Neural Network Programming: Integrating First Principles into Machine Learning Models

Recent trends on hybrid modeling for Industry 4.0

(2021) Joel Sansana et al.   COMPUTERS & CHEMICAL ENGINEERING

A computationally efficient formulation of the governing equations for unit operation design

(2021) Andres Carranza-Abaid et al.   COMPUTERS & CHEMICAL ENGINEERING

Analysis and selection of optimal solvent-based technologies for biogas upgrading

(2021) Andrés Carranza-Abaid et al.   FUEL

A Petlyuk distillation column dynamic analysis: Hysteresis and bifurcations

(2020) Andrés Carranza-Abaíd et al.   CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION

Deep learning methods in protein structure prediction

(2020) Mirko Torrisi et al.   Computational and Structural Biotechnology Journal

Deep Dive into Machine Learning Models for Protein Engineering

(2020) Yuting Xu et al.   Journal of Chemical Information and Modeling

Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models

(2020) Timur Bikmukhametov et al.   COMPUTERS & CHEMICAL ENGINEERING

A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation

(2020) Francesco Destro et al.   JOURNAL OF PROCESS CONTROL

Superconducting quantum computing: a review

(2020) He-Liang Huang et al.   Science China-Information Sciences

A Novel Robust Digital Design of a Network of Industrial Continuous Cooling Crystallizers of Dextrose Monohydrate: From Laboratory Experiments to Industrial Application

(2020) Botond Szilagyi et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Artificial neural network modelling for cream cheese fermentation pH prediction at lab and industrial scales

(2020) Misagh Ebrahimpour et al.   FOOD AND BIOPRODUCTS PROCESSING

Solving vapor-liquid flash problems using artificial neural networks

(2019) Jonah P. Poort et al.   FLUID PHASE EQUILIBRIA

Hybrid modeling based on mechanistic and data-driven approaches for cane sugar crystallization

(2019) Yanmei Meng et al.   JOURNAL OF FOOD ENGINEERING

Grandmaster level in StarCraft II using multi-agent reinforcement learning

(2019) Oriol Vinyals et al.   NATURE

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

(2018) Venkat Venkatasubramanian   AICHE JOURNAL

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Daedalus Modeling Framework: Building First-Principle Dynamic Models

(2017) João R. Leal et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

(2015) Benjamin Letham et al.   Annals of Applied Statistics

Computer-aided modelling template: Concept and application

(2015) Marina Fedorova et al.   COMPUTERS & CHEMICAL ENGINEERING

A computer-aided framework for development, identification and management of physiologically-based pharmacokinetic models

(2014) Martina Heitzig et al.   COMPUTERS & CHEMICAL ENGINEERING

Adaptive sequential sampling for surrogate model generation with artificial neural networks

(2014) John Eason et al.   COMPUTERS & CHEMICAL ENGINEERING

Optimization of CO2 Capture Process with Aqueous Amines—A Comparison of Two Simulation–Optimization Approaches

(2013) Aroonsri Nuchitprasittichai et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

MOSAIC a web-based modeling environment for code generation

(2011) S. Kuntsche et al.   COMPUTERS & CHEMICAL ENGINEERING

Hybrid modeling of penicillin fermentation process based on least square support vector machine

(2009) Xianfang Wang et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Modeling and optimization with Optimica and JModelica.org—Languages and tools for solving large-scale dynamic optimization problems

(2009) J. Åkesson et al.   COMPUTERS & CHEMICAL ENGINEERING

Incremental identification of hybrid process models

(2007) O. Kahrs et al.   COMPUTERS & CHEMICAL ENGINEERING