Papers
2
Total Citations
382
H-Index
2
About
Michael Krein is a pioneering researcher at the intersection of artificial intelligence and materials science, best known for advancing autonomous experimentation in materials discovery. His seminal 2016 paper, "Autonomy in materials research: a case study in carbon nanotube growth," has garnered 377 citations, establishing a foundational framework for self-driving laboratories that integrate machine learning with robotic synthesis. This work demonstrated how autonomous systems could accelerate the optimization of carbon nanotube growth parameters, dramatically reducing the human effort required in iterative experimental cycles. Krein’s contributions have helped catalyze a paradigm shift toward closed-loop, AI-driven materials research, enabling faster identification of novel materials with tailored properties. Earlier in his career, he explored predictive cheminformatics and statistical modeling for drug discovery, as reflected in his 2012 work on micro-array and gene expression data analysis. By bridging computational modeling with experimental validation, Krein has become a key figure in the movement to automate and accelerate materials innovation, inspiring a new generation of researchers to rethink traditional laboratory workflows.
Research Focus
Key Achievements
Top Papers
- 1Autonomy in materials research: a case study in carbon nanotube growth377 citations · 2016
- 2