Towards fast and accurate predictions of radio frequency power deposition and current profile via data-driven modelling: applications to lower hybrid current drive | | 2022 | 0 |
GPJax: A Gaussian Process Framework in JAX | | 2022 | |
Stochastic gradient line Bayesian optimization for efficient noise-robust optimization of parameterized quantum circuits | | 2022 | 1 |
On the Identification of Material Constitutive Model Parameters Using Machine Learning Algorithms | Key Engineering Materials | | |
Bayesian Inference with Gaussian Process Surrogates to Characterize Anisotropic Mechanical Properties of Skin From Suction Tests | Journal of Biomechanical Engineering | 2022 | |
Multi-fidelity modeling to predict the rheological properties of a suspension of fibers using neural networks and Gaussian processes | Physics of Fluids | 2022 | 0 |
Optimal experiment design for a bottom friction parameter estimation problem | GEM - International Journal on Geomathematics | 2022 | |
Sedimentological data-driven bottom friction parameter estimation in modelling Bristol Channel tidal dynamics | Ocean Dynamics | | 0 |
Data_Sheet_3.pdf | | 2019 | |
Data_Sheet_2.zip | | 2019 | |
Data_Sheet_1.zip | | 2019 | |
Data_Sheet_1.pdf | | 2018 | |
ROmodel: modeling robust optimization problems in Pyomo | Optimization and Engineering | | 0 |
A framework to optimize spring-driven autoinjectors. | International Journal of Pharmaceutics | 2022 | 0 |
Smart Process Development: Application of machine-learning and integrated process modeling for inclusion body purification processes. | Biotechnology Progress | 2022 | 1 |
Agents for sequential learning using multiple-fidelity data. | Scientific Reports | 2022 | 0 |
Characterizing Prediction Uncertainty in Agricultural Modeling via a Coupled Statistical–Physical Framework | Modelling | 2021 | |
A robust approach to warped Gaussian process-constrained optimization | Mathematical Programming | | 0 |
Adversarially robust Bayesian optimization for efficient auto‐tuning of generic control structures under uncertainty | AICHE Journal | | 0 |
Multi-Fidelity Information Fusion to Model the Position-Dependent Modal Properties of Milling Robots | Robotics | 2022 | 0 |
A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation. | ACS Applied Materials & Interfaces | 2022 | 4 |
Bayesian optimization of traveling wave-like wall deformation for friction drag reduction in turbulent channel flow | Journal of Fluid Science and Technology | 2021 | 0 |
PEAKIT: A Gaussian Process regression analysis tool for chemical exchange saturation transfer spectra. | Journal of Magnetic Resonance | 2022 | 0 |
Assessing therapy response in patient-derived xenografts | Science Translational Medicine | 2021 | 2 |
Teeport: Break the Wall Between the Optimization Algorithms and Problems | Frontiers in Big Data | 2021 | |