TY  - JOUR
AU  - Patel, Jing
AU  - Bhuiyan, Priya
AU  - Kim, Amara
TI  - Perovskite Thin Films
JO  - Open Access Journal of Engineering Applications
PY  - 2023
VL  - 47
IS  - 1
SP  - 862
EP  - 869
AB  - The rapid expansion of food processing industries across South Asia has intensified the need to characterize perovskite thin films under realistic operating conditions. Measurements from food processing industries were pre-processed, filtered, and used to train the proposed model. A 11% gain in durability was recorded during accelerated ageing tests. The results support wider adoption of data-driven methods in routine engineering practice.
KW  - perovskite thin films
KW  - particle swarm optimization
KW  - base isolation
KW  - machine learning
KW  - graph neural networks
SN  - 3105-7004
DO  - 10.55555/oajea.2023.4701.048
UR  - https://journal.bsaps.com/article/10015
ER  -