| 1. |
Szymanski, N. J.; Rendy, B.; Fei, Y.; Kumar, R. E.; He, T.; Milsted, D.; McDermott, M. J.; Gallant, M.; Cubuk, E. D.; Merchant, A.; Kim, H.; Jain, A.; Bartel, C. J.; Persson, K.; Zeng, Y.; Ceder, G. An autonomous laboratory for the accelerated synthesis of novel materials. Nature. 2023, 624, 86-91.
doi: 10.1038/s41586-023-06734-w
|
| 2. |
Leeman, J.; Liu, Y.; Stiles, J.; Lee, S.; Bhatt, P.; Schoop, L.; Palgrave, R. Challenges in high-throughput inorganic material prediction and autonomous synthesis. ChemRxiv. 2024. doi: 10.26434/chemrxiv-2024-5p9j4.
|
| 3. |
Jiang, Y.; Salley, D.; Sharma, A.; Keenan, G.; Mullin, M.; Cronin, L. An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials. Sci Adv. 2022, 8, eabo2626.
|
| 4. |
Grisoni, F.; Huisman, B. J. H.; Button, A. L.; Moret, M.; Atz, K.; Merk, D.; Schneider, G. Combining generative artificial intelligence and on-chip synthesis for de novo drug design. Sci Adv. 2021, 7, eabg3338.
|
| 5. |
Lutz, I. D.; Wang, S.; Norn, C.; Courbet, A.; Borst, A. J.; Zhao, Y. T.; Dosey, A.; Cao, L.; Xu, J.; Leaf, E. M.; Treichel, C.; Litvicov, P.; Li, Z.; Goodson, A. D.; Rivera-Sánchez, P.; Bratovianu, A. M.; Baek, M.; King, N. P.; Ruohola-Baker, H.; Baker, D. Top-down design of protein architectures with reinforcement learning. Science. 2023, 380, 266-273.
doi: 10.1126/science.adf6591
URL
|
| 6. |
Kavungal, D.; Magalhães, P.; Kumar, S. T.; Kolla, R.; Lashuel, H. A.; Altug, H. Artificial intelligence-coupled plasmonic infrared sensor for detection of structural protein biomarkers in neurodegenerative diseases. Sci Adv. 2023, 9, eadg9644.
|
), James T. Triffitt3,*(
