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A Hybrid experimental and theoretical investigation into the multi-component gas adsorption properties of selected porous materials
Published 2021Get full text
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Acid biodesulphurisation of coal discards using a heap leaching approach
Published 2026“…Passive treatment systems utilize natural chemical and biological processes to mitigate acidity and precipitate metal pollutants. …”
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DFT insight into the oxygen reduction reaction (ORR) on the Pt₃Co(111) surface
Published 2016“…The calculations have been performed using the plane wave based code, the Vienna ab-initio Simulation Package (VASP). DFT spin-polarized calculations, utilizing the GGA-PW91 functional, have been used to study the adsorption of the ORR intermediates, viz. …”
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Tττ-framework for the evaluation and improvement of phase behaviour description with the NRTL activity coefficient model
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Optimisation of biogas production from co-digestion of water hyacinth, municipal solid waste and cow dung
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An efficient congestion control scheme for a lightweight constrained application protocol in the Internet of Things
Published 2020Get full text
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Development of a platform for rational diagnostic design using a venom-antibody model
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The separation of phenolic compounds from neutral oils and nitrogen bases
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Development of a magnetic intra-uterine manipulator
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Development of analytical methods for N-nitrosamine disinfection byproducts in drinking water
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Intelligent elevator control based on adaptive learning and optimisation
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Multivariate statistical process evaluation and monitoring for complex chemical processes
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Elucidating the Smurf1- and other E3 ligase-mediated ubiquitination of mycobacterial proteins
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The development of a hand-held, self-powering bio-sensing device for the early detection of mycobacterium tuberculosis
Published 2019Get full text
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State-based decision support for condition shifting of multimodal continuous processes
Published 2021Get full text
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Spectroscopy of atomic zinc inside a heat pipe: Towards resonance ionisation
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A neurocontrol paradigm for intelligent process control using evolutionary reinforcement learning
Published 2011Get full text
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