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Simulating Phase Change | Ansys Webinar:
This Ansys webinar demonstrates how to simulate phase change. More specifically, simulating the transient thermal response of materials undergoing phase change (PCM) such as solid-to-liquid and vice versa. In like fashion, the setup and input required is discussed in detail.
As an illustration, a practical, real-world demonstration will be provided using photonic devices. Thereafter, engineers will have the ability to jump into their Ansys Software and start simulating phase change with ease!
- Related Software: Ansys Nuhertz FilterSolutions
Simulating Multi-Level Phase Change in Photonics Materials
In recent years, chalcogenide phase change materials (PCMs) have been widely used in data storage. Additionally, they are currently being suggested for holographic displays, all-optical neural networks, reprogrammable photonics, and high-resolution displays.
In this respect, all of these diverse applications take use of the stark differences in properties. Indeed, between the many structural phases of PCMs, as well as their incredibly quick switching times, long-term stability, and low energy requirements.
Phase-Change Materials (PCM) and Design Accuracy
In order to accurately predict how the device will behave during phase transitions, PCM photonic device design requires an accurate model.
In this webinar, we’ll go over a method for precisely forecasting the optical response and microstructure of phase-change materials during laser-induced heating. The framework combines effective medium theory, Fresnel equations, and the Gillespie Cellular Automata method for modeling phase transitions.
Advances in Phase-Change Materials (PCM) in Performance Prediction
Comparatively, contrasting the PCMs optical response and microstructure evolution with the outcomes of nanosecond laser switching experiments, the accuracy of the technique is confirmed.
Evidently, this method for simulating PCM switching response is expected to be crucial in the design and simulation of programmable photonics devices.
Predicting the multi-level optical response of PCMs, which is crucial for all-optical neural networks and PCM-programmable perceptron’s, is one of the main applications of the method.
By and large, telluride-based PCMs’ significant optical absorption at visible and near-infrared frequencies has been the a core drawback.
However, to specifically program the response of visible and near-infrared photonics devices, PCMs with a larger bandgap have been created in recent years. Indeed, with this breath of fresh air, optical switches, displays, and metasurfaces have renewed industry potential through such prototyping advances.
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