Self-driving laboratories in Japan

2025/01/01 by Naruki Yoshikawa, Yuki Asano, Don N. Futaba +20 · 2 voices · 2 citations
Decision Sciences · Computer Science · Psychology · #Personal Information Management and User Behavior #Online Learning and Analytics #Innovative Teaching and Learning Methods

paper · pdf · doi:10.1039/d4dd00387j

openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/07

Abstract

This perspective highlights the current state of self-driving laboratories (SDLs) in Japan. It also outlines how national funding, community collaboration, and industry support their growth, along with future directions.

Citations

• LLaMA: Open and Efficient Foundation Language Models
• Autonomous chemical research with large language models
• Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science
• A digital laboratory with a modular measurement system and standardized data format

Cited by

• Black-box optimization using factorization and Ising machines
• Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research

Discussions

• @narukiyoshikawa.bsky.social et al. contribute a featured Perspective article on self driving labs research in Japan. This overview encompasses the combined efforts of national funding, community coll [bsky, 4 points, 0 comments]
• 🇯🇵 New Paper Alert! 🇯🇵 Our Perspective article "Self-driving laboratories in Japan" is now published in Digital Discovery! 🔗 doi.org/10.1039/D4DD... If you're interested in how Japan is advanc [bsky, 1 points, 0 comments]

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