Tomoya Kojima
Assistant Professor (JSPS-PD)
Research Interests
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About
Tomoya Kojima is an Assistant Professor (JSPS-PD) at Tokyo University of Agriculture and Technology in Japan. His research focuses on supramolecular robotics and adaptive soft materials, as evidenced by his recent publications exploring programmed fabrication techniques, molecular modeling, and the engineering of responsive artificial tissues. He employs machine learning methodologies to investigate molecular self-assembly and the dynamic properties of materials under varying conditions.
Articles (10)
Year:
2025
Year:
2025
Year:
2025
Multicellular organisms demonstrate a hierarchical organization where multiple cells collectively form tissues, thereby enabling higher‐order cooperative functionalities beyond the capabilities of individual cells. Drawing inspiration from this biological organization, assemblies of multiple protocells are developed to create novel functional materials with emergent higher‐order cooperative functionalities. This paper presents new artificial tissues derived from multiple vesicles, which serve as protocellular models. These tissues are formed and manipulated through non‐covalent interactions triggered by a salt bridge. Exhibiting pH‐sensitive reversible formation and destruction under neutral conditions, these artificial vesicle tissues demonstrate three distinct higher‐order cooperative functionalities: transportation of large cargoes, photo‐induced contractions, and enhanced survivability against external threats. The rapid assembly and disassembly of these artificial tissues in response to pH variations enable controlled mechanical task performance. Additionally, the self‐healing property of these artificial tissues indicates robustness against external mechanical damage. The research suggests that these vesicles can detect specific pH environments and spontaneously assemble into artificial tissues with advanced functionalities. This leads to the possibility of developing intelligent materials with high environmental specificity, particularly for applications in soft robotics.
Year:
2024
Year:
2024
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2024
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2024
Year:
2023
Year:
2023
Year:
2023
Collaborators (3)
Taisuke Banno
-
Noriyoshi Arai
Associate Professor
Keio Gijuku Daigaku - Yagami Campus
Pierangelo Gobbo
University of Bristol
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