Deep learning for materials development and additive manufacturing

Join us to find out how machine learning methods are being applied to solve key problems in the design, characterization, and processing of metal alloys and other advanced materials, with a case study from an additive manufacturing (AM) project involving Intellegens, Boeing, and the AMRC.

Dates Tuesday, February 23, 2021 - Download as vCalendar
Event Times: 16:00 to 17:00
Contact Name Elena Pisa
Website Event website

Event details:

What you will learn:

  • Typical data analysis challenges for advanced materials (alloys, composites, ceramics), and AM - what constrains machine learning methods?
  • How you can use Alchemite deep learning to gap-fill data and build models, enabling more effective characterization of materials
  • How deep learning has been successfully used to design experiments and in computational design of alloys
  • How you can monitor and optimise process parameters to ensure quality
  • How these approaches are being applied in an aerospace AM project

Event Speakers: 
Gareth Conduit (CTO at Intellegens)
Ian Brookes (Technical Fellow at AMRC North West)

Our mission is to help clients accelerate innovation by using our unique deep learning solutions to extract valuable information from existing processes and data.

Our technology originated from the work of Dr Gareth Conduit and collaborators at the Cavendish Laboratory, University of Cambridge. At Intellegens, we have further developed this work to build a unique Artificial Intelligence (AI) toolset that can train deep neural networks from sparse or noisy data.