Semiconductor device modelling has developed in recent years from being solely the domain of device physicists to span broader technological disciplines involved in device and electronic circuit design and develop- ment.
This contributed volume focuses on the application of machine learning and cheminformatics in predictive modeling for organic materials, polymers, solvents, and energetic materials.
This book provides a comprehensive and innovative exploration of low-temperature AC heating techniques for lithium-ion batteries, addressing a critical challenge in electric vehicle (EV) performance.
This book shows how to derive the simple and accurate semiclassical methods analytically and its applications to excited-state molecular dynamics and spectroscopy simulation with and without classical trajectories.
This contributed volume focuses on the application of machine learning and cheminformatics in predictive modeling for organic materials, polymers, solvents, and energetic materials.
This contributed volume explores the application of machine learning in predictive modeling within the fields of materials science, nanotechnology, and cheminformatics.
This book provides a model description for the electromagnetic response of topological nodal semimetals and summarizes recent experimental findings in these systems.
This thesis proposes useful tools, on-the-fly trajectory mapping method and Reaction Space Projector (ReSPer), to analyze chemical reaction mechanisms by combining the reaction route map and the ab initio molecular dynamics.
This book covers the remarkable progress in the field of electrospun nanofibrous materials synthesis that has been made in recent years for clean water production.
This book contains peer-reviewed contributions based on talks presented at the 25th International Workshop on Quantum Systems in Chemistry, Physics, and Biology held in Torun, Poland, in June 2022.
This book covers the remarkable progress in the field of electrospun nanofibrous materials synthesis that has been made in recent years for clean water production.
Iron Phosphate Materials as Cathodes for Lithium Batteries describes the synthesis and the chemical-physical characteristics of iron phosphates, and presents methods of making LiFePO4 a suitable cathode material for lithium-ion batteries.
This concise book covers fundamental principles of colloidal self-assembly and overviews of basic and applied research in this field, with abundant illustrations and photographs.
This 2nd edition of the book focuses on the properties of stationary states in chaotic systems of particles or fluids, setting aside the theory of how these states are achieved.
This book elucidates