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RESEARCH PAPER · Digital Discovery · 2023

An open-source environmental chamber for materials-stability testing using an optical proxy

Rodolfo Keesey, Armi Tiihonen, Alexander E. Siemenn, Thomas William Colburn, Shijing Sun, Noor Titan Putri Hartono, James Serdy, Margaret Zeile, He Keqing, Cole A. Gurtner, Austin C. Flick, Clio Batali, Alex Encinas, Richa R. Naik, Zhe Liu, Felipe Oviedo, Ian Marius Peters, Janak Thapa, Siyu Isaac Parker Tian, Reinhold Horst Dauskardt, Alexander J. Norquist, Tonio Buonassisi

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

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An open-source environmental chamber for materials-stability testing using an optical proxyOriginalWhat is missing in autonomous discovery: open challenges for the community44Vision-driven Autocharacterization of Perovskite Semiconductors0Materials cartography: A forward-looking perspective on materials representation and devising better maps13High-Throughput Multi-Scale Experiments to Probe the Stability of Metal Halide Perovskites11Advancing high-throughput combinatorial aging studies of hybrid perovskite thin films via precise automated characterization methods and machine learning assisted analysis14Colour based identification and sorting of industrial items using labview1Guidelines for hardware-focused articles2Using scalable computer vision to automate high-throughput semiconductor characterization20Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset24Accelerating optimization of halide perovskites: two blueprints for automation2Unlocking a self-driving research workflow for perovskite photovoltaics12Electrolyte design strategies for next-generation supercapacitors and metal-ion batteries11Design and verification of a high stability environmental chamber with temperature and humidity controlled for the use of precise instruments1

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  1. What is missing in autonomous discovery: open challenges for the community

    Digital Discovery · 2023-01-01

    Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben J. Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion Cohen, Rebecca L. Davis, Ian T Foster, Navid Haghmoradi, Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi, Shijing Sun

    Read original paper ↗ ·

  2. Vision-driven Autocharacterization of Perovskite Semiconductors

    ChemRxiv · 2023-04-27

    Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi

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  3. Materials cartography: A forward-looking perspective on materials representation and devising better maps

    APL Machine Learning · 2023-06-01

    Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, Min Gee Cho, Jens S. Hummelshøj, Linda Hung, Gaurav Ashish Kamat, Arash Khajeh, Adeesh Kolluru, Xiangyun Lei, Handong Ling, Joseph H. Montoya, Tim Mueller, Aini Palizhati, Benjamin Paren, Brandon K. Phan, Jacob Pietryga, Elodie Sandraz, Daniel Schweigert, Yang Shao‐Horn, Amalie Trewartha, Ruijie Zhu, Debbie Zhuang, Shijing Sun

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  4. High-Throughput Multi-Scale Experiments to Probe the Stability of Metal Halide Perovskites

    ACS Energy Letters · 2023-12-19

    Yalan Zhang, Yuanyuan Zhou

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  5. Advancing high-throughput combinatorial aging studies of hybrid perovskite thin films via precise automated characterization methods and machine learning assisted analysis

    Journal of Materials Chemistry A · 2024-01-01

    Alexander Wieczorek, Austin G. Kuba, Jan Sommerhäuser, Luis Nicklaus Caceres, Christian M. Wolff, Sebastian Siol

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  6. Colour based identification and sorting of industrial items using labview

    ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) · 2024-01-01

    Badri Narayan Mohapatra

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  7. Guidelines for hardware-focused articles

    Digital Discovery · 2024-01-01

    Jason E. Hein, Joshua Schrier

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  8. Using scalable computer vision to automate high-throughput semiconductor characterization

    Nature Communications · 2024-06-11

    Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi

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  9. Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset

    Scientific Data · 2024-07-03

    Aniket Chitre, Robert C. M. Querimit, Simon D. Rihm, Dogancan Karan, Benchuan Zhu, Ke Wang, Long Wang, Kedar Hippalgaonkar, Alexei A. Lapkin

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  10. Accelerating optimization of halide perovskites: two blueprints for automation

    Digital Discovery · 2025-01-01

    Hilal Aybike Can, Daniel Anthony Jacobs, Nicolas Fürst, Christophe Ballif, Christian M. Wolff

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  11. 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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  12. Electrolyte design strategies for next-generation supercapacitors and metal-ion batteries

    Emergent Materials · 2025-11-18

    Xuexue Pan, Wenkai Li, Xiaoting Lai, Yongqi Liang, Zicheng Jiang, Xiaoling Luo, Rong Hu

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  13. Design and verification of a high stability environmental chamber with temperature and humidity controlled for the use of precise instruments

    Sensors and Actuators A Physical · 2026-03-19

    Kai Jiang, Shao-Hua Ma, Zhuang-Zhi Zhao, Zhen-Ying Cheng, Qiaosheng Pan, Rui-Jun Li

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