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, with CEFT academics and their collaborators (within Warwick, nationally and internationally). Candidates with first degrees (Bachelor’s and/or Master’s) in all branches of Chemistry, Physics
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-mechanical phase-field model incorporating hydrogen diffusion, mechanical degradation, and fracture evolution. - Employ physics-informed neural networks (PINNs) to infer hidden fields and accelerate
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from both natural and anthropogenic sources. Given methane’s role as a potent greenhouse gas, and its recent acceleration in concentration, improving constraints on its chemical removal through oxidation
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. Increased additions of impurities like iron or deliberate additions like copper and nickel can be detrimental to corrosion resistance particularly in the accelerated tests used for qualification with
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digital twins, and life cycle assessment (LCA). A central component of the research will be the development of digital twins to simulate the entire production process, from raw materials to final product
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges. Click Apply now for more information on our application process
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
, conducted in collaboration with BASF and Heriot-Watt University. The initial study utilised advanced flow chemistry techniques to accelerate the biodegradation of BASF-supplied polymers, employing size
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devices, promoting sustainability across sectors through a holistic LCA-based design philosophy. These could empower industry, academia, and policymakers to make informed decisions, accelerating progress
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deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug