135
Citations

Citing Articles

TitleJournalYearCitations
Towards fast and accurate predictions of radio frequency power deposition and current profile via data-driven modelling: applications to lower hybrid current drive2022
GPJax: A Gaussian Process Framework in JAX2022
Stochastic gradient line Bayesian optimization for efficient noise-robust optimization of parameterized quantum circuits2022
On the Identification of Material Constitutive Model Parameters Using Machine Learning AlgorithmsKey Engineering Materials
Bayesian Inference with Gaussian Process Surrogates to Characterize Anisotropic Mechanical Properties of Skin From Suction TestsJournal of Biomechanical Engineering2022
Multi-fidelity modeling to predict the rheological properties of a suspension of fibers using neural networks and Gaussian processesPhysics of Fluids20220
Optimal experiment design for a bottom friction parameter estimation problemGEM - International Journal on Geomathematics2022
Sedimentological data-driven bottom friction parameter estimation in modelling Bristol Channel tidal dynamicsOcean Dynamics
Data_Sheet_3.pdf2019
Data_Sheet_2.zip2019
Data_Sheet_1.zip2019
Data_Sheet_1.pdf2018
ROmodel: modeling robust optimization problems in PyomoOptimization and Engineering0
A framework to optimize spring-driven autoinjectors.International Journal of Pharmaceutics2022
Smart Process Development: Application of machine-learning and integrated process modeling for inclusion body purification processes.Biotechnology Progress20221
Agents for sequential learning using multiple-fidelity data.Scientific Reports20220
Characterizing Prediction Uncertainty in Agricultural Modeling via a Coupled Statistical–Physical FrameworkModelling2021
A robust approach to warped Gaussian process-constrained optimizationMathematical Programming0
Adversarially robust Bayesian optimization for efficient auto‐tuning of generic control structures under uncertaintyAICHE Journal1
Multi-Fidelity Information Fusion to Model the Position-Dependent Modal Properties of Milling RobotsRobotics20220
A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation.ACS Applied Materials & Interfaces20220
Bayesian optimization of traveling wave-like wall deformation for friction drag reduction in turbulent channel flowJournal of Fluid Science and Technology20210
PEAKIT: A Gaussian Process regression analysis tool for chemical exchange saturation transfer spectra.Journal of Magnetic Resonance20220
Assessing therapy response in patient-derived xenograftsScience Translational Medicine20210
Teeport: Break the Wall Between the Optimization Algorithms and ProblemsFrontiers in Big Data2021