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RESEARCH PAPER · Nature Communications · 2024

Using scalable computer vision to automate high-throughput semiconductor characterization

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42 direct citing works

Using scalable computer vision to automate high-throughput semiconductor characterizationOriginalFast and vast: An upscaled materials acceleration platform for sustainable hydrogen1Archerfish: a retrofitted 3D printer for high-throughput combinatorial experimentation via continuous printing10Automated Research Platform for Development of Triplet–Triplet Annihilation Photon Upconversion Systems16Engineering principles for self-driving laboratories14Unlocking a self-driving research workflow for perovskite photovoltaics12Artificial Intelligence‐Driven Approaches in Semiconductor Research44Transferable polychromatic optical encoder for neural networks20A self-supervised robotic system for autonomous contact-based spatial mapping of semiconductor properties5Machine-Learning-Driven in-Device Optimization of All-Printed Perovskite Solar Cells8Bio-hydrovoltaic technology: advancing from non-living to living hydrovoltaic systems25Learning the flow from the get-go0High-throughput micro-scale bandgap mapping for perovskite-inspired materials with complex composition space8Predicting Trends in V OC Through Rapid, Multimodal Characterization of State-of-the-Art p-i-n Perovskite Devices0Accurate determination of the band gap energy of non-translucent semiconductor materials through the Tauc method: Theoretical framework, limitations, technical hints, and automated algorithms30Closed-loop robotic manipulation of transparent substrates for self-driving laboratories using deep learning micro-error correction0Non-equilibrium crystallization and spatial fingerprints in flash IR-annealed halide perovskite films0Enhance piezoelectric response of flexible PVDF/BaTiO3/MoS2 nanocomposite for human physiological sensing, energy conversion and wireless control3Uncovering crystal structure evolution via nanobeam X-ray diffraction with a continuity-driven machine learning approach0Accelerating Perovskite Solar Cell Development Through High‐Throughput Technologies: Computational Simulation, Automated Experimentation, and Intelligent Integration0Application and challenges of artificial intelligence technology in ODS steel research: A review0

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  1. Fast and vast: An upscaled materials acceleration platform for sustainable hydrogen

    Matter · 2024-08-01

    Linfeng Pan, Samuel D. Stranks

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  2. Archerfish: a retrofitted 3D printer for high-throughput combinatorial experimentation via continuous printing

    Digital Discovery · 2025-01-01

    Alexander E. Siemenn, Basita Das, Eunice Aissi, Fang Sheng, Lleyton Elliott, Blake Hudspeth, Marilyn Meyers, James Serdy, Tonio Buonassisi

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  3. Automated Research Platform for Development of Triplet–Triplet Annihilation Photon Upconversion Systems

    ACS Central Science · 2025-02-21

    Paulius Baronas, Justas Lekavičius, Maciej Majdecki, Jacob Lynge Elholm, Karolis Kazlauskas, Przemysław Gaweł, Kasper Moth‐Poulsen

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  4. Engineering principles for self-driving laboratories

    Nature Chemical Engineering · 2025-05-16

    Fernando Delgado‐Licona, Daniel Addington, Abdulrahman Alsaiari, Milad Abolhasani

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  5. Unlocking a self-driving research workflow for perovskite photovoltaics

    Matter · 2025-06-01

    Lifang Xie, Yalan Zhang, Noah Peterkes, Xiao‐Fen Li, Yike Guo, Yuanyuan Zhou

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  6. Artificial Intelligence‐Driven Approaches in Semiconductor Research

    Advanced Materials · 2025-06-19

    Yanping Zheng, Hao Xu, Zhexin Li, Linlin Li, Yongchao Yu, Pengfei Jiang, Yanmeng Shi, Jing Zhang, Yuqing Huang, Qing Luo, Zheng Lou, Lili Wang

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  7. Transferable polychromatic optical encoder for neural networks

    Nature Communications · 2025-07-01

    Minho Choi, Jinlin Xiang, Anna Wirth-Singh, Seung‐Hwan Baek, Eli Shlizerman, Arka Majumdar

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  8. A self-supervised robotic system for autonomous contact-based spatial mapping of semiconductor properties

