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What is Setfos?

Setfos is an advanced simulation application created by Fluxim, designed to model and improve the efficiency of OLEDs, organic and perovskite solar cells, photodetectors, and various thin-film optoelectronic devices. This tool combines electrical, optical, and electrothermal simulations on a single platform, allowing for a holistic approach to device analysis. Users of Setfos can simulate critical processes including charge injection, transport, trapping, recombination, exciton generation, light emission, as well as optical interference, absorption, and light outcoupling. The software provides detailed calculations for current-voltage characteristics, luminance, electroluminescence spectra, quantum efficiency, electric fields, carrier densities, optical generation profiles, and parameters related to reflection, transmission, and absorption. By employing drift-diffusion semiconductor modeling in conjunction with transfer-matrix optical simulation, Setfos adeptly tackles multilayer structures. It is extensively used by both academic researchers and industry professionals, facilitating device design, conducting parameter studies, assisting in the interpretation of experimental results, analyzing losses, and optimizing OLEDs, solar cells, and a range of semiconductor devices, thus proving to be an indispensable asset in the field. Its extensive functionality and depth enable researchers to meticulously investigate and refine the complexities of their optoelectronic endeavors, making it a cornerstone in the advancement of this technology.

What is ACD/Labs Percepta Platform?

Percepta provides a comprehensive platform for calculating a range of physicochemical properties, as well as ADME characteristics and toxicity endpoints. Users can seamlessly analyze outcomes from its various calculators, with each module offering targeted information, features like structure highlighting, and specific calculation methods. Additionally, the platform includes robust filtering, sorting, and graphing functionalities, which facilitate the examination of predicted outcomes. To gauge the reliability of these predictions and their applicability to your current endeavors, you can utilize metrics such as reliability index, probability assessments, and comparisons with similar structures from established training sets. The data on calculated molecular properties can also be leveraged for studying structural modifications and optimizing leads to align with the desired product profile concerning absorption, distribution, metabolism, and excretion. Furthermore, incorporating experimental data can enhance your comprehension of the unique chemical landscape while simultaneously boosting the accuracy of predictions through integrated machine learning features. This multifaceted approach not only streamlines research but also fosters innovation in chemical property analysis.

Media

Media

Integrations Supported

Python

Integrations Supported

Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing is dependant on the number of modules purchased and use case.
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Fluxim AG

Date Founded

2006

Company Location

Switzerland

Company Website

www.fluxim.com

Company Facts

Organization Name

Advanced Chemistry Development

Date Founded

1994

Company Location

Canada

Company Website

www.acdlabs.com/products/percepta/

Categories and Features

Simulation

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

Categories and Features

Scientific Data Management System (SDMS)

Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows

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