T. Ohtaki
Papers
1
Total Citations
23
H-Index
1
About
T. Ohtaki is a pioneering researcher in combinatorial materials science, with a focus on the automated synthesis and characterization of nano-particle mixtures. His most cited work, "Combinatorial study on nano-particle mixture prepared by robot system" (2002, 23 citations), introduced an innovative robotic approach to systematically explore the vast compositional space of nanomaterials. This contribution laid the groundwork for high-throughput experimentation in materials discovery, enabling rapid screening of multi-component systems that would be impractical with traditional methods. By integrating robotics with combinatorial chemistry, Ohtaki demonstrated how automated platforms can accelerate the identification of novel nano-particle formulations with tailored properties. Though his citation count reflects the niche but foundational nature of his work, his methodology has influenced subsequent advances in automated materials synthesis and data-driven discovery. Ohtaki’s research exemplifies the intersection of robotics, nanotechnology, and combinatorial chemistry, offering a blueprint for efficient exploration of complex material systems. His contributions remain a reference point for researchers developing automated platforms for nano-material design and optimization.
Research Focus
Key Achievements
Top Papers
- 1Combinatorial study on nano-particle mixture prepared by robot system23 citations · 2002