    Science Advances · 2025-07-04

    Alexander E. Siemenn, Basita Das, Kangyu Ji, Fang Sheng, Tonio Buonassisi

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  9. Machine-Learning-Driven in-Device Optimization of All-Printed Perovskite Solar Cells

    ACS Energy Letters · 2025-07-23

    Emha Bayu Miftahullatif, Shreyas Dinesh Pethe, Andre K. Y. Low, Ayan A. Zhumekenov, Natalia Yantara, Priyanka Kajal, Qinjie Wu, Darrell Jun Jie Tay, Divyam Sharma, Saumya Sebastian, Jose Recatala‐Gomez, Abhishek Nambiar, Nripan Mathews, Kedar Hippalgaonkar

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  10. Bio-hydrovoltaic technology: advancing from non-living to living hydrovoltaic systems

    National Science Review · 2025-08-02

    Qichang Hu, Xiuyu Lin, Guoping Ren, Shungui Zhou

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  11. Learning the flow from the get-go

    Nature Chemical Engineering · 2025-08-06

    Mahshid Ahmadi, Sergei V. Kalinin

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  12. High-throughput micro-scale bandgap mapping for perovskite-inspired materials with complex composition space

    Nature Communications · 2025-08-12

    Fang Sheng, Kangyu Ji, Linjie Dai, Alexander E. Siemenn, Eunice Aissi, Hamide Kavak, Basita Das, Tianran Liu, Shijing Sun, Tonio Buonassisi

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  13. Predicting Trends in V OC Through Rapid, Multimodal Characterization of State-of-the-Art p-i-n Perovskite Devices

    ACS Energy Letters · 2025-11-07

    Amy E. Louks, Brandon T. Motes, Anthony T. Troupe, Axel F. Palmstrom, Minhal Hasham, Zhaoyang Han, Qi Jiang, Joseph J. Berry, Dane W. deQuilettes

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  14. Accurate determination of the band gap energy of non-translucent semiconductor materials through the Tauc method: Theoretical framework, limitations, technical hints, and automated algorithms

    Next Materials · 2025-11-12

    Alejandro Escobedo-Morales, M.S. Pedraza-Chan, I.I. Ruiz-López, Ernesto Chigo Anota, Martin Salazar Villanueva, Diego Cortés‐Arriagada

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  15. Closed-loop robotic manipulation of transparent substrates for self-driving laboratories using deep learning micro-error correction

    Digital Discovery · 2026-01-01

    Kelsey Fontenot, Anjali Gorti, Iva Goel, Tonio Buonassisi, Alexander E. Siemenn

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  16. Non-equilibrium crystallization and spatial fingerprints in flash IR-annealed halide perovskite films

    Materials Horizons · 2026-01-01

    Ornella Vaccarelli, Tiziano Agostino Caldara, Christophe Gisler, Jean Hennebert, Sandy Sánchez

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  17. Enhance piezoelectric response of flexible PVDF/BaTiO3/MoS2 nanocomposite for human physiological sensing, energy conversion and wireless control

    Materials Research Bulletin · 2026-01-23

    Pawan Arunkumar Upadhye, Jhulan Kumar, Harsh Bansal, Vanish Kumar, Sudip Mondal, Junghwan Oh, Mrinmoy Misra

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  18. Uncovering crystal structure evolution via nanobeam X-ray diffraction with a continuity-driven machine learning approach

    Materials & Design · 2026-02-15

    Z.Y. Wu, Tetsuya Tohei, Yusuke Hayashi, Shigeyoshi Usami, Masayuki Imanishi, Yusuke Mori, Junichi Takino, Kazushi Sumitani, Yasuhiko Imai, Shigeru Kimura, Akira Sakai

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  19. Accelerating Perovskite Solar Cell Development Through High‐Throughput Technologies: Computational Simulation, Automated Experimentation, and Intelligent Integration

    Battery energy · 2026-05-28

    Yiming Wang, Ziwei Du, Yuehua Chen, Yicheng Qiu, Dong Yan, Bo Hou

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  20. Application and challenges of artificial intelligence technology in ODS steel research: A review

    Review of Materials Research · 2026-06-01

    Yuanchen Su, Conghui Zhang, Shuaiyang Liu, Wenguang Zhu

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