Joshua Schrier
Fordham University, Haverford College, Lawrence Berkeley National Laboratory
Papers
13
Total Citations
675
H-Index
8
About
Joshua Schrier is a pioneering computational and experimental chemist whose work sits at the dynamic intersection of machine learning, robotics, and materials discovery. Best known for his contributions to autonomous experimentation and self-driving laboratories, Schrier has helped define the frontier of AI-accelerated science. His most cited work, a 2021 community perspective on autonomous experimentation systems (352 citations), established foundational principles for the field and reflects his role as a unifying voice in this emerging discipline. A recurring focus of Schrier's research is metal halide perovskites — promising materials for solar cells and optoelectronics — where his RAPID and active learning frameworks have demonstrated how robotic platforms and data-driven methods can dramatically accelerate crystal discovery and dimensional control. His development of Sidekick, an open-source 3D-printed liquid dispensing robot, underscores his commitment to democratizing laboratory automation. Beyond materials synthesis, his work extends to nanocrystal luminescence optimization, rare-earth separations, and even undergraduate chemistry pedagogy, where he integrates automation into first-year coursework. Together, Schrier's publications paint the portrait of a researcher equally invested in scientific discovery, accessible instrumentation, and the next generation of chemists.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot-Accelerated Perovskite Investigation and Discovery179 citations · 2020
- 3Sidekick: A Low-Cost Open-Source 3D-printed liquid dispensing robot37 citations · 2022
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- 6Active Learning of Ligands That Enhance Perovskite Nanocrystal Luminescence14 citations · 2024
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