Yoshikawa, Naruki

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

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

Multi-objective optimization for designing structurally similar proteins with dissimilar sequences

Akiba, R., Moriwaki, Y., Ishitani, R., & Yoshikawa, N. (2026) · Science and Technology of Advanced Materials: Methods

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 1

Multi-objective optimization for designing structurally similar proteins with diverse sequences

Akiba, R., Moriwaki, Y., Ishitani, R., & Yoshikawa, N. (2025) · Science and Technology of Advanced Materials Methods

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 1