| OpenCrystalData: An open-access particle image database to facilitate learning, experimentation, and development of image analysis models for crystallization processes. Y Barhate, C Boyle, H Salami, WL Wu, N Taherimakhsousi, C Rabinowitz, ... Digital Chemical Engineering 11, 100150, 2024 | 2 | 2024 |
| Developing a model-driven workflow for the digital design of small-scale batch cooling crystallisation with the antiviral lamivudine T Pickles, C Mustoe, C Boyle, J Cardona, CJ Brown, AJ Florence CrystEngComm 26 (6), 822-834, 2024 | 2 | 2024 |
| Improved particle characterisation from in-line PAT: comparison of deep learning and white-box methods C Boyle, C Brown, J Sefcik, J Cardona AIChE Annual Meeting 2022, 1-5, 2022 | 2 | 2022 |
| Secondary nucleation of α-glycine induced by fluid shear investigated using a Couette flow cell A Cashmore, K Georgoulas, C Boyle, M Lee, MD Haw, J Sefcik Crystal Growth & Design, 2024 | 1 | 2024 |
| Deep Learning Particle Characterisation for Efficient Automatic Thermodynamic and Kinetic Parameter Estimation C Boyle, P Sandhu, J Cardona 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Multi-label classification of crystallisation outcomes from in-situ imaging P Sandhu, C Boyle, C Tachtatzis, J Cardona 2024 British Association for Crystal Growth Annual Conference, 2024 | | 2024 |
| Image analysis in the datafactory C Boyle, J Cardona, P Sandhu CMAC Open Days 2023, 2023 | | 2023 |
| Opencrystaldata: An Open-Access Crystal Image Database for Enabling the Image-Based Analysis of Crystallization Systems WL Wu, Y Barhate, C Boyle, H Salami, A Bommarius, J Cardona, Z Nagy, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Data-driven approaches for the classification of crystallisation from in-line images P Sandhu, C Tachtatzis, C Boyle, J Cardona ISIC 2023: International Symposium on Industrial Crystallisation, 2023 | | 2023 |
| Data-driven approaches for the classification of crystallisation outcomes from in-line images P Sandhu, C Tachtatzis, C Boyle, J Cardona CMAC Summer School, 2023 | | 2023 |
| Deep Learning methods for solid loading prediction from in-line Chord Length Distributions (CLDs) I Moreno, C Boyle, C Ferreira, YC Chen, C Brown, C Tachtatzis, ... Advances in Process Analytics and Control Technologies, 2022 | | 2022 |
| Evaluation of deep learning methods for particle characterisation from in-line imaging and chord length distribution measurements C Boyle, C Brown, J Sefcik, J Cardona Advances in Process Analytics and Control Technologies, 2022 | | 2022 |
| Multidimensional particle characterisation from in-situ imaging using deep learning and transfer learning C Boyle, C Ferreira, YC Chen, C Tachtatzis, I Andonovic, C Brown, ... 21st International Symposium on Industrial Crystallisation, 2021 | | 2021 |
| Real-time rheological investigation of complex behaviour in cornstarch suspensions C Boyle | | 2021 |
