The machine learning revolution in materials? von Reyes, Kristofer G., Maruyama, Benji

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Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot von Epps, Robert W., Bowen, Michael S., Volk, Amanda A., Abdel‐Latif, Kameel, Han, Suyong, Reyes, Kristofer G., Amassian, Aram, Abolhasani, Milad

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Prediction of Nanoscale Friction for Two-Dimensional Materials Using a Machine Learning Approach von Sattari Baboukani, Behnoosh, Ye, Zhijiang, G. Reyes, Kristofer, Nalam, Prathima C.

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AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning von Volk, Amanda A., Epps, Robert W., Yonemoto, Daniel T., Masters, Benjamin S., Castellano, Felix N., Reyes, Kristofer G., Abolhasani, Milad

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Accelerated AI development for autonomous materials synthesis in flow von Epps, Robert W, Volk, Amanda A, Reyes, Kristofer G, Abolhasani, Milad

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Mathematical nuances of Gaussian process-driven autonomous experimentation von Noack, Marcus M., Reyes, Kristofer G.

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A Bayesian experimental autonomous researcher for mechanical design von Gongora, Aldair E, Xu, Bowen, Perry, Wyatt, Okoye, Chika, Riley, Patrick, Reyes, Kristofer G, Morgan, Elise F, Brown, Keith A

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Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels von Noack, Marcus M., Krishnan, Harinarayan, Risser, Mark D., Reyes, Kristofer G.

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Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow von Abdel-Latif, Kameel, Epps, Robert W., Bateni, Fazel, Han, Suyong, Reyes, Kristofer G., Abolhasani, Milad

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Decision-Making Under Uncertainty for Multi-stage Pipelines: Simulation Studies to Benchmark Screening Strategies von Reyes, Kristofer G., Liu, Jiaqian, Vargas, Carlos Juan Díaz

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Identifying Bayesian optimal experiments for uncertain biochemical pathway models von Isenberg, Natalie M., Mertins, Susan D., Yoon, Byung-Jun, Reyes, Kristofer G., Urban, Nathan M.

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Smart Dope: A Self‐Driving Fluidic Lab for Accelerated Development of Doped Perovskite Quantum Dots von Bateni, Fazel, Sadeghi, Sina, Orouji, Negin, Bennett, Jeffrey A., Punati, Venkat S., Stark, Christine, Wang, Junyu, Rosko, Michael C., Chen, Ou, Castellano, Felix N., Reyes, Kristofer G., Abolhasani, Milad

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Autonomous nanomanufacturing of lead-free metal halide perovskite nanocrystals using a self-driving fluidic lab von Sadeghi, Sina, Bateni, Fazel, Kim, Taekhoon, Son, Dae Yong, Bennett, Jeffrey A, Orouji, Negin, Punati, Venkat S, Stark, Christine, Cerra, Teagan D, Awad, Rami, Delgado-Licona, Fernando, Xu, Jinge, Mukhin, Nikolai, Dickerson, Hannah, Reyes, Kristofer G, Abolhasani, Milad

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Using simulation to accelerate autonomous experimentation: A case study using mechanics von Gongora, Aldair E., Snapp, Kelsey L., Whiting, Emily, Riley, Patrick, Reyes, Kristofer G., Morgan, Elise F., Brown, Keith A.

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Autonomous Nanocrystal Doping by Self‐Driving Fluidic Micro‐Processors von Bateni, Fazel, Epps, Robert W., Antami, Kameel, Dargis, Rokas, Bennett, Jeffery A., Reyes, Kristofer G., Abolhasani, Milad

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A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows von Pouchard, Line, Reyes, Kristofer G, Alexander, Francis J, Yoon, Byung-Jun

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Optimization of a novel biophysical model using large scale in vivo antisense hybridization data displays improved prediction capabilities of structurally accessible RNA regions von Vazquez-Anderson, Jorge, Mihailovic, Mia K, Baldridge, Kevin C, Reyes, Kristofer G, Haning, Katie, Cho, Seung Hee, Amador, Paul, Powell, Warren B, Contreras, Lydia M

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Perovskite Quantum Dots: Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot (Adv. Mater. 30/2020) von Epps, Robert W., Bowen, Michael S., Volk, Amanda A., Abdel‐Latif, Kameel, Han, Suyong, Reyes, Kristofer G., Amassian, Aram, Abolhasani, Milad

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Advanced machine learning decision policies for diameter control of carbon nanotubes von Rao, Rahul, Carpena-Núñez, Jennifer, Nikolaev, Pavel, Susner, Michael A., Reyes, Kristofer G., Maruyama, Benji

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Engineering Gelation Kinetics in Living Silk Hydrogels by Differential Dynamic Microscopy Microrheology and Machine Learning von Martineau, Rhett L., Bayles, Alexandra V., Hung, Chia‐Suei, Reyes, Kristofer G., Helgeson, Matthew E., Gupta, Maneesh K.

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