| Machine learning for biochemical engineering: A review T Savage, M Mowbray, C Wu, Z Song, BA Cho, EA Del Rio-Chanona, ... Biochemical Engineering Journal 172, 108054, 2021 | 109* | 2021 |
| Protein engineering design from directed evolution to de novo synthesis W Xiong, B Liu, Y Shen, K Jing, T Savage Biochemical Engineering Journal 174, 108096, 2021 | 35 | 2021 |
| Data-driven optimization for process systems engineering applications D Van De Berg, T Savage, P Petsagkourakis, D Zhang, N Shah, ... Chemical Engineering Science 248, 117135, 2022 | 33 | 2022 |
| Combining model structure identification and hybrid modelling for photo‐production process predictive simulation and optimisation D Zhang, TR Savage, BA Cho Biotechnology and Bioengineering 117 (11), 3356-3367, 2020 | 29 | 2020 |
| Kinetic and hybrid modeling for yeast astaxanthin production under uncertainty F Vega‐Ramon, X Zhu, TR Savage, P Petsagkourakis, K Jing, D Zhang Biotechnology and Bioengineering 118 (12), 4854-4866, 2021 | 28 | 2021 |
| Universal digital twin–the impact of heat pumps on social inequality T Savage, J Akroyd, S Mosbach, M Hillman, F Sielker, M Kraft Advances in Applied Energy 5, 100079, 2022 | 16 | 2022 |
| Universal Digital Twin: Integration of national-scale energy systems and climate data T Savage, J Akroyd, S Mosbach, N Krdzavac, M Hillman, M Kraft Data-Centric Engineering 3, e23, 2022 | 8 | 2022 |
| An adaptive data-driven modelling and optimization framework for complex chemical process design T Savage, HF Almeida-Trasvina, EA del Río-Chanona, R Smith, D Zhang Computer Aided Chemical Engineering 48, 73-78, 2020 | 8 | 2020 |
| An integrated dimensionality reduction and surrogate optimization approach for plant‐wide chemical process operation TR Savage, F Almeida‐Trasvina, EA del‐Rio Chanona, R Smith, D Zhang AIChE Journal 67 (11), e17358, 2021 | 7 | 2021 |
| Discovery of mixing characteristics for enhancing coiled reactor performance through a Bayesian optimisation-CFD approach N Basha, T Savage, J McDonough, EA del Rio Chanona, OK Matar Chemical Engineering Journal 473, 145217, 2023 | 6 | 2023 |
| Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations T Savage, N Basha, J McDonough, OK Matar, EAR Chanona Computers & Chemical Engineering 179, 2023 | 5 | 2023 |
| Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors T Savage, N Basha, O Matar, ADR Chanona NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and …, 2022 | 5 | 2022 |
| Model-free safe reinforcement learning for chemical processes using Gaussian processes T Savage, D Zhang, M Mowbray, EADR Chanona IFAC-PapersOnLine 54 (3), 504-509, 2021 | 5 | 2021 |
| Surrogate Modelling and Optimization for Complex Liquefied Natural Gas Refrigeration Cycles T Savage, F Almeida-Trasvina, A Del-Rio Chanona, R Smith, D Zhang 21st IFAC World Congress 53 (2), 11193-11198, 2021 | 4 | 2021 |
| Machine Learning-Assisted Discovery of Novel Reactor Designs T Savage, N Basha, J McDonough, OK Matar, EAR Chanona arXiv preprint arXiv:2308.08841, 2023 | 2 | 2023 |
| Robust Market Potential Assessment: Designing optimal policies for low-carbon technology adoption in an increasingly uncertain world T Savage, AR Chanona, G Oluleye arXiv preprint arXiv:2304.10203, 2023 | 2 | 2023 |
| Superstructure Reaction Network Design for the Synthesis of Biobased Sustainable Nitrogen-Containing Polymers TR Savage, D Zhang Industrial & Engineering Chemistry Research 59 (10), 4688-4697, 2020 | 2 | 2020 |
| Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems T Savage, EAR Chanona arXiv preprint arXiv:2404.10949, 2024 | | 2024 |
| Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems T Savage, EAR Chanona NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023 | | 2023 |
| Research data supporting Universal Digital Twin–the impact of heat pumps on social inequality T Savage, J Akroyd, S Mosbach, M Hillman, F Sielker, M Kraft | | 2021 |
Max MowbrayImperial College LondonDirección de correo verificada de imperial.ac.uk
