SCM provides simulation software for OLED displays and batteries, focusing on the chemistry and materials science at an atomistic level. Bart Kompos explains how the company’s tools allow researchers and engineers to gain deep insights into device behavior by modeling individual atoms and electrons. The software supports virtual screening, enabling the design and testing of new molecules digitally before they are synthesized in a lab, accelerating the development of new materials.
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For battery applications, the software creates atomistic models to monitor ion movement during charging and discharging cycles. This simulation capability provides critical data on battery lifetime, defect analysis, and potential manufacturing optimizations. Users can study how different materials and chemical compositions affect the overall performance and longevity of battery systems, leading to improvements in energy storage technology.
In the realm of OLED displays, the simulation tools analyze the complex, multi-layered structures of the panels. The software models how charge carriers move through the various materials to reach emitter molecules, which are responsible for light generation. This allows for detailed analysis of panel stability, light output, and energy efficiency. The platform can scale from modeling individual molecules to simulating the behavior of entire display panels, including all optical effects.
The software also models key manufacturing processes, such as Chemical Vapor Deposition (CVD), which is used to produce OLED films. By simulating how molecules are deposited onto a substrate, users can predict the final film structure and its impact on properties like conductivity and efficiency. The tools also handle polymer materials, which are used in QLEDs as a matrix for quantum dots or as connective layers, simulating their network structures and mechanical properties.
The platform is designed to be accessible to chemists and display engineers without requiring extensive training in computational modeling. Users can define molecules by name or by drawing their structure, and the software automates the complex calculations required to derive their properties. These properties can then be seamlessly integrated into larger device simulations, creating a comprehensive workflow from molecular design to system-level performance prediction.
