Benjamin P. MacLeod
Papers
2
Total Citations
91
H-Index
2
About
Benjamin P. MacLeod is a leading researcher in the field of autonomous materials discovery, pioneering the development of self-driving laboratories to radically accelerate the pace of scientific innovation. His work centers on integrating robotics, machine learning, and experimental design to create fully autonomous systems that can discover and optimize novel materials with minimal human intervention. MacLeod’s major contributions include the creation of two landmark self-driving laboratories: one for the rapid discovery of adhesive materials (2022, 48 citations) and another for accelerating the discovery of thin-film materials for clean energy applications (2020, 43 citations). These systems combine robotic platforms for preparing and testing materials with intelligent optimizers that iteratively design, execute, and learn from experiments in a closed loop. By demonstrating that self-driving laboratories can compress what traditionally takes over a decade into a fraction of the time, MacLeod’s work is transforming how we approach materials science, offering a powerful new paradigm for discovering commercially viable solutions for energy, manufacturing, and beyond.
Research Focus
Key Achievements
Top Papers
- 1
- 2Self-driving laboratory for accelerated discovery of thin-film materials43 citations · 2020