.png){kind=icon}
Return
A scheme for simulating multi-level phase change photonics materials
.png){kind=icon}
OA
AI
DOI：10.1038/s41524-021-00655-w.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Chalcogenide phase change materials (PCMs) have been extensively applied in data storage, and they are now being proposed for high resolution displays, holographic displays, reprogrammable photonics, and all-optical neural networks. These wide-ranging applications all exploit the radical property contrast between the PCMs' different structural phases, extremely fast switching speed, long-term stability, and low energy consumption. Designing PCM photonic devices requires an accurate model to predict the response of the device during phase transitions. Here, we describe an approach that accurately predicts the microstructure and optical response of phase change materials during laser induced heating. The framework couples the Gillespie Cellular Automata approach for modelling phase transitions with effective medium theory and Fresnel equations. The accuracy of the approach is verified by comparing the PCM's optical response and microstructure evolution with the results of nanosecond laser switching experiments. We anticipate that this approach to simulating the switching response of PCMs will become an important component for designing and simulating programmable photonics devices. The method is particularly important for predicting the multi-level optical response of PCMs, which is important for all-optical neural networks and PCM-programmable perceptrons.
Keywords:
INDUCED CRYSTALLIZATION
CRYSTAL NUCLEATION
MEMORY
TRANSITIONS
MICROSCOPY
GE2SB2TE5
Journal
IF:
11.9
Papers:
2.4K
Citations:
1.7W
Organization
Cited Papers
Designing crystallization in phase-change materials for universal memory and neuro-inspired computing.png)
NATURE REVIEWS MATERIALS
NATURE REVIEWS MATERIALSIF86.2
PREAI
ShareSaveRoadmap on material-function mapping for photonic-electronic hybrid neural networksAPL MATERIALS
OAAI
APL MATERIALSIF4.5
OAAIShareSavePhase-change-driven dielectric-plasmonic transitions in chalcogenide metasurfacesNPG ASIA MATERIALSOAAI
NPG ASIA MATERIALSIF8.3
OAAIShareSaveShareSaveShareSaveMultiphysics simulations of adaptive metasurfaces at the meta-atom length scaleNANOPHOTONICSOAAI
NANOPHOTONICSIF6.6
OAAIShareSaveShareSaveOptically reconfigurable metasurfaces and photonic devices based on phase change materialsNATURE PHOTONICS
NATURE PHOTONICSIF32.9
PREAI
ShareSave
View more