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This study presents a simple, single and an accurate computer-aided design model for quantum-cascade laser based on multi-layer perceptrons. Each critical quantity (optical gain, differential refractive index change, linewidth enhancement factor) that is used in the model requires long mathematical calculations with a strong background knowledge. In addition to that, these quantities use different...
This study presents the computer aided design (CAD) of type-I quantum-cascade lasers (QCLs) based on Artificial Neural Networks (ANNs). QCLs have critical quantities named modal gain, differential refractive index change and the linewidth enhancement factor (LEF, ?? parameter). Each of these quantities requires lengthy mathematical calculations using different theories and assumptions. The single...
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