ANSYS Lumerical 2020 – the product simulates the component level of the Lumerical device using business-modeling-physics style to simulate optical effects, electrical and thermal energy at the physical level. ANSYS Lumerical – install the simulator of the product, the system offers a wide range of rich analysis capabilities for the design and optimization of the integrated optical element circuit.

The ability to flexibly interact between approaches allows for multiple processes working together, on Tuesday multi-physics device and circuit simulator optoelectronic system level with Tools for increasing productivity and automation of interior design. Compatibility provides automation added support based on Python language through automation API and library support, compact for foundry photonics industry first.

Lumerical Solutions analyzes the interactions of ultraviolet, visible, and infrared light using complex structures. The solution accurately accounts for material dispersion at long wavelengths with its proprietary material modeling function. This allows the end user to efficiently calculate the device response at wide bandwidths. The highly optimized calculation engine enables the exploitation of multi-core computing systems – from laptops to computer clusters, and the built-in optimization tool accelerates the generation of optimized nanophotonic devices.

Lumerical Solutions uses Finite Difference Time Domain (FDTD) to solve the most complex photonic design problems. Rapid prototyping and high-fidelity simulation reduce the need for expensive proof-of-concept prototypes, enabling faster identification and lower product development and manufacturing costs. Lumerical Solutions can dramatically accelerate success in applications ranging from fundamental photonic research to systems engineering in imaging, lighting, biophotonics, photovoltaics, and more.

Key features of Lumerical Solutions:

• Simulation of arbitrary geometry in 2D and 3D.
• Simulation on multiple computers at the same time.
• Use of an optimization framework.
• Modeling of dispersive, nonlinear, anisotropic materials.
• Parallel computing on multi-core and multi-node systems.
• Optimized computation engine.
• Advanced meshing algorithms, including conformal meshes.
• Powerful scripting language.
• Development of parameterization framework and hierarchical structure.
• Creation of movies with simulation dynamics