Guide Physical Testing
twinLab’s statistical design of experiment capabilities are used in academia and industry to minimise the number of experiments required to characterise load response and damage behaviour of composites.
The Machine Learning Partner for Materials & Manufacturing
From optimising manufacturing processes to enabling the design of novel materials, we have developed expertise working with industry leaders. Leverage advanced probabilistic machine learning techniques to enhance your R&D.
Working with Industry Leaders to Design for the Future
Digital Transformation
Organisations are transitioning towards capturing and utilising data to make decisions throughout the R&D cycle. digiLab have expertise in guiding organisations to do this effectively, as well as digital solutions for making informed and optimal decisions.
twinLab Platform
twinLab, our intuitive ML platform, helps engineers and scientists utilise ML alongside their current workflows. twinLab integrates with your scientific and commercial simulation tools and leverages Bayesian statistics to elicit expert knowledge.
Our Expertise in Advanced Materials and Manufacturing
Explore our case studies and technical demos
Fine-tune Manufacturing Processes
twinLab has been used to find optimum parameters for welding processes to minimise residual stresses in fission components.
Optimise Designs
Utilise our emulators to quickly and efficiently optimise your parametric models in complex, expensive, and/or non-linear simulations.
Understand Uncertainty
twinLab has provided a framework for Uncertainty Quantification for world leading materials research in the fusion sector by evaluating the response of complex systems to uncertain material properties.
How twinLab Powers Materials and Advanced Manufacturing
- twinLab uses the latest in probabilistic modelling to build fast, robust emulators with built-in uncertainty quantification (UQ)
- Proven capabilities, accelerating research and development in plasma physics, systems engineering and materials
- Around the clock technical support, training & workshops, and extensive domain specific demos & tutorials
