About
Ansys Lumerical Multiphysics is a photonics component simulation software that enables the seamless design of photonic components by capturing multiphysics effects, including optical, thermal, electrical, and quantum well interactions, within a unified design environment. Tailored for design engineering workflows, this intuitive product design software offers a fast user experience, facilitating rapid design exploration and providing detailed insights into real-world product performance. It combines live physics and accurate high-fidelity simulation into an easy-to-use interface, supporting faster time-to-market. Key features include a finite element design environment, integrated multiphysics workflows, comprehensive material models, and capabilities for automation and optimization. The suite of solvers and seamless workflows in Lumerical Multiphysics accurately capture the interplay of physical effects in modeling both passive and active photonic components.
|
About
Simulate real-world designs, devices, and processes with multiphysics software from COMSOL. General-purpose simulation software based on advanced numerical methods. Fully coupled multiphysics and single-physics modeling capabilities. Complete modeling workflow, from geometry to postprocessing. User-friendly tools for building and deploying simulation apps. The COMSOL Multiphysics® software brings a user interface and experience that is always the same, regardless of engineering application and physics phenomena. Add-on modules provide specialized functionality for electromagnetics, structural mechanics, acoustics, fluid flow, heat transfer, and chemical engineering. Choose from a list of LiveLink™ products to interface directly with CAD and other third-party software. Deploy simulation applications with COMSOL Compiler™ and COMSOL Server™. Create physics-based models and simulation applications with this software platform.
|
About
The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.
|
About
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
|
|||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||
Audience
Photonic component manufacturers wanting a solution to enhance their design processes
|
Audience
Companies and designers looking for a multiphysics software solution for their design needs
|
Audience
Anyone in need of a deep learning software
|
Audience
Developers interested in a beautiful but advanced programming language
|
|||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||
API
Offers API
|
API
Offers API
|
API
Offers API
|
API
Offers API
|
|||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
|||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||
Company InformationAnsys
Founded: 1970
United States
www.ansys.com/products/optics/multiphysics
|
Company InformationComsol Group
Founded: 1986
United States
www.comsol.com
|
Company InformationVLFeat
United States
www.vlfeat.org/matconvnet/
|
Company InformationPython
Founded: 1991
www.python.org
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
|
|
||||
|
|
|
|
|
|||
|
|
|
|
||||
|
|
|
|
||||
Categories |
Categories |
Categories |
Categories |
|||
Simulation Features
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
|
Deep Learning Features
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
|
|||||
Integrations
Anti-Captcha
Automata LINQ
BotCity
Codespy
Encord
GoCodeo
June
Literal AI
McAnswers AI
PDFreactor
|
Integrations
Anti-Captcha
Automata LINQ
BotCity
Codespy
Encord
GoCodeo
June
Literal AI
McAnswers AI
PDFreactor
|
Integrations
Anti-Captcha
Automata LINQ
BotCity
Codespy
Encord
GoCodeo
June
Literal AI
McAnswers AI
PDFreactor
|
Integrations
Anti-Captcha
Automata LINQ
BotCity
Codespy
Encord
GoCodeo
June
Literal AI
McAnswers AI
PDFreactor
|
|||
|
|
|
|
|