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RESEARCH PAPER · Matter · 2023

An artificial intelligence’s interpretation of complex high-resolution in situ transmission electron microscopy data

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15 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

An artificial intelligence’s interpretation of complex high-resolution in situ transmission electron microscopy dataOriginalA 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence40Capecitabine loaded potato starch-chitosan nanoparticles: A novel approach for targeted therapy and improved outcomes in aggressive colon cancer13Strategies for high performance characterization of nanomaterials using in situ liquid cell transmission electron microscopy11Integrative Approaches to Reveal Catalyst Dynamics: Bridging Operando Techniques, Theory, and Artificial Intelligence15Precision nanoscience aided by multimodal observations0AI for Transmission Electron Microscopy4Pixels to properties0Transforming TEM Adaptiveness for Transformative Materials Development0AI‐Driven Big Data Frameworks for Electrode–Electrolyte Interphases in Batteries28Semi-supervised spatiotemporal segmentation of in situ transmission electron microscopy for nanoparticle dynamics0Unlocking anode-free battery performance: AI-enhanced electron microscopy for deciphering layered cathode interfaces0Evaluating Pt Nanoparticle Electrocatalyst Stability on Corrosion Free Carbon Supports Using Identical Location TEM0Fiber-optic spectroscopy with machine learning-based analysis for skin oxygen saturation assessment0Learning continuous neural representations enables scalable and high-fidelity electron microscopy0Variational Auto Encoder for automated structure segmentation of materials0

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  1. A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

    Materials · 2024-02-27

    Fernando Gomes de Souza, Shekhar Bhansali, Kaushik Pal, Fabíola da Silveira Maranhão, Marcella Santos Oliveira, Viviane Silva Valladão, Daniele Silvéria Brandão e Silva, Gabriel Bezerra Silva

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  2. Capecitabine loaded potato starch-chitosan nanoparticles: A novel approach for targeted therapy and improved outcomes in aggressive colon cancer

    European Journal of Pharmaceutics and Biopharmaceutics · 2024-05-17

    Sankha Bhattacharya, Amit B. Page, Prafull Shinde

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  3. Strategies for high performance characterization of nanomaterials using in situ liquid cell transmission electron microscopy

    Next Nanotechnology · 2024-10-31

    Honglin Lv, Wei Si, Jingjie Sha, Yunfei Chen, Yin Zhang

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  4. Integrative Approaches to Reveal Catalyst Dynamics: Bridging Operando Techniques, Theory, and Artificial Intelligence

    ACS Nano · 2025-10-16

    Tae Hyung Lee, Serin Lee, Lin Yuan, Jennifer A. Dionne, Jungwon Park

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  5. Precision nanoscience aided by multimodal observations

    MRS Bulletin · 2025-10-23

    Shengsong Yang, Chang Liu, Sungsu Kang, Amanda S. Brewer, Gregory S. Girolami, Maria K. Y. Chan, Robert F. Klie, Qian Chen, Jiwoong Park, A. Paul Alivisatos

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  6. AI for Transmission Electron Microscopy

    Photon Science · 2025-12-23

    Yangfan Li, Mengshu Ge, Xiaozhi Liu, Dong Su

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  7. Pixels to properties

    Elsevier eBooks · 2026-01-01

    Krishna Rajan

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  8. Transforming TEM Adaptiveness for Transformative Materials Development

    ENGINEERING Transformative Materials · 2026-01-01

    Yi‐Chi Wang, Lin Gu

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  9. AI‐Driven Big Data Frameworks for Electrode–Electrolyte Interphases in Batteries

    Advanced Materials · 2026-01-10

    Abdullah Bin Faheem, Zengyu Han, Dongshuang Wu, Haobo Li

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  10. Semi-supervised spatiotemporal segmentation of in situ transmission electron microscopy for nanoparticle dynamics

    Materials Today Physics · 2026-01-28

    Manpreet Kaur, Ali Ebadi, Xingying Zhang, Huanjing Liu, Cheng-Yu Chen, Eric A. Stach, Qian Liu

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  11. Unlocking anode-free battery performance: AI-enhanced electron microscopy for deciphering layered cathode interfaces

    Energy storage materials · 2026-04-12

    Xianqi Wu, Jiaming Ren, Xingyu Zhang, Febri Baskoro, Yicheng Tang, Junlei Xiang, Nayoung Jeon, Juyeong Kim, Ningyan Cheng, Binghui Ge, Afriyanti Sumboja, Woo Haw Jiunn, Jianhai Pan, Zhefei Sun, Jianwei Gu, Insung Han, Junfu Duan, Wenfei Yin, Yu Yao, Shoucong Ning, Qiaobao Zhang, Xiaohui Song

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  12. Evaluating Pt Nanoparticle Electrocatalyst Stability on Corrosion Free Carbon Supports Using Identical Location TEM

    Small · 2026-07-24

    Daniel Houghton, Yisong Han, Richard Beanland, Louis Godeffroy, Frédéric Kanoufi, Viacheslav Shkirskiy, Jonathan D. B. Sharman, Julie V. Macpherson

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  13. Fiber-optic spectroscopy with machine learning-based analysis for skin oxygen saturation assessment

    Matter & Light · 2026-08-24

    Hongtao Zhou, Yusen Hou, Bin Yu, Xiaohua Hu, Yungang Hu, Yingchao Ma, Hui Chen, Yapei Wang

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  14. Learning continuous neural representations enables scalable and high-fidelity electron microscopy

    Cell Reports Physical Science · 2026-09-01

    Lin Li, Feng Zhu, Zipei Yan, Cheng Zhang, Li Zeng, Xiang Zhou, Fu-Rong Chen, Xiaoyan Zhong, Jizhou Li

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  15. Variational Auto Encoder for automated structure segmentation of materials

    Journal of Analytical Science & Technology · 2026-10-06

    Woonbae Sohn, Taekyung Kim, Cheon Woo Moon, Dongbin Shin, Yeji Park, Haneul Jin, Minseo Choi, Seung-Wook Baek, Hyeokjun Park, Hionsuck Baik

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