When
3:30 – 4:30 p.m., Jan. 12, 2023
Where
Image
![photo of Martin Seifrid](/sites/default/files/styles/az_small/public/2023-01/Seifrid.jpg.webp?itok=rSCar1On)
Presented by: Martin Seifrid, PhD, University of Toronto
Abstract:
To address pressing challenges in energy and healthcare, we must accelerate the pace of scientific discovery through digital technology, data-driven science, and automation.
In this talk, I will discuss how I combined experimental and computational tools to design organic semiconducting materials in my graduate research. My desire to drive the field forward then led me to build a self-driving laboratory during my postdoctoral research. I will provide an overview of how a self-driving lab works from both digital and experimental perspectives, with examples from the lab’s achievements in designing organic semiconductor laser materials.