Computational Mechanics and Engineering AI (CMAI) research group has established their international stands on developing next generation smart computational engineering solutions to enable the digital transformation for built environment. CMAI’s physics and mechanics informed Engineering AI, which is data-driven, enabling smart materials, structure and digital twin development, aligns well with major funding priorities. The research substantializes domain-oriented AI algorithms, to make a breakthrough towards generic, responsible and explainable AI, to enable human-centered digitalization for the built environment.

CMAI focus on three main areas:

• Computational models for advanced smart materials
• Computational models for advanced structures and meta-structures
• Advanced BIM and Physics informed Digital Twins

The first one, in short, Smart Materials, involves state of the art topics such as modelling of micro- and nano-structured materials and composites, electroactive materials, biological materials*, quasicrystals* and architected meta-materials*, which means we can produce bespoke manmade new materials to help achieving net-zero sustainable built environment.

Regarding the second, in short, Smart Structures, the topics are composite aerospace structures, finite elements method for multiscale problems*, robust aircraft design optimisation, uncertainty quantification and management in engineering applications*, smoothed-particle hydrodynamics for modelling flow of particulate composites, modelling of meta-structures for elastic waves*, structural dynamics*, dynamical systems, elastic waves propagation and absorption*, structural optimization, topological mechanics*, which means we can understand and produce novel and sustainable structural at all scales to help achieving long lasting and sustainable built environment.

The third area, Digital Twins, focuses on the pioneering physics informed data driven engineering AI and their applied smart engineering applications, including Symbolic Mathematics, Game Playing, Neutral Networks, Expert Systems, Fuzzy Logic, Robotics and Natural Language Processing*; multi-dimensional BIM data, information and knowledge processing*; Large scale smart engineering computing, data analytics and optimization*; and Knowledge based/cognitive modelling and artificial intelligence supported holistic decision making*, which means we can understand super complex engineering issues and produce holistic and systems approach to enable human centred digitalization.

In all those topics the group is present at a level recognised as at least internationally excellent. Those indicated with * are trendy topics that are attracting most of the attention of the world-leading research centres.