Paul wants to characterize solar cells and extract parameters. He uses Paios for automated characterization, precise parameter extraction, and advanced electrical and optical measurements to accelerate his research.
Michael leverages machine learning to analyze and understand complex data. He uses Setfos to generate high-quality simulation data, extract key insights, and optimize device performance.
Larissa scales up solar cells to modules. She uses Laoss to analyze large-area devices, optimize scaling efficiency, and ensure performance consistency from cell to module.
Tom cares about lifetime and stability data for OLEDs. He uses Litos to accelerate degradation testing, collect high-throughput stability data, and optimize device performance over time.
Selina simulates and optimizes virtual devices. She uses Setfos to model device physics, refine designs, and accelerate innovation before fabrication.
Lynn is interested in high-throughput solar cell fabrication and data collection. She uses Litos Lite for automated stability testing, rapid performance tracking, and precise degradation analysis, ensuring reliable and reproducible results.
