Daniil Bash
Papers
2
Total Citations
25
H-Index
2
About
Daniil Bash is a researcher at the forefront of automated materials science, specializing in high-throughput experimentation and robotic laboratory workflows. His work bridges the gap between advanced materials synthesis and intelligent automation, with a primary focus on optimizing the processing and characterization of graphene-based composites. Bash’s major contributions include the development of a fully automated screening platform for viscous graphene suspensions, where a robotic system produced 288 unique drop-cast films. By integrating computer-vision detection with automated thickness and conductivity measurements, his approach slashed human intervention to just 17% of the total workflow, dramatically accelerating the discovery of optimal surfactant formulations for electrical conductivity. This work has garnered 14 citations. Additionally, Bash engineered a proxy high-throughput viscometer using an automated pipetting robot, enabling rapid viscosity measurements of Newtonian fluids in the 1500–12 000 cP range—a method that has earned 11 citations. His achievements demonstrate a powerful vision for autonomous materials discovery, where robotics and machine vision replace tedious manual steps, paving the way for faster, more reproducible experimentation in soft matter and nanotechnology.
Research Focus
Key Achievements
Top Papers
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