Fani Boukouvala

发表

Nationwide, Regional, and Statewide CO2 Capture, Utilization, and Sequestration Supply Chain Network Optimization

Eric L. First, C. Floudas, M. Hasan, 2014 .

Fani Boukouvala, Fani Boukouvala, 2019 .

Flexible multipurpose Continuous processing: Integration of process flow modeling for continuous processing of pharmaceutical solid dosage forms

Fernando J. Muzzio, Fani Boukouvala, Rohit Ramachandran, 2012 .

Dimensionality reduction for production optimization using polynomial approximations

Christodoulos A. Floudas, Eduardo Gildin, Fani Boukouvala, 2017, Computational Geosciences.

Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization

Fani Boukouvala, Jianyuan Zhai, 2022, Optimization and Engineering.

Data-Driven Simultaneous Process Optimization and Adsorbent Selection for Vacuum Pressure Swing Adsorption

M. Realff, Suryateja Ravutla, Fani Boukouvala, 2022, Chemical Engineering Research and Design.

Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization

Fani Boukouvala, Jianyuan Zhai, 2021, Journal of Global Optimization.

Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption

C. Floudas, M. Hasan, Fani Boukouvala, 2015, Journal of Global Optimization.

Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques

Fani Boukouvala, Sun Hye Kim, 2019, Optimization Letters.

Stages and Kinetics of Mechanochemical Depolymerization of Poly(ethylene terephthalate) with Sodium Hydroxide

Christopher W. Jones, S. Nair, Carsten Sievers, 2022, ACS Sustainable Chemistry & Engineering.

Managing uncertainty in data-driven simulation-based optimization

Matthew J. Realff, Jianyuan Zhai, Fani Boukouvala, 2020, Comput. Chem. Eng..

A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU

Christodoulos A. Floudas, M. M. Faruque Hasan, Fani Boukouvala, 2015, Comput. Chem. Eng..

Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO

Christodoulos A. Floudas, Ruth Misener, Fani Boukouvala, 2016, Eur. J. Oper. Res..

ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems

Christodoulos A. Floudas, Fani Boukouvala, C. Floudas, 2017, Optim. Lett..

Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization

Jianyuan Zhai, Fani Boukouvala, Fani Boukouvala, 2021, J. Glob. Optim..

Surrogate-based optimization for mixed-integer nonlinear problems

Fani Boukouvala, Sun Hye Kim, Fani Boukouvala, 2020, Comput. Chem. Eng..

Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques

Fani Boukouvala, Sun Hye Kim, Fani Boukouvala, 2019, Optimization Letters.

Nonlinear variable selection algorithms for surrogate modeling

Jianyuan Zhai, Fani Boukouvala, Fani Boukouvala, 2019, AIChE Journal.

Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption

Christodoulos A. Floudas, M. M. Faruque Hasan, Fani Boukouvala, 2017, J. Glob. Optim..

Reduced-order discrete element method modeling

Fernando J. Muzzio, Fani Boukouvala, Marianthi G. Ierapetritou, 2013 .

An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process

Marianthi G. Ierapetritou, Fernando J. Muzzio, Fani Boukouvala, 2012, Comput. Chem. Eng..

Optimal design of energy systems using constrained grey-box multi-objective optimization

Efstratios N. Pistikopoulos, Christodoulos A. Floudas, Fani Boukouvala, 2018, Comput. Chem. Eng..

Preface for Special Issue on Frameworks for Process Intensification and Modularization

Michael Baldea, M. M. Faruque Hasan, Fani Boukouvala, 2019, Industrial & Engineering Chemistry Research.

Feasibility analysis of black-box processes using an adaptive sampling Kriging-based method

Marianthi G. Ierapetritou, Fani Boukouvala, M. Ierapetritou, 2012, Comput. Chem. Eng..

Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations

Christodoulos A. Floudas, Eduardo Gildin, Fani Boukouvala, 2018, Comput. Chem. Eng..

Optimization of black-box problems using Smolyak grids and polynomial approximations

C. Floudas, C. Kieslich, Fani Boukouvala, 2018, Journal of Global Optimization.

Optimization of black-box problems using Smolyak grids and polynomial approximations

Christodoulos A. Floudas, Fani Boukouvala, Chris A. Kieslich, 2018, J. Glob. Optim..

