Neural networks are emerging as transformative tools in the field of material sciences by providing new avenues for constitutive modelling. Integrating advanced algorithms with physics-based insights, ...

Given the importance of residual stresses and dimensional changes in composites manufacturing, process simulation has been the focus of many studies in recent years. Consequently, various constitutive ...

Three out of five papers in the special feature were authored by McCormick School of Engineering faculty. The pieces – by Professors Erik Luijten, Gregory Wagner and Sinan Keten, and Chris Wolverton – ...

An illustration of the machine learning model framework, showing its application in predicting the electro-mechanical behavior of CNTs/PDMS composites. As featured in National Science Open, the ...

Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...

Building models is a key element of today’s science behind bioprocessing. The value of such models, however, depends on the information being produced. To improve models of bioprocessing, Mariana ...

The main purpose of this new Coordinated Research Project (CRP) is to support interested IAEA Member States in their efforts to enhance advanced modelling / simulation of TRISO fuel performance, ...

Description: Biomechanics and biomaterials research stands at the forefront of contemporary bioengineering and biotechnology, shaping the future of ...