Virtual Screening Of Material Design with Cutting-Edge ML Models
Virtually test and design industrial components with ML models. Leverage the full potential of a simulation environment integrated with a virtual material testing framework to conduct the tests live without wasting too many resources. Virtual testing enables manufacturers to design materials on the desktop and run confirmatory tests only for the most promising material compositions.
As manufacturing processes grow increasingly complex, ML models can help manufacturers plan and design better performing industrial components before investing significant capital. Developing end-to-end Machine Learning based pipelines helps test the industrial components virtually before physically manufacturing the parts, reducing the forecasting error, and saving time and cost of live testing. This also allows for increased operational efficiency by cost-effectively streamlining base operations while eliminating redundant processes.
Explore how Quantiphi helped a global manufacturer save 2 million USD annually by leveraging AI-powered virtual testing of its brake pad friction material and design.Learn More