Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science

The automation of materials design has emerged as a key focus in the field of materials science. The advent of materials informatics marked an important step toward this goal, utilizing data-driven approaches to accelerate the discovery and optimization of materials. However, the adoption of robotic systems for automated synthesis has been relatively gradual, influenced by the technical challenges and complexity of implementation. Here, the development of FLUID, an open-source, 3D-printed robotic platform for material synthesis, is presented. FLUID provides a comprehensive blueprint for both hardware and software, enabling accessible and customizable automation for a broad range of researchers. The system’s performance is experimentally validated through the materials synthesis, demonstrating its capability and flexibility. This approach aims to democratize automation in material synthesis, providing researchers with a practical, cost-effective solution to accelerate innovation in materials science.

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Publication Details

Journal
ACS Applied Engineering Materials
Published
2025-04-08
DOI
https://doi.org/10.1021/acsaenm.5c00084
Citations
4
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
2.07

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article

Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science

Lauren Takahashi, Satoshi Maeda, Fernando Garcia‐Escobar, Keisuke Takahashi et al.
4 citations
ACS Applied Engineering Materials
Machine Learning in Materials Science
2.07
article

Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science

Lauren Takahashi, Satoshi Maeda, Fernando Garcia‐Escobar, Keisuke Takahashi, Micke Kuwahara, Yoshiki Hasukawa
article en
4 citations

Abstract

The automation of materials design has emerged as a key focus in the field of materials science. The advent of materials informatics marked an important step toward this goal, utilizing data-driven approaches to accelerate the discovery and optimization of materials. However, the adoption of robotic systems for automated synthesis has been relatively gradual, influenced by the technical challenges and complexity of implementation. Here, the development of FLUID, an open-source, 3D-printed robotic platform for material synthesis, is presented. FLUID provides a comprehensive blueprint for both hardware and software, enabling accessible and customizable automation for a broad range of researchers. The system’s performance is experimentally validated through the materials synthesis, demonstrating its capability and flexibility. This approach aims to democratize automation in material synthesis, providing researchers with a practical, cost-effective solution to accelerate innovation in materials science.

ACS Applied Engineering MaterialsVol. 3(4)
Hokkaido University (JP)
Japan Society for the Promotion of Science, Precursory Research for Embryonic Science and Technology, Exploratory Research for Advanced Technology, JST-Mirai Program
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Machine Learning in Materials Science
2.07
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Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science — Lauren Takahashi, Satoshi Maeda, et al. · ACS Applied Engineering Materials (2025) | TGRS Research Map | TGRS