Zohreh Khoshraftar – författare

Artificial Neural Networks in Chemical Engineering Processes: From Theory to Applications serves as a comprehensive resource on artificial neural networks within chemical engineering, including understanding the fundamental principles, learning about relevant algorithms and architectures, and exploring practical case studies. This book covers theoretical principles, relevant algorithms, and practical case studies, this book covers artificial neural network concepts, architectures, and algorithms, with a focus on applications in chemical engineering processes. This book also addressed common challenges by providing practical guidance through successful case studies, offering insights on data pre-processing, model selection, training strategies, and performance evaluation. The book serves as a valuable tool for bridging the gap between neural networks and their practical implementation in chemical engineering.This book will be an invaluable resource for chemical Engineers, particularly researchers and industry professionals working in Machine Learning and Artificial Intelligence. It will also be a very useful guide for Graduate and Postgraduate Students in Chemical Engineering and machine learning. Artificial Neural Networks in Chemical Engineering will also be a valuable resource for anyone working with artificial neural networks in other industries, particularly data scientists and analysts.Serves as a comprehensive resource to bridge the gap between theoretical knowledge of neural networks and practical implementation in chemical engineeringProvides in-depth explanations of neural network concepts, architectures, and algorithms, along with specifics about applications in chemical engineeringOutlines various types of artificial neural networks, including feed-forward networks and their applications in chemical engineering processes and systemsIncludes practical guidance and case studies that showcase the successful application of neural networks in solving chemical engineering problemsPresents insights into essential aspects such as data pre-processing techniques, model selection, training strategies, and performance evaluationProvides a roadmap for the effective implementation of neural networks in experimental modeling, including code and MATLAB modeling

Artificial Neural Networks in Chemical Engineering Processes: From Theory to Applications serves as a comprehensive resource on artificial neural networks within chemical engineering, including understanding the fundamental principles, learning about relevant algorithms and architectures, and exploring practical case studies. This book covers theoretical principles, relevant algorithms, and practical case studies, this book covers artificial neural network concepts, architectures, and algorithms, with a focus on applications in chemical engineering processes. This book also addressed common challenges by providing practical guidance through successful case studies, offering insights on data pre-processing, model selection, training strategies, and performance evaluation. The book serves as a valuable tool for bridging the gap between neural networks and their practical implementation in chemical engineering.This book will be an invaluable resource for chemical Engineers, particularly researchers and industry professionals working in Machine Learning and Artificial Intelligence. It will also be a very useful guide for Graduate and Postgraduate Students in Chemical Engineering and machine learning. Artificial Neural Networks in Chemical Engineering will also be a valuable resource for anyone working with artificial neural networks in other industries, particularly data scientists and analysts. - Serves as a comprehensive resource to bridge the gap between theoretical knowledge of neural networks and practical implementation in chemical engineering- Provides in-depth explanations of neural network concepts, architectures, and algorithms, along with specifics about applications in chemical engineering- Outlines various types of artificial neural networks, including feed-forward networks and their applications in chemical engineering processes and systems- Includes practical guidance and case studies that showcase the successful application of neural networks in solving chemical engineering problems- Presents insights into essential aspects such as data pre-processing techniques, model selection, training strategies, and performance evaluation- Provides a roadmap for the effective implementation of neural networks in experimental modeling, including code and MATLAB modeling

CO2 Adsorbents comprehensively explores the materials and technologies used for adsorbing carbon dioxide. It covers materials synthesis, characterization, adsorption mechanisms, applications, modeling, and potential environmental and industrial impacts to help readers find the best adsorbent for their needs. Through its coverage of advanced research and technological developments in the field, such as novel adsorbent materials, innovative synthesis methods, and advancements in scalable production techniques, the book aims to contribute to the understanding of CO2 adsorption processes, materials, and their practical applications in addressing the global challenge of climate change and CO2 emissions reduction.Presents an overview of different adsorbent materials used for CO2 capture and the methods of synthesis, modification, and functionalization to enhance their CO2 adsorption performanceDescribes characterization techniques used to assess the structural, morphological, and surface properties of CO2 adsorbentsExplores the fundamental mechanisms behind CO2 adsorption of various materials, the interactions between CO2 molecules and the adsorbent surface, and the kinetics and thermodynamics of CO2 adsorption processesDiscusses through real-world case studies the applications of CO2 adsorbents in various industries, such as natural gas purification, carbon capture and storage, biogas upgrading, and air purification and their potential in mitigating greenhouse gas emissions and addressing environmental concernsAnalyzes the environmental impact and feasibility of using CO2 adsorbents in real-world scenarios and the challenges and benefits of integrating adsorption technologies into existing industrial processesProvides insights into potential improvements, challenges, and directions for further research and developmentThrough its practical relevance, advanced insights, and focus on sustainability and innovation, this text serves as a valuable resource for researchers, engineers, and professionals working in the field of carbon capture and utilization, including those in chemical, environmental, and related engineering disciplines.

CO2 Adsorbents comprehensively explores the materials and technologies used for adsorbing carbon dioxide. It covers materials synthesis, characterization, adsorption mechanisms, applications, modeling, and potential environmental and industrial impacts to help readers find the best adsorbent for their needs. Through its coverage of advanced research and technological developments in the field, such as novel adsorbent materials, innovative synthesis methods, and advancements in scalable production techniques, the book aims to contribute to the understanding of CO2 adsorption processes, materials, and their practical applications in addressing the global challenge of climate change and CO2 emissions reduction.

Presents an overview of different adsorbent materials used for CO2 capture and the methods of synthesis, modification, and functionalization to enhance their CO2 adsorption performance

Describes characterization techniques used to assess the structural, morphological, and surface properties of CO2 adsorbents

Explores the fundamental mechanisms behind CO2 adsorption of various materials, the interactions between CO2 molecules and the adsorbent surface, and the kinetics and thermodynamics of CO2 adsorption processes

Discusses through real-world case studies the applications of CO2 adsorbents in various industries, such as natural gas purification, carbon capture and storage, biogas upgrading, and air purification and their potential in mitigating greenhouse gas emissions and addressing environmental concerns

Analyzes the environmental impact and feasibility of using CO2 adsorbents in real-world scenarios and the challenges and benefits of integrating adsorption technologies into existing industrial processes

Provides insights into potential improvements, challenges, and directions for further research and development

Through its practical relevance, advanced insights, and focus on sustainability and innovation, this text serves as a valuable resource for researchers, engineers, and professionals working in the field of carbon capture and utilization, including those in chemical, environmental, and related engineering disciplines.