Achieving Optimal Paper Properties: A Layered Multiscale kMC and LSTM-ANN-Based Control Approach for Kraft Pulping

Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters

(2022) Parth Shah et al.   CHEMICAL ENGINEERING JOURNAL

Machine learning modeling and predictive control of nonlinear processes using noisy data

(2021) Zhe Wu et al.   AICHE JOURNAL

LSTM-Based Model Predictive Control for Optimal Temperature Set-Point Planning

(2021) Byung-Ki Jeon et al.   Sustainability

Application of offset‐free Koopman‐based model predictive control to a batch pulp digester

(2021) Sang Hwan Son et al.   AICHE JOURNAL

A slip-spring framework to study relaxation dynamics of entangled wormlike micelles with kinetic Monte Carlo algorithm

(2021) Silabrata Pahari et al.   JOURNAL OF COLLOID AND INTERFACE SCIENCE

Bioremediation of lignin derivatives and phenolics in wastewater with lignin modifying enzymes: Status, opportunities and challenges

(2021) Anil Kumar Singh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

LSTM and GRU Neural Networks as Models of Dynamical Processes Used in Predictive Control: A Comparison of Models Developed for Two Chemical Reactors

(2021) Krzysztof Zarzycki et al.   SENSORS

Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

(2021) Maarten R. Dobbelaere et al.   Engineering

Model predictive control for wormlike micelles (WLMs): Application to a system of CTAB and NaCl

(2021) Silabrata Pahari et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength

(2021) Juyeong Jung et al.   COMPUTERS & CHEMICAL ENGINEERING

Hybrid Koopman model predictive control of nonlinear systems using multiple EDMD models: An application to a batch pulp digester with feed fluctuation

(2021) Sang Hwan Son et al.   CONTROL ENGINEERING PRACTICE

Estimation of Microstructural Properties of Wormlike Micelles Via a Multi-Scale Multi-Recommendation Batch Bayesian Optimization

(2021) Silabrata Pahari et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Multiscale modeling and multiobjective control of wood fiber morphology in batch pulp digester

(2020) Hyun‐Kyu Choi et al.   AICHE JOURNAL

Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity

(2020) Sang Hwan Son et al.   COMPUTERS & CHEMICAL ENGINEERING

Multiscale modeling and control of Kappa number and porosity in a batch‐type pulp digester

(2019) Hyun‐Kyu Choi et al.   AICHE JOURNAL

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

(2019) Yong Yu et al.   NEURAL COMPUTATION

A Practical Guide to Surface Kinetic Monte Carlo Simulations

(2019) Mie Andersen et al.   Frontiers in Chemistry

Modeling and control of cell wall thickness in batch delignification

(2019) Hyun-Kyu Choi et al.   COMPUTERS & CHEMICAL ENGINEERING

Machine learning-based adaptive model identification of systems: Application to a chemical process

(2019) Bhavana Bhadriraju et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Effects of firm characteristics and energy management for improving energy efficiency in the pulp and paper industry

(2018) Akvile Lawrence et al.   ENERGY

Green Production Planning and Control Model with ABC under Industry 4.0 for the Paper Industry

(2018) Wen-Hsien Tsai et al.   Sustainability

The promise of artificial intelligence in chemical engineering: Is it here, finally?

(2018) Venkat Venkatasubramanian   AICHE JOURNAL

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Global sustainability megaforces in shaping the future of the European pulp and paper industry towards a bioeconomy

(2016) Satu Pätäri et al.   FOREST POLICY AND ECONOMICS

Municipal Solid Waste Generation, Composition, and Management: The World Scenario

(2012) Tanmoy Karak et al.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY

Chemical composition and pulp characterization of Tunisian vine stems

(2011) Samar Mansouri et al.   INDUSTRIAL CROPS AND PRODUCTS

Chemical composition and pulping of date palm rachis and Posidonia oceanica – A comparison with other wood and non-wood fibre sources

(2009) R. Khiari et al.   BIORESOURCE TECHNOLOGY