Novel discrete fracture networks model for multiphase flow in coal
- Digital Object Identifier
- https://doi.org/10.1021/acs.energyfuels.2c03658
- Open Access
- http://aura.abdn.ac.uk/bitstreams/d10cd3d3-af2c-418e-bdfd-b71e523c504c/download
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Soil organic carbon significantly increases when perennial biomass plantations are reverted back to annual arable crops
- Digital Object Identifier
- https://doi.org/10.3390/agronomy13020447
- Open Access
- http://aura.abdn.ac.uk/bitstreams/82c0b387-0cb2-499a-ba75-1281f7ae3b6e/download
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Challenges in research approaches to the ‘just energy transition’ in legal studies and other branches of the social sciences
- Digital Object Identifier
- https://doi.org/10.1093/jwelb/jwac035
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Understanding Rock-Steel interface properties for use in offshore applications
- Digital Object Identifier
- https://doi.org/10.1680/jgeen.20.00183
- Open Access
- http://aura.abdn.ac.uk/bitstreams/9e31dac9-2af1-40af-bc4f-4188c0bc75c4/download
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Mitigating catalyst deactivation in selective hydrogenation by enhancing dispersion and utilizing reaction heat effect
- Digital Object Identifier
- https://doi.org/10.1002/aic.17874
- Open Access
- http://aura.abdn.ac.uk/bitstreams/9d511d86-9dc9-4975-bdcb-92759757a505/download
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The research of river morphology transition and sediment variation: Shule River, northwest of China
- Digital Object Identifier
- https://doi.org/10.1016/j.geoen.2022.211396
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Using UAV-Based Photogrammetry Coupled with In Situ Fieldwork and U-Pb Geochronology to Decipher Multi-Phase Deformation Processes: A Case Study from Sarclet, Inner Moray Firth Basin, UK
- Digital Object Identifier
- https://doi.org/10.3390/rs15030695
- Open Access
- http://aura.abdn.ac.uk/bitstreams/36d1878e-7967-4b19-b517-e580a15ad5ad/download
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- View publication in Scopus
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Enhanced Oxide Ion Conductivity by Ta Doping of Ba3Nb1-xTaxMoO8.5
- Digital Object Identifier
- https://doi.org/10.1021/acs.inorgchem.2c03943
- Open Access
- http://aura.abdn.ac.uk/bitstreams/dfc34415-876f-4ab1-9d96-f47b1f4bcad7/download
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Attention-Based Deep Learning Methods for Predicting Gas Turbine Emissions
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The role of law in petroleum resource governance and predicting the natural resource paradox in Africa
- Digital Object Identifier
- https://doi.org/10.4337/9781788978224.00011
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- View publication in Scopus