Simulation-based Machine Learning for Optoelectronic Device Design: Perspectives, Problems, and Prospects
| Autor: | Joachim Piprek |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer simulation
business.industry 02 engineering and technology 021001 nanoscience & nanotechnology Machine learning computer.software_genre 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials 010309 optics 0103 physical sciences Point (geometry) Artificial intelligence Computational analysis Electrical and Electronic Engineering 0210 nano-technology business Simulation based Computer communication networks computer |
| Popis: | Numerical simulation and machine learning represent opposite approaches to computational analysis of the real world, deductive vs. inductive. However, both methods suffer from various uncertainties and even their combination often fails to link theory and reality. Focusing on GaN-based light-emitting diode (LED) design optimization, this paper evaluates examples of simulation-based machine learning from a physics point of view. Strategies are suggested for achieving more realistic predictions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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