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Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions

PLoS computational biology, 2019-08, Vol.15 (8), p.e1007308-e1007308

2019

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Layer Number Dependence of MoS2 Photoconductivity Using Photocurrent Spectral Atomic Force Microscopic Imaging

ACS nano, 2015-03, Vol.9 (3), p.2843-2855

2015

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Bifunctional Catalysts for Alkaline Oxygen Reduction Reaction via Promotion of Ligand and Ensemble Effects at Ag/MnOx Nanodomains

Journal of physical chemistry. C, 2012-05, Vol.116 (20), p.11032-11039

2012

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Stochastic physics-informed neural ordinary differential equations

Journal of computational physics, 2022-11, Vol.468, p.111466, Article 111466

2022

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Ultrasensitive and Selective Detection of SARS-CoV-2 Using Thermotropic Liquid Crystals and Image-Based Machine Learning

Cell reports physical science, 2020-12, Vol.1 (12), p.100276-100276, Article 100276

2020

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Adversarially robust Bayesian optimization for efficient auto‐tuning of generic control structures under uncertainty

AIChE journal, 2022-06, Vol.68 (6), p.n/a

2022

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An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems

International journal of robust and nonlinear control, 2019-10, Vol.29 (15), p.5017-5037

2019

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Stochastic model predictive control — how does it work?

Computers & chemical engineering, 2018-06, Vol.114, p.158-170

2018

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Constrained robust Bayesian optimization of expensive noisy black‐box functions with guaranteed regret bounds

AIChE journal, 2022-12, Vol.68 (12), p.n/a

2022

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Stochastic model predictive control with joint chance constraints

International journal of control, 2020-01, Vol.93 (1), p.126-139

2020

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Computationally efficient integrated design and predictive control of flexible energy systems using multi‐fidelity simulation‐based Bayesian optimization

Optimal control applications & methods, 2023-03, Vol.44 (2), p.549-576

2023

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Model Predictive Control of an Integrated Continuous Pharmaceutical Manufacturing Pilot Plant

Organic process research & development, 2017-06, Vol.21 (6), p.844-854

2017

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A combined canonical variate analysis and Fisher discriminant analysis (CVA–FDA) approach for fault diagnosis

Computers & chemical engineering, 2015-06, Vol.77, p.1-9

2015

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Input Design for Online Fault Diagnosis of Nonlinear Systems with Stochastic Uncertainty

Industrial & engineering chemistry research, 2017-08, Vol.56 (34), p.9593-9605

2017

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Deep learning for characterizing the self-assembly of three-dimensional colloidal systems

Soft matter, 2021-01, Vol.17 (4), p.989-999

2021

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Formal Certification Methods for Automated Vehicle Safety Assessment

IEEE transactions on intelligent vehicles, 2023-01, Vol.8 (1), p.232-249

2023

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Understanding Rapid PET Degradation via Reactive Molecular Dynamics Simulation and Kinetic Modeling

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2023-09, Vol.127 (35), p.7323-7334

2023

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Bifunctional Catalysts for Alkaline Oxygen Reduction Reaction via Promotion of Ligand and Ensemble Effects at Ag/MnO x Nanodomains

Journal of physical chemistry. C, 2012-05, Vol.116 (20), p.11032-11039

2012

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Model predictive control with active learning under model uncertainty: Why, when, and how

AIChE journal, 2018-08, Vol.64 (8), p.3071-3081

2018

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Control of self-assembly in micro- and nano-scale systems

Journal of process control, 2015-03, Vol.27, p.38-49

2015

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Model-Based Feedback Control of a kHz-Excited Atmospheric Pressure Plasma Jet

IEEE transactions on radiation and plasma medical sciences, 2018-03, Vol.2 (2), p.129-137

2018

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Real-time implementation of nonlinear model predictive control for high angle of attack Maneuvers in fighter aircrafts using deep learning

Systems science & control engineering, 2024-12, Vol.12 (1)

2024

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An Analytical Solution for Exciton Generation, Reaction, and Diffusion in Nanotube and Nanowire-Based Solar Cells

The journal of physical chemistry letters, 2016-07, Vol.7 (14), p.2683-2688

2016

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An Adaptive Model Predictive Control Strategy for Nonlinear Distributed Parameter Systems using the Type-2 Takagi–Sugeno Model

International Journal of Fuzzy Systems, 2016-10, Vol.18 (5), p.792-805

2016

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COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information

Computers & chemical engineering, 2022-04, Vol.160, p.107700, Article 107700

2022

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Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions

Layer Number Dependence of MoS2 Photoconductivity Using Photocurrent Spectral Atomic Force Microscopic Imaging

Bifunctional Catalysts for Alkaline Oxygen Reduction Reaction via Promotion of Ligand and Ensemble Effects at Ag/MnOx Nanodomains

Stochastic physics-informed neural ordinary differential equations

Ultrasensitive and Selective Detection of SARS-CoV-2 Using Thermotropic Liquid Crystals and Image-Based Machine Learning

Adversarially robust Bayesian optimization for efficient auto‐tuning of generic control structures under uncertainty

An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems

Stochastic model predictive control — how does it work?

Constrained robust Bayesian optimization of expensive noisy black‐box functions with guaranteed regret bounds

Stochastic model predictive control with joint chance constraints

Computationally efficient integrated design and predictive control of flexible energy systems using multi‐fidelity simulation‐based Bayesian optimization

Model Predictive Control of an Integrated Continuous Pharmaceutical Manufacturing Pilot Plant

A combined canonical variate analysis and Fisher discriminant analysis (CVA–FDA) approach for fault diagnosis

Input Design for Online Fault Diagnosis of Nonlinear Systems with Stochastic Uncertainty

Deep learning for characterizing the self-assembly of three-dimensional colloidal systems

Formal Certification Methods for Automated Vehicle Safety Assessment

Understanding Rapid PET Degradation via Reactive Molecular Dynamics Simulation and Kinetic Modeling

Bifunctional Catalysts for Alkaline Oxygen Reduction Reaction via Promotion of Ligand and Ensemble Effects at Ag/MnO x Nanodomains

Model predictive control with active learning under model uncertainty: Why, when, and how

Control of self-assembly in micro- and nano-scale systems

Model-Based Feedback Control of a kHz-Excited Atmospheric Pressure Plasma Jet

Real-time implementation of nonlinear model predictive control for high angle of attack Maneuvers in fighter aircrafts using deep learning

An Analytical Solution for Exciton Generation, Reaction, and Diffusion in Nanotube and Nanowire-Based Solar Cells

An Adaptive Model Predictive Control Strategy for Nonlinear Distributed Parameter Systems using the Type-2 Takagi–Sugeno Model

COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information

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