Vol. 18; ISSN 1936-0851

Publisher:: American Chemical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

References (53)

Engineering Catalytic Active Sites on Cobalt Oxide Surface for Enhanced Oxygen Electrocatalysis Han, Xiaopeng; He, Guowei; He, Yu Advanced Energy Materials, Vol. 8, Issue 10 https://doi.org/10.1002/aenm.201702222	journal	December 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Ronneberger, Olaf; Fischer, Philipp; Brox, Thomas Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III https://doi.org/10.1007/978-3-319-24574-4_28	book	November 2015
Metal oxides nanoparticles via sol–gel method: a review on synthesis, characterization and applications Parashar, Mritunjaya; Shukla, Vivek Kumar; Singh, Ranbir Journal of Materials Science: Materials in Electronics, Vol. 31, Issue 5 https://doi.org/10.1007/s10854-020-02994-8	journal	February 2020
Theoretical approach for determining the relation between the morphology and surface magnetism of Co3O4 Ribeiro, R. A. P.; de Lazaro, S. R.; Gracia, L. Journal of Magnetism and Magnetic Materials, Vol. 453 https://doi.org/10.1016/j.jmmm.2017.11.025	journal	May 2018
Machine Learning Pipeline for Segmentation and Defect Identification from High-Resolution Transmission Electron Microscopy Data Groschner, Catherine K.; Choi, Christina; Scott, Mary C. Microscopy and Microanalysis, Vol. 27, Issue 3 https://doi.org/10.1017/S1431927621000386	journal	May 2021
Understanding the Influence of Receptive Field and Network Complexity in Neural Network-Guided TEM Image Analysis Sytwu, Katherine; Groschner, Catherine; Scott, Mary C. Microscopy and Microanalysis, Vol. 28, Issue 6 https://doi.org/10.1017/S1431927622012466	journal	December 2022
Symmetry in Seeded Metal Nanocrystal Growth Skrabalak, Sara E. Accounts of Materials Research, Vol. 2, Issue 8 https://doi.org/10.1021/accountsmr.1c00077	journal	July 2021
Size-Controlled Synthesis of Sub-10-nanometer Citrate-Stabilized Gold Nanoparticles and Related Optical Properties. Piella, Jordi; Bastús, Neus G.; Puntes, Victor Chemistry of Materials, Vol. 28, Issue 4 https://doi.org/10.1021/acs.chemmater.5b04406	journal	February 2016
Machine Learning-Directed Navigation of Synthetic Design Space: A Statistical Learning Approach to Controlling the Synthesis of Perovskite Halide Nanoplatelets in the Quantum-Confined Regime Braham, Erick J.; Cho, Junsang; Forlano, Kristel M. Chemistry of Materials, Vol. 31, Issue 9 https://doi.org/10.1021/acs.chemmater.9b00212	journal	April 2019
Surface and Interface Control in Nanoparticle Catalysis Xie, Chenlu; Niu, Zhiqiang; Kim, Dohyung Chemical Reviews, Vol. 120, Issue 2 https://doi.org/10.1021/acs.chemrev.9b00220	journal	October 2019
Quantitative Imaging of Organic Ligand Density on Anisotropic Inorganic Nanocrystals Janicek, Blanka E.; Hinman, Joshua G.; Hinman, Jordan J. Nano Letters, Vol. 19, Issue 9 https://doi.org/10.1021/acs.nanolett.9b02434	journal	August 2019
Probing the Crystal Plane Effect of Co ₃ O ₄ for Enhanced Electrocatalytic Performance toward Efficient Overall Water Splitting Liu, Li; Jiang, Zhiqiang; Fang, Ling ACS Applied Materials & Interfaces, Vol. 9, Issue 33 https://doi.org/10.1021/acsami.7b07793	journal	August 2017
Morphology and Active-Site Engineering for Stable Round-Trip Efficiency Li–O₂ Batteries: A Search for the Most Active Catalytic Site in Co₃O₄ Song, Kyeongse; Cho, Eunbi; Kang, Yong-Mook ACS Catalysis, Vol. 5, Issue 9 https://doi.org/10.1021/acscatal.5b01196	journal	August 2015
Statistical Characterization of the Morphologies of Nanoparticles through Machine Learning Based Electron Microscopy Image Analysis Lee, Byoungsang; Yoon, Seokyoung; Lee, Jin Woong ACS Nano, Vol. 14, Issue 12 https://doi.org/10.1021/acsnano.0c06809	journal	November 2020
High-Throughput Sizing, Counting, and Elemental Analysis of Anisotropic Multimetallic Nanoparticles with Single-Particle Inductively Coupled Plasma Mass Spectrometry Koolen, Cedric David; Torrent, Laura; Agarwal, Ayush ACS Nano, Vol. 16, Issue 8 https://doi.org/10.1021/acsnano.2c01840	journal	July 2022
Chirality Analysis of Complex Microparticles using Deep Learning on Realistic Sets of Microscopy Images Visheratina, Anastasia; Visheratin, Alexander; Kumar, Prashant ACS Nano, Vol. 17, Issue 8 https://doi.org/10.1021/acsnano.2c12056	journal	April 2023
