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architecture composites have attracted growing interests in high-performance automotive and aerospace applications. This project aims to develop an image analysis tool for quantifying fibre orientation and fibre
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). One of 14 such partnerships in the UK, the Midlands Graduate School is a collaboration between the Universities of Warwick, Birmingham, Nottingham, Aston Leicester, Loughborough, De Montfort and
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Economic and Social Research Council (ESRC) Doctoral Training Partnership (DTP). One of 14 such partnerships in the UK, the Midlands Graduate School is a collaboration between the Universities of Warwick
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, superalloys, smart fluids, space plasmas etc. They have recently been awarded £11m to train PhD cohorts in computation modelling. HetSys is built around a closely knit, highly collaborative team of academics
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the University of Warwick called ROARS (Revealing Orbital and Atmospheric Responses to Solar activity), recently selected by the European Space Agency. The ROARS consortium features leading scientists and
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; Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 1 month ago
Partnership (DTP). One of 14 such partnerships in the UK, the Midlands Graduate School is a collaboration between the Universities of Warwick, Birmingham, Nottingham, Aston Leicester, Loughborough, De Montfort
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awarded £11m to train PhD cohorts in computation modelling. Built around a closely knit, highly collaborative team of academics from five science departments at Warwick with a strong track record in leading
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modelling opportunities. In this project we will develop and use hybrid modelling approaches for moving fluid-fluid interfaces around obstacles, incorporating analytical and computational techniques
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to train PhD cohorts in computation modelling. HetSys is built around a closely knit, highly collaborative team of academics from five science departments at Warwick with a strong track record in leading
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very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design