Structural evolution of millisecond laser-induced metastable crystalline GeTe by Recatala-Gomez, Jose, Li, Yun, Nur Qalishah Adanan, Ghosh, Biplab, Dai, Haiwen, Bai, Yang, Zhang, Chenguang, Morris, Samuel Alexander, Jin, Zavier Goh You, Zhai, Wenhao, Mass, Tobias W. W., Kumar, Pawan, Wei, Fengxia, Thway, Maung, Rafikul Ali Saha, Solano, Eduardo, Rosenthal, Martin, Roeffaers, Maarten, Kirby, Nigel, Miłogrodzka, Izabela, Simpson, Robert E., Tan, Kwan Wee, Hippalgaonkar, Kedar

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High‐throughput experimental techniques for corrosion research: A review by Chenhao Ren, Lingwei Ma, Dawei Zhang, Xiaogang Li, Arjan Mol

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An experimentally driven high-throughput approach to design refractory high-entropy alloys by Chanho Lee, Dongyue Xie, Benjamin Kyle Derby, Jon Kevin Baldwin, Christopher Tandoc, Osman EI Atwani, Yong-Jie Hu, James A. Valdez, Nan Li, Saryu J. Fensin

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Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning by Zijun Qin, Zi Wang, Yunqiang Wang, Lina Zhang, Weifu Li, Jin Liu, Zexin Wang, Zihang Li, Jun Pan, Lei Zhao, Feng Liu, Liming Tan, Jianxin Wang, Hua Han, Liang Jiang, Yong Liu

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Editorial: Combining machine learning, computational modeling, and high throughput experimentation to accelerate discovery in systems microbiology by Miguel Fuentes-Cabrera, Paolo Zuliani, Bowen Li, Jared L. Wilmoth, Aivett Bilbao, Alice C. Dohnalkova

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A regression model approach to enable cell morphology correction in high‐throughput flow cytometry by Theo A Knijnenburg, Oriol Roda, Yakun Wan, Garry P Nolan, John D Aitchison, Ilya Shmulevich

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Mamba: a systematic software solution for beamline experiments at HEPS by Yu Liu, Yan-Da Geng, Xiao-Xue Bi, Xiang Li, Ye Tao, Jian-She Cao, Yu-Hui Dong, Yi Zhang

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Machine Learning Descriptors for Data‐Driven Catalysis Study by Li‐Hui Mou, TianTian Han, Pieter E. S. Smith, Edward Sharman, Jun Jiang

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Accurate prediction of functional effect of single amino acid variants with deep learning by Houssemeddine Derbel, Zhongming Zhao, Qian Liu

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Model-based catalyst screening and optimal experimental design for the oxidative coupling of methane by Anjana Puliyanda

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Investigation of the optimum preheating treatment parameters for extruded Mg–Gd–Y–Zn–Zr alloy using high-throughput experiments by Liang Liu, Bei-Bei Dong, Mei Cheng, Yong Xue, Zhi-Min Zhang

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Unveiling processing–property relationships in laser powder bed fusion: The synergy of machine learning and high-throughput experiments by Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, Lorenzo Valdevit, Ramin Bostanabad

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A deep neural network for oxidative coupling of methane trained on high-throughput experimental data by Klea Ziu, Ruben Solozabal, Srinivas Rangarajan, Martin Takáč

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A screening strategy for hot forging combining high-throughput forging experiment and machine learning by Zhiren Sun, Kaikun Wang

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Coupling mixture designs, high-throughput experiments and machine learning for accelerated exploration of multinary systems by Elise Garel, Jean-Luc Parouty, Hugo Van Landeghem, Marc Verdier, Florence Robaut, Stéphane Coindeau, Raphaël Boichot

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Exploring new useful phosphors by combining experiments with machine learning by Takashi Takeda, Yukinori Koyama, Hidekazu Ikeno, Satoru Matsuishi, Naoto Hirosaki

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Charge–discharge properties of LiMn2O4-group positive electrode active materials for lithium-ion batteries using high-throughput experimental screening and machine learning models... by Shin Tajima, Mitsutaro Umehara, Kensuke Takechi

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A high-throughput big-data orchestration and processing system for the High Energy Photon Source by Xiang Li, Yi Zhang, Yu Liu, Pengcheng Li, Hao Hu, Liwen Wang, Ping He, Yuhui Dong, Chenglong Zhang

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Rechargeable Lithium-Air Batteries with Practically High Energy Density by Shoichi MATSUDA

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On the application of high‐throughput experimentation and data‐driven approaches in metallic glasses by Weijie Xie, Weihua Wang, Yanhui Liu

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