Bruno C. Batista
Universidade Estadual de Campinas (UNICAMP), Florida State University
Papers
3
Total Citations
25
H-Index
3
About
Bruno C. Batista is a researcher at the intersection of mechanochemistry, soft matter physics, and high-throughput analytical methods. His work explores how mechanical forces drive chemical transformations and how simple physical phenomena—like the patterns left by evaporating drops—can be turned into powerful sensing tools. Batista’s most cited paper, “Mechanochemical transduction and hygroelectricity in periodically stretched rubber” (2019, 13 citations), investigates how stretching rubber generates electrical signals and drives chemical reactions, opening new avenues for energy harvesting and responsive materials. He is also pioneering low-cost, image-based chemical analysis. In a landmark 2025 study (9 citations), Batista developed a robotic drop imager that captured over 23,000 images of dried salt stains, training a machine learning model to identify salt type and concentration with >90% accuracy. He extended this approach to water hardness detection (3 citations), using reporter salts to quantify calcium and magnesium levels from simple photographs—a method that could replace expensive lab equipment in field settings. Batista’s work demonstrates how combining robotics, machine learning, and fundamental physics can create accessible, scalable solutions for environmental monitoring and materials science.
Research Focus
Key Achievements
Top Papers
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