December 1 - 6, 2024
Boston, Massachusetts
Symposium Supporters
2024 MRS Fall Meeting & Exhibit
MT02.14.01

PANDA—A Self-Driving Lab for Studying Electrodeposited Polymer Films

When and Where

Dec 6, 2024
8:00am - 8:30am
Hynes, Level 2, Room 209

Presenter(s)

Co-Author(s)

Keith Brown1,Harley Quinn1,Gregory Robben1,Zhaoyi Zheng1,Joerg Werner1

Boston University1

Abstract

Keith Brown1,Harley Quinn1,Gregory Robben1,Zhaoyi Zheng1,Joerg Werner1

Boston University1
We introduce the polymer analysis and discovery array (PANDA), an automated system for high-throughput electrodeposition and functional characterization of polymer films. The PANDA is a custom, modular, and low-cost system based on a CNC gantry that we have modified to include a syringe pump, potentiostat, and camera with telecentric lens. This system can perform fluid handling, electrochemistry, and transmission optical measurements on samples in custom 96-well plates that feature transparent and conducting bottoms. We begin by validating this platform through a series of control fluid handling and electrochemistry experiments to quantify the repeatability, lack of contamination, and accuracy of the system. As a proof-of-concept experimental campaign to study the functional properties of a model polymer film, we optimize the electrochromic switching of electrodeposited poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) films. In particular, we explore the monomer concentration, deposition time, and deposition voltage using an array of experiments selected by Latin hypercube sampling. Subsequently, we run an active learning campaign based upon Bayesian optimization to find the processing conditions that lead to the highest electrochromic switching of PEDOT:PSS. This self-driving lab integrates optical and electrochemical characterization to constitue a novel, automated approach for studying functional polymer films.

Keywords

autonomous research | polymer

Symposium Organizers

Andi Barbour, Brookhaven National Laboratory
Lewys Jones, Trinity College Dublin
Yongtao Liu, Oak Ridge National Laboratory
Helge Stein, Karlsruhe Institute of Technology

Session Chairs

Lewys Jones
Richard Liu

In this Session