TY - GEN
T1 - Ai-guided microfluidic synthesis of colloidal lead halide perovskite quantum dots
AU - Epps, Robert W.
AU - Volk, Amanda A.
AU - Abdel-Latif, Kameel
AU - Reyes, Kristofer G.
AU - Abolhasani, Milad
N1 - Publisher Copyright:
© 2020 CBMS-0001
PY - 2020
Y1 - 2020
N2 - In this work, an artificial intelligence (AI)-guided modular microfluidic reactor is developed and utilized for autonomous synthesis and formulation discovery of inorganic metal halide perovskite quantum dots (PQDs) using halide exchange reactions. A novel multimodal material diagnostic module is developed and integrated with the modular microfluidic platform to attain accurate in-situ photoluminescence quantum yield (Φ), emission full-width at half maximum (EFWHM), and peak emission energy (EP) of the in-flow synthesized PQDs, simultaneously through in-situ UV-Vis absorption (A) and photoluminescence (IPL) measurements. An ensemble neural network (ENN) modeling algorithm coupled with various decision-making policies and a multiparameter objective function (Z) allow for the simultaneous improvement of Φ and EFWHM at any target EP completely independent of user intervention.
AB - In this work, an artificial intelligence (AI)-guided modular microfluidic reactor is developed and utilized for autonomous synthesis and formulation discovery of inorganic metal halide perovskite quantum dots (PQDs) using halide exchange reactions. A novel multimodal material diagnostic module is developed and integrated with the modular microfluidic platform to attain accurate in-situ photoluminescence quantum yield (Φ), emission full-width at half maximum (EFWHM), and peak emission energy (EP) of the in-flow synthesized PQDs, simultaneously through in-situ UV-Vis absorption (A) and photoluminescence (IPL) measurements. An ensemble neural network (ENN) modeling algorithm coupled with various decision-making policies and a multiparameter objective function (Z) allow for the simultaneous improvement of Φ and EFWHM at any target EP completely independent of user intervention.
KW - Modular Microfluidics
KW - Perovskite Quantum Dots
KW - Smart Microfluidic Material Synthesis
UR - https://www.scopus.com/pages/publications/85098251304
M3 - Conference contribution
AN - SCOPUS:85098251304
T3 - MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences
SP - 1294
EP - 1295
BT - MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences
PB - Chemical and Biological Microsystems Society
T2 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020
Y2 - 4 October 2020 through 9 October 2020
ER -