Knowledge is brought together from the departments of Chemistry, Physics, Materials Engineering, Computer Science, and Mathematics.
University of Liverpool academics cover the full breadth of digital methods that could be employed in materials chemistry, including:
- Algorithms and optimisation
- Reinforcement and active learning
- Robotics and automation
- Data science
- Physics-based models
- Natural language processing
- Knowledge representation.
We tackle research challenges by pairing experts in digital methodologies and materials chemistry, from both the University and industry partners. Across chemistry, engineering and physics, this includes specialists in:
- Polymers and soft matter
- Functional organic solids
- Functional inorganic solids
- Materials for energy generation and storage or advanced devices
- Nanomedicine and biointerfaces
- Nanomaterials for manufacturing
- Advanced materials characterisation techniques.
We can help navigate this complex disciplinary landscape, finding the right expert for emerging problems.
Back to: Centre for Doctoral Training in Digital and Automated Materials Chemistry