Skreta, Marta

Self-Driving Laboratories for Chemistry and Materials Science

Tom, G., Schmid, S. P., Baird, S. G., Cao, Y., Darvish, K., Hao, H., Lo, S., Pablo-García, S., Rajaonson, E. M., Skreta, M., et al. (2024) · Chemical Reviews

Machine Learning in Materials ScienceVarious Chemistry Research Topics

Cited by 707

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

Darvish, K., Skreta, M., Zhao, Y., Yoshikawa, N., Som, S., Bogdanovic, M., Cao, Y., Hao, H., Xu, H., Aspuru-Guzik, A., et al. (2024) · arXiv

Various Chemistry Research TopicsRobotics and Automated Systems

Cited by 133

Large language models for chemistry robotics

Yoshikawa, N., Skreta, M., Darvish, K., Arellano-Rubach, S., Ji, Z., Bjørn Kristensen, L., Li, A. Z., Zhao, Y., Xu, H., Kuramshin, A., et al. (2023) · Autonomous Robots

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 112

The silent trial - the bridge between bench-to-bedside clinical AI applications

Kwong, J. C. C., Erdman, L., Khondker, A., Skreta, M., Goldenberg, A., McCradden, M. D., Lorenzo, A. J., & Rickard, M. (2022) · Frontiers in Digital Health

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 73

Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting

Skreta, M., Yoshikawa, N., Arellano-Rubach, S., Ji, Z., Kristensen, L. B., Darvish, K., Aspuru-Guzik, A., Shkurti, F., & Garg, A. (2023) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 18