Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs by Low, Andre Kai Yuan, Mekki-Berrada, Flore, Gupta, Abhishek, Ostudin, Aleksandr, Xie, Jiaxun, Vissol-Gaudin, Eleonore, Lim, Yee-Fun, Li, Qianxiao, Ong, Yew Soon, Khan, Saif A., Hippalgaonkar, Kedar

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Two-step machine learning enables optimized nanoparticle synthesis by Mekki-Berrada, Flore, Ren, Zekun, Huang, Tan, Wong, Wai Kuan, Zheng, Fang, Xie, Jiaxun, Tian, Isaac Parker Siyu, Jayavelu, Senthilnath, Mahfoud, Zackaria, Bash, Daniil, Hippalgaonkar, Kedar, Khan, Saif, Buonassisi, Tonio, Li, Qianxiao, Wang, Xiaonan

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Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains by Liang, Qiaohao, Gongora, Aldair E, Ren, Zekun, Tiihonen, Armi, Liu, Zhe, Sun, Shijing, Deneault, James R, Bash, Daniil, Mekki-Berrada, Flore, Khan, Saif A, Hippalgaonkar, Kedar, Maruyama, Benji, Brown, Keith A, Fisher III, John, Buonassisi, Tonio

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Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites by Bash, Daniil, Cai, Yongqiang, Chellappan, Vijila, Wong, Swee Liang, Yang, Xu, Kumar, Pawan, Tan, Jin Da, Abutaha, Anas, Cheng, Jayce JW, Lim, Yee‐Fun, Tian, Siyu Isaac Parker, Ren, Zekun, Mekki‐Berrada, Flore, Wong, Wai Kuan, Xie, Jiaxun, Kumar, Jatin, Khan, Saif A, Li, Qianxao, Buonassisi, Tonio, Hippalgaonkar, Kedar

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