Tony Shardlow

2023

1. Deveney, T., Mueller, E., & Shardlow, T. (2023) Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems. SIAM Uncertainty Quantification, DOI: 10.1137/22M1513113.
      
   bib

   @article{teo_hmc,
     author = {Deveney, T. and Mueller, E. and Shardlow, T.},
     title = {Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems},
     eprinttype = {arxiv},
     eprint = {2204.02272},
     journal = {SIAM Uncertainty Quantification},
     doi = {10.1137/22M1513113},
     year = {2023},
     vol = {11},
     number = {3}
   }
   

2. Delos Reyes, J., Shardlow, T., elgado-Charro, M.B., Webb, S., & White, K.A.J. (2023) Mathematical Modelling of Droplet Evaporation and Surfactant Effects on Pesticide Leaf Uptake.
    
   bib

   @online{delosreyes2023,
     author = {{Delos Reyes}, J. and Shardlow, T. and elgado-Charro, M. B. and Webb, S. and White, K. A. J.},
     title = {Mathematical Modelling of Droplet Evaporation and Surfactant Effects on Pesticide Leaf Uptake},
     year = {2023},
     eprinttype = {SSRN},
     eprint = {4331165},
     url = {https://ssrn.com/abstract=4331165}
   }
   

2022

1. Tang, H., Deveney, T., Shardlow, T., & Lock, G. (2022) Use of Bayesian Statistics to Calculate Transient Heat Fluxes on Compressor Discs. Physics of Fluids, DOI: 10.1063/5.0091371.
    
   bib

   @article{tep,
     doi = {10.1063/5.0091371},
     url = {https://doi.org/10.1063%2F5.0091371},
     year = {2022},
     month = apr,
     publisher = {{AIP} Publishing},
     author = {Tang, Hui and Deveney, Teo and Shardlow, Tony and Lock, Gary},
     title = {Use of Bayesian Statistics to Calculate Transient Heat Fluxes on Compressor Discs},
     journal = {Physics of Fluids}
   }
   

2. Cornalba, F. & Shardlow, T. (2022) The Regularised Inertial Dean-Kawasaki equation: discontinuous Galerkin approximation and modelling for low-density regime.
    
   bib

   @eprint{2207.09989,
     author = {Cornalba, Federico and Shardlow, Tony},
     title = {The Regularised Inertial {Dean-Kawasaki} equation: discontinuous Galerkin approximation and modelling for low-density regime},
     year = {2022},
     eprinttype = {arxiv},
     eprint = {2207.09989},
     github = {tonyshardlow/RIDK-FD}
   }
   

3. Deveney, T. (2022) Accelerating Bayesian inference with physics-governed likelihoods using deep learning (PhD thesis).
   bib

   @phdthesis{deveney:phd,
     author = {Deveney, Teo},
     title = {Accelerating {Bayesian} inference with physics-governed likelihoods using deep learning},
     school = {Department of Mathematical Sciences,  University of  Bath,
     			co-supervised with E. Mueller},
     year = {2022},
     uni = {researchportal.bath.ac.uk/en/studentTheses/accelerating-bayesian-inference-with-physics-governed-likelihoods}
   }
   

4. Delos Reyes, J., Shardlow, T., Delgado-Charro, M.B., Webb, S., & White, K.A.J. (2022) Mathematical modelling of adjuvant-enhanced active ingredient leaf uptake of pesticides.
    
   bib

   @online{delosreyes2022,
     author = {{Delos Reyes}, J. and Shardlow, T. and Delgado-Charro, M. B. and Webb, S. and White, K. A. J.},
     title = {Mathematical modelling of adjuvant-enhanced active ingredient leaf uptake of pesticides},
     year = {2022},
     eprinttype = {arxiv},
     eprint = {2210.11205}
   }