Structural Control of Plasmon Resonance in Molecularly Linked Metal Oxide Nanocrystal Gel Assemblies Kang, Jiho; Sherman, Zachary M.; Conrad, Diana L. ACS Nano, Vol. 17, Issue 23 https://doi.org/10.1021/acsnano.3c09515	journal	November 2023
Oleylamine in Nanoparticle Synthesis Mourdikoudis, Stefanos; Liz-Marzán, Luis M. Chemistry of Materials, Vol. 25, Issue 9 https://doi.org/10.1021/cm4000476	journal	February 2013
Prospects of Colloidal Nanocrystals for Electronic and Optoelectronic Applications Talapin, Dmitri V.; Lee, Jong-Soo; Kovalenko, Maksym V. Chemical Reviews, Vol. 110, Issue 1 https://doi.org/10.1021/cr900137k	journal	January 2010
Electro- and Photochemical Water Oxidation on Ligand-free Co ₃ O ₄ Nanoparticles with Tunable Sizes Grzelczak, Marek; Zhang, Jinshui; Pfrommer, Johannes ACS Catalysis, Vol. 3, Issue 3 https://doi.org/10.1021/cs3007523	journal	February 2013
X-ray Photoelectron Spectroscopy of CdSe Nanocrystals with Applications to Studies of the Nanocrystal Surface Katari, J. E. Bowen; Colvin, V. L.; Alivisatos, A. P. The Journal of Physical Chemistry, Vol. 98, Issue 15 https://doi.org/10.1021/j100066a034	journal	April 1994
Synthesis and characterization of nearly monodisperse CdE (E = sulfur, selenium, tellurium) semiconductor nanocrystallites Murray, C. B.; Norris, D. J.; Bawendi, M. G. Journal of the American Chemical Society, Vol. 115, Issue 19, p. 8706-8715 https://doi.org/10.1021/ja00072a025	journal	September 1993
Precursor Conversion Kinetics and the Nucleation of Cadmium Selenide Nanocrystals Owen, Jonathan S.; Chan, Emory M.; Liu, Haitao Journal of the American Chemical Society, Vol. 132, Issue 51 https://doi.org/10.1021/ja106777j	journal	December 2010
Shape-Selective Synthesis and Facet-Dependent Enhanced Electrocatalytic Activity and Durability of Monodisperse Sub-10 nm Pt−Pd Tetrahedrons and Cubes Yin, An-Xiang; Min, Xiao-Quan; Zhang, Ya-Wen Journal of the American Chemical Society, Vol. 133, Issue 11 https://doi.org/10.1021/ja200329p	journal	March 2011
Selective Synthesis of Co ₃ O ₄ Nanocrystal with Different Shape and Crystal Plane Effect on Catalytic Property for Methane Combustion Hu, Linhua; Peng, Qing; Li, Yadong Journal of the American Chemical Society, Vol. 130, Issue 48 https://doi.org/10.1021/ja806400e	journal	December 2008
Scientific Machine Learning of 2D Perovskite Nanosheet Formation Dahl, Jakob C.; Niblett, Samuel; Cho, Yeongsu Journal of the American Chemical Society, Vol. 145, Issue 42 https://doi.org/10.1021/jacs.3c05984	journal	October 2023
AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles Wang, Xingzhi; Li, Jie; Ha, Hyun Dong JACS Au, Vol. 1, Issue 3 https://doi.org/10.1021/jacsau.0c00030	journal	February 2021
Shape control of CdSe nanocrystals Peng, Xiaogang; Manna, Liberato; Yang, Weidong Nature, Vol. 404, Issue 6773, p. 59-61 https://doi.org/10.1038/35003535	journal	March 2000
Colloidal nanocrystal synthesis and the organic–inorganic interface Yin, Yadong; Alivisatos, A. Paul Nature, Vol. 437, Issue 7059, p. 664-670 https://doi.org/10.1038/nature04165	journal	September 2005
Low-temperature oxidation of CO catalysed by Co₃O₄ nanorods Xie, Xiaowei; Li, Yong; Liu, Zhi-Quan Nature, Vol. 458, Issue 7239, p. 746-749 https://doi.org/10.1038/nature07877	journal	April 2009
Deep learning LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey Nature, Vol. 521, Issue 7553 https://doi.org/10.1038/nature14539	journal	May 2015
Lithium-free transition metal monoxides for positive electrodes in lithium-ion batteries Jung, Sung-Kyun; Kim, Hyunchul; Cho, Min Gee Nature Energy, Vol. 2, Issue 2 https://doi.org/10.1038/nenergy.2016.208	journal	January 2017
A robust synthetic data generation framework for machine learning in high-resolution transmission electron microscopy (HRTEM) Rangel DaCosta, Luis; Sytwu, Katherine; Groschner, C. K. npj Computational Materials, Vol. 10, Issue 1 https://doi.org/10.1038/s41524-024-01336-0	journal	July 2024
Size effects and active state formation of cobalt oxide nanoparticles during the oxygen evolution reaction Haase, Felix T.; Bergmann, Arno; Jones, Travis E. Nature Energy, Vol. 7, Issue 8 https://doi.org/10.1038/s41560-022-01083-w	journal	August 2022