Derivative‐free optimization for expensive constrained problems using a novel expected improvement objective function

Marianthi G. Ierapetritou, Fani Boukouvala, M. Ierapetritou, 2014 .

Surrogate-Based Optimization of Expensive Flowsheet Modeling for Continuous Pharmaceutical Manufacturing

M. Ierapetritou, Fani Boukouvala, 2013, Journal of Pharmaceutical Innovation.

INTEGRATED SIMULATION AND OPTIMIZATION OF CONTINUOUS PHARMACEUTICAL MANUFACTURING

Fani Boukouvala, Fani Boukouvala, 2013 .

Computational Approaches for Studying the Granular Dynamics of Continuous Blending Processes, 2 – Population Balance and Data‐Based Methods

Marianthi G. Ierapetritou, Fernando J. Muzzio, Atul Dubey, 2012 .

Computer Aided Design and Analysis of Continuous Pharmaceutical Manufacturing Processes

Marianthi G. Ierapetritou, Fernando J. Muzzio, Aditya U. Vanarase, 2011 .

Dynamic Data-Driven Modeling of Pharmaceutical Processes

Marianthi G. Ierapetritou, Fernando J. Muzzio, Fani Boukouvala, 2011 .

Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression

Jinhyeun Kim, Fani Boukouvala, K. Paynabar, 2023, Comput. Chem. Eng..

Data-Driven Spatial Branch-And-Bound Algorithms For Black-Box Optimization

Jianyuan Zhai, Fani Boukouvala, Fani Boukouvala, 2019, Computer Aided Chemical Engineering.

Perspectives on the integration between first-principles and data-driven modeling

C. Laird, Jinhyeun Kim, Fani Boukouvala, 2022, Comput. Chem. Eng..

Computer-Aided Flowsheet Simulation of a Pharmaceutical Tablet Manufacturing Process Incorporating Wet Granulation

Fani Boukouvala, Anwesha Chaudhury, Rohit Ramachandran, 2013, Journal of Pharmaceutical Innovation.

Methods and Tools for Design Space Identification in Pharmaceutical Development

Marianthi G. Ierapetritou, Fernando J. Muzzio, Fani Boukouvala, 2017 .

INTEGRATED SIMULATION AND OPTIMIZATION OF CONTINUOUS PHARMACEUTICAL MANUFACTURING

Fani Boukouvala, 2013 .

Predictive modeling of pharmaceutical processes with missing and noisy data

Marianthi G. Ierapetritou, Fernando J. Muzzio, Fani Boukouvala, 2010 .

Design Space of Pharmaceutical Processes Using Data-Driven-Based Methods

Marianthi G. Ierapetritou, Fernando J. Muzzio, Fani Boukouvala, 2010, Journal of Pharmaceutical Innovation.

Process development and techno-economic analysis for mechanochemical recycling of poly(ethylene terephthalate)

S. Nair, Fani Boukouvala, Kinga Gołąbek, 2023, Chemical Engineering Journal.

Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow

C. Laird, Fani Boukouvala, Zachary Kilwein, 2023, Energies.

Modeling Mechanochemical Depolymerization of PET in Ball-Mill Reactors Using DEM Simulations

Fani Boukouvala, Elisavet Anglou, William Bradley, 2024, ACS Sustainable Chemistry & Engineering.

Physics-informed machine learning with optimization-based guarantees: Applications to AC power flow

Fani Boukouvala, Zachary Kilwein, Logan Blakely, 2024, International Journal of Electrical Power & Energy Systems.

Fitting micro-kinetic models to transient kinetics of temporal analysis of product reactors using kinetics-informed neural networks

Fani Boukouvala, Dingqi Nai, G. S. Gusmão, 2024, ArXiv.

Enabling global interpolation, derivative estimation and model identification from sparse multi-experiment time series data via neural ODEs

Fani Boukouvala, William Bradley, Ron Volkovinsky, 2024, Eng. Appl. Artif. Intell..