| Data-driven model development for cardiomyocyte production experimental failure prediction B Williams, C Halloin, W Löbel, F Finklea, E Lipke, R Zweigerdt, ... Computer aided chemical engineering 48, 1639-1644, 2020 | 50 | 2020 |
| Surrogate model selection for design space approximation and surrogatebased optimization BA Williams, S Cremaschi Computer aided chemical engineering 47, 353-358, 2019 | 38 | 2019 |
| Selection of surrogate modeling techniques for surface approximation and surrogate-based optimization B Williams, S Cremaschi Chemical Engineering Research and Design 170, 76-89, 2021 | 36 | 2021 |
| Prediction of human induced pluripotent stem cell cardiac differentiation outcome by multifactorial process modeling B Williams, W Löbel, F Finklea, C Halloin, K Ritzenhoff, F Manstein, ... Frontiers in bioengineering and biotechnology 8, 851, 2020 | 23 | 2020 |
| Emulsion‐based encapsulation of pluripotent stem cells in hydrogel microspheres for cardiac differentiation S Chang, F Finklea, B Williams, H Hammons, A Hodge, S Scott, E Lipke Biotechnology progress 36 (4), e2986, 2020 | 22 | 2020 |
| PRESTO: Predictive REcommendation of Surrogate models to approximate and Optimize B Williams, J Otashu, S Leyland, MR Eden, S Cremaschi Chemical Engineering Science 249, 117360, 2022 | 11 | 2022 |
| Novel tool for selecting surrogate modeling techniques for surface approximation B Williams, S Cremaschi Computer aided chemical engineering 50, 451-456, 2021 | 7 | 2021 |
| Classification of cardiac differentiation outcome, percentage of cardiomyocytes on day 10 of differentiation, for hydrogel‐encapsulated hiPSCs S Mohammadi, M Hashemi, F Finklea, B Williams, E Lipke, S Cremaschi Journal of Advanced Manufacturing and Processing 5 (2), e10148, 2023 | 3 | 2023 |
| Surrogate Modeling and Surrogate-Based Optimization with Stochastic Simulations S Mohammadi, B Williams, S Cremaschi Computer Aided Chemical Engineering 49, 31-40, 2022 | 3 | 2022 |
| Classification of cardiomyocyte content differentiated from human induced pluripotent stem cells S Mohammadi, F Finklea, M Hashemi, B Williams, E Lipke, S Cremaschi 2021 AIChE Annual Meeting, 2021 | 1 | 2021 |
| Modeling and Control of Crystallization II T Vetter, A Eren, B Williams 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Modeling and Control of Crystallization I A Eren, B Williams, T Vetter 2024 AIChE Annual Meeting, 2024 | | 2024 |
| An Integrated Framework for Sand Handling in Wellbore and Surface Facilities PZ Santhamoorthy, B Williams, K Sambath, HJ Subramani, S Cremaschi Geoenergy Science and Engineering, 212947, 2024 | | 2024 |
| Kinetic Model Driven Optimization and Control of a Hydrogenation Reaction System B Williams, C Salazar, L Han, T Makowski, J Mustakis, J Smith, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| A Novel Surrogate-Based Derivative-Free Optimization Algorithm B Williams, S Cremaschi 2022 AIChE Annual Meeting, 2022 | | 2022 |
| From Data to Decisions: Development of Surrogate Models for Process Optimization B Williams | | 2022 |
| Systematic Selection of Surrogate Modeling Techniques for Surrogate-Based Optimization Using Presto (Predictive REcommendations of Surrogate models To Optimize) B Williams, S Cremaschi 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Efficient Optimization and Accurate Approximation Using Surrogate Models–Tools and Case Studies from RAPID Synopsis Project B Williams, SH Kim, MS Monjur, S Ravutla, F Boukouvala, S Cremaschi, ... 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Comparison of Surrogate Modeling Techniques for Design Space Approximation and Surrogate-Based Optimization: Effect of Sampling Technique and Sample Size B Williams, S Cremaschi 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Surrogate-Based Optimization Using Random Forests Z Zeng, B Williams, S Cremaschi 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
