Optimal selection of novel organic-inorganic analogs through programming tools for computer-aided synthesis of perovskite solar cells

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An optimization problem that attempts to find perovskite crystal configurations based on Goldschmidt stability factors and simultaneously minimizes cost A MILP (Mixed Integer Linear Programming) model was developed to evaluate over 2000 combinations of perovskite crystals simultaneously By using the associated cost, the cheapest combination was obtained The problem is computationally efficient taking only 0.187s to give the solution The mathematical model presented in this study can provide an excellent starting point for exploring the undiscovered combination of materials for perovskite solar cell synthesis.

Original languageEnglish (US)
Title of host publication2020 Virtual AIChE Annual Meeting
PublisherAmerican Institute of Chemical Engineers
ISBN (Electronic)9780816911141
StatePublished - 2020
Event2020 AIChE Annual Meeting - Virtual, Online
Duration: Nov 16 2020Nov 20 2020

Publication series

NameAIChE Annual Meeting, Conference Proceedings
Volume2020-November

Conference

Conference2020 AIChE Annual Meeting
CityVirtual, Online
Period11/16/2011/20/20

All Science Journal Classification (ASJC) codes

  • General Chemical Engineering
  • General Chemistry

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