Structure prediction drives materials discovery Oganov, Artem R.; Pickard, Chris J.; Zhu, Qiang Nature Reviews Materials, Vol. 4, Issue 5 https://doi.org/10.1038/s41578-019-0101-8	journal	April 2019
Design and synthesis of multigrain nanocrystals via geometric misfit strain Oh, Myoung Hwan; Cho, Min Gee; Chung, Dong Young Nature, Vol. 577, Issue 7790 https://doi.org/10.1038/s41586-019-1899-3	journal	January 2020
Deep learning for cellular image analysis Moen, Erick; Bannon, Dylan; Kudo, Takamasa Nature Methods, Vol. 16, Issue 12 https://doi.org/10.1038/s41592-019-0403-1	journal	May 2019
TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images Lin, Ruoqian; Zhang, Rui; Wang, Chunyang Scientific Reports, Vol. 11, Issue 1 https://doi.org/10.1038/s41598-021-84499-w	journal	March 2021
Classification and biological identity of complex nano shapes Boselli, Luca; Lopez, Hender; Zhang, Wei Communications Materials, Vol. 1, Issue 1 https://doi.org/10.1038/s43246-020-0033-2	journal	June 2020
The role of organic ligand shell structures in colloidal nanocrystal synthesis Calvin, Jason J.; Brewer, Amanda S.; Alivisatos, A. Paul Nature Synthesis, Vol. 1, Issue 2 https://doi.org/10.1038/s44160-022-00025-4	journal	February 2022
Single Crystalline Co3O4 Nanocrystals Exposed with Different Crystal Planes for Li-O2 Batteries Su, Dawei; Dou, Shixue; Wang, Guoxiu Scientific Reports, Vol. 4, Issue 1 https://doi.org/10.1038/srep05767	journal	August 2014
Automated analysis of transmission electron micrographs of metallic nanoparticles by machine learning Gumbiowski, Nina; Loza, Kateryna; Heggen, Marc Nanoscale Advances, Vol. 5, Issue 8, p. 2318-2326 https://doi.org/10.1039/D2NA00781A	journal	January 2023
Deep learning for automated size and shape analysis of nanoparticles in scanning electron microscopy Bals, Jonas; Epple, Matthias RSC Advances, Vol. 13, Issue 5 https://doi.org/10.1039/D2RA07812K	journal	January 2023
Materials cartography: A forward-looking perspective on materials representation and devising better maps Torrisi, Steven B.; Bazant, Martin Z.; Cohen, Alexander E. APL Machine Learning, Vol. 1, Issue 2 https://doi.org/10.1063/5.0149804	journal	June 2023
Autocatalytic surface reduction and its role in controlling seed-mediated growth of colloidal metal nanocrystals Yang, Tung-Han; Zhou, Shan; Gilroy, Kyle D. Proceedings of the National Academy of Sciences, Vol. 114, Issue 52 https://doi.org/10.1073/pnas.1713907114	journal	December 2017
A facile route to controlled synthesis of Co ₃ O ₄ nanoparticles and their environmental catalytic properties Dong, Yuming; He, Kun; Yin, Lin Nanotechnology, Vol. 18, Issue 43 https://doi.org/10.1088/0957-4484/18/43/435602	journal	September 2007
Statistical Determination of Atomic-Scale Characteristics of Au Nanocrystals Based on Correlative Multiscale Transmission Electron Microscopy Neumann, Stefan; Rezvani, Azita; Barasinski, Matthäus Microscopy and Microanalysis, Vol. 29, Issue 1 https://doi.org/10.1093/micmic/ozac027	journal	December 2022
Generalization Across Experimental Parameters in Neural Network Analysis of High-Resolution Transmission Electron Microscopy Datasets Sytwu, Katherine; Rangel DaCosta, Luis; Scott, Mary C. Microscopy and Microanalysis, Vol. 30, Issue 1 https://doi.org/10.1093/micmic/ozae001	journal	January 2024
Deep Residual Learning for Image Recognition He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) https://doi.org/10.1109/cvpr.2016.90	conference	June 2016
Corner-, edge-, and facet-controlled growth of nanocrystals Li, Yuanwei; Lin, Haixin; Zhou, Wenjie Science Advances, Vol. 7, Issue 3 https://doi.org/10.1126/sciadv.abf1410	journal	January 2021
Galvanic Replacement Reactions in Metal Oxide Nanocrystals Oh, M. H.; Yu, T.; Yu, S. -H. Science, Vol. 340, Issue 6135 https://doi.org/10.1126/science.1234751	journal	May 2013
Single-particle mapping of nonequilibrium nanocrystal transformations Ye, Xingchen; Jones, Matthew R.; Frechette, Layne B. Science, Vol. 354, Issue 6314 https://doi.org/10.1126/science.aah4434	journal	November 2016
High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery Yao, Yonggang; Dong, Qi; Brozena, Alexandra Science, Vol. 376, Issue 6589 https://doi.org/10.1126/science.abn3103	journal	April 2022

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