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Nano-crumples induced Sn-Bi bimetallic interface pattern with moderate electron bank for highly efficient CO2 electroreduction

Nature communications, 2022-05, Vol.13 (1), p.2486-2486, Article 2486

2022

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New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability

Computers & chemical engineering, 2020-01, Vol.132, p.106610, Article 106610

2020

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Stochastic back‐off algorithm for simultaneous design, control, and scheduling of multiproduct systems under uncertainty

AIChE journal, 2018-07, Vol.64 (7), p.2379-2389

2018

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Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach

Computers & chemical engineering, 2018-11, Vol.119, p.465-479

2018

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Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks

Chemical engineering science, 2019-11, Vol.207, p.1230-1245

2019

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A trust‐region framework for integration of design and control

AIChE journal, 2020-05, Vol.66 (5), p.n/a

2020

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Artificial Neural Network Discrimination for Parameter Estimation and Optimal Product Design of Thin Films Manufactured by Chemical Vapor Deposition

Journal of physical chemistry. C, 2020-08, Vol.124 (34), p.18615-18627

2020

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Assessing the Impact of EKF as the Arrival Cost in the Moving Horizon Estimation under Nonlinear Model Predictive Control

Industrial & engineering chemistry research, 2021-02, Vol.60 (7), p.2994-3012

2021

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A theoretical study on CO2 electrolysis through synergistic manipulation of Ni/Mn doping and oxygen vacancies in La(Sr)FeO3

Journal of catalysis, 2020-03, Vol.383, p.273-282

2020

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The effect of 'Traffic-Light' nutritional labelling in carbonated soft drink purchases in Ecuador

PloS one, 2019-10, Vol.14 (10), p.e0222866-e0222866

2019

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Constrained Abridged Gaussian Sum Extended Kalman Filter: Constrained Nonlinear Systems with Non-Gaussian Noises and Uncertainties

Industrial & engineering chemistry research, 2021-12, Vol.60 (47), p.17110-17127

2021

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Defect‐Enriched Nitrogen Doped–Graphene Quantum Dots Engineered NiCo2S4 Nanoarray as High‐Efficiency Bifunctional Catalyst for Flexible Zn‐Air Battery

Small (Weinheim an der Bergstrasse, Germany), 2019-10, Vol.15 (44), p.n/a

2019

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Dynamic optimization of a pilot-scale entrained-flow gasifier using artificial recurrent neural networks

Fuel (Guildford), 2020-07, Vol.272, p.117731, Article 117731

2020

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Multilevel Monte Carlo applied for uncertainty quantification in stochastic multiscale systems

AIChE journal, 2020-08, Vol.66 (8), p.n/a

2020

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Extended moving horizon estimation for chemical processes under non‐Gaussian noises

AIChE journal, 2022-03, Vol.68 (3), p.n/a

2022

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Stochastic Back-Off Approach for Integration of Design and Control Under Uncertainty

Industrial & engineering chemistry research, 2018-03, Vol.57 (12), p.4351-4365

2018

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Dynamic modelling and optimal control strategies for chemical-looping combustion in an industrial-scale packed bed reactor

Fuel (Guildford), 2020-02, Vol.262, p.116544, Article 116544

2020

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Simultaneous design and NMPC control under uncertainty and structural decisions: A discrete‐steepest descent algorithm

AIChE journal, 2023-11, Vol.69 (11)

2023

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Multilevel Monte Carlo applied to chemical engineering systems subject to uncertainty

AIChE journal, 2018-05, Vol.64 (5), p.1651-1661

2018

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Distributional uncertainty analysis and robust optimization in spatially heterogeneous multiscale process systems

AIChE journal, 2016-07, Vol.62 (7), p.2374-2390

2016

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First-Principles Based Microkinetic Modeling of CO2 Reduction at the Ni/SDC Cathode of a Solid Oxide Electrolysis Cell

Journal of physical chemistry. C, 2018-09, Vol.122 (37), p.21151-21161

2018

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Stochastic nonlinear model predictive control applied to a thin film deposition process under uncertainty

Chemical engineering science, 2016-02, Vol.140, p.90-103

2016

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A comparison of efficient uncertainty quantification techniques for stochastic multiscale systems

AIChE journal, 2017-08, Vol.63 (8), p.3361-3373

2017

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Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage

Chemical engineering research & design, 2021-10, Vol.174, p.414-441

2021

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Integration of Design and Control of Dynamic Systems under Uncertainty: A New Back-Off Approach

Industrial & engineering chemistry research, 2016-01, Vol.55 (2), p.485-498

2016

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Nano-crumples induced Sn-Bi bimetallic interface pattern with moderate electron bank for highly efficient CO2 electroreduction

New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability

Stochastic back‐off algorithm for simultaneous design, control, and scheduling of multiproduct systems under uncertainty

Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach

Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks

A trust‐region framework for integration of design and control

Artificial Neural Network Discrimination for Parameter Estimation and Optimal Product Design of Thin Films Manufactured by Chemical Vapor Deposition

Assessing the Impact of EKF as the Arrival Cost in the Moving Horizon Estimation under Nonlinear Model Predictive Control

A theoretical study on CO2 electrolysis through synergistic manipulation of Ni/Mn doping and oxygen vacancies in La(Sr)FeO3

The effect of 'Traffic-Light' nutritional labelling in carbonated soft drink purchases in Ecuador

Constrained Abridged Gaussian Sum Extended Kalman Filter: Constrained Nonlinear Systems with Non-Gaussian Noises and Uncertainties

Defect‐Enriched Nitrogen Doped–Graphene Quantum Dots Engineered NiCo2S4 Nanoarray as High‐Efficiency Bifunctional Catalyst for Flexible Zn‐Air Battery

Dynamic optimization of a pilot-scale entrained-flow gasifier using artificial recurrent neural networks

Multilevel Monte Carlo applied for uncertainty quantification in stochastic multiscale systems

Extended moving horizon estimation for chemical processes under non‐Gaussian noises

Stochastic Back-Off Approach for Integration of Design and Control Under Uncertainty

Dynamic modelling and optimal control strategies for chemical-looping combustion in an industrial-scale packed bed reactor

Simultaneous design and NMPC control under uncertainty and structural decisions: A discrete‐steepest descent algorithm

Multilevel Monte Carlo applied to chemical engineering systems subject to uncertainty

Distributional uncertainty analysis and robust optimization in spatially heterogeneous multiscale process systems

First-Principles Based Microkinetic Modeling of CO2 Reduction at the Ni/SDC Cathode of a Solid Oxide Electrolysis Cell

Stochastic nonlinear model predictive control applied to a thin film deposition process under uncertainty

A comparison of efficient uncertainty quantification techniques for stochastic multiscale systems

Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage

Integration of Design and Control of Dynamic Systems under Uncertainty: A New Back-Off Approach

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