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Average Ratings 0 Ratings

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support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Luminal is a high-performance machine-learning framework designed with an emphasis on speed, simplicity, and composability, which utilizes static graphs and compiler-driven optimization to effectively manage complex neural networks. By transforming models into a set of minimal "primops"—comprising only 12 fundamental operations—Luminal can then implement compiler passes that swap these with optimized kernels tailored for specific devices, facilitating efficient execution across GPUs and other hardware. The framework incorporates modules, which serve as the foundational components of networks equipped with a standardized forward API, as well as the GraphTensor interface, allowing for typed tensors and graphs to be defined and executed at compile time. Maintaining a deliberately compact and modifiable core, Luminal encourages extensibility through the integration of external compilers that cater to various datatypes, devices, training methods, and quantization techniques. A quick-start guide is available to assist users in cloning the repository, constructing a simple "Hello World" model, or executing larger models like LLaMA 3 with GPU capabilities, thereby making it easier for developers to harness its potential. With its versatile design, Luminal stands out as a powerful tool for both novice and experienced practitioners in machine learning.

Description

Setfos is a sophisticated simulation tool developed by Fluxim, aimed at modeling and enhancing the performance of OLEDs, organic and perovskite solar cells, photodetectors, and various thin-film optoelectronic devices. This software integrates electrical, optical, and electrothermal simulations within a single platform, providing a comprehensive approach to device analysis. Within Setfos, users can model essential processes such as charge injection, transport, trapping, recombination, exciton generation, light emission, optical interference, as well as absorption and light outcoupling. It offers calculations for current-voltage characteristics, luminance, electroluminescence spectra, quantum efficiency, electric fields, carrier densities, optical generation profiles, and the parameters of reflection, transmission, and absorption. The software leverages drift-diffusion semiconductor modeling alongside transfer-matrix optical simulation to effectively address multilayer structures. Widely utilized by both academic and industrial researchers, Setfos supports the design of devices, conducts parameter studies, aids in the interpretation of experimental data, analyzes losses, and optimizes OLEDs, solar cells, and a variety of semiconductor devices, making it an essential tool in the field. Its versatility and depth ensure that researchers can thoroughly explore and enhance the intricacies of their optoelectronic projects.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Hugging Face Yes 
Llama 3 Yes 
Python No 

Integrations

Hugging Face No 
Llama 3 No 
Python Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Pricing is dependant on the number of modules purchased and use case.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Luminal

Country

United States

Website

luminalai.com

Vendor Details

Company Name

Fluxim AG

Founded

2006

Country

Switzerland

Website

www.fluxim.com

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Simulation

1D Simulation Yes 
3D Modeling No 
3D Simulation No 
Agent-Based Modeling No 
Continuous Modeling No 
Design Analysis Yes 
Direct Manipulation No 
Discrete Event Modeling No 
Dynamic Modeling No 
Graphical Modeling No 
Industry Specific Database Yes 
Monte Carlo Simulation Yes 
Motion Modeling No 
Presentation Tools No 
Stochastic Modeling No 
Turbulence Modeling No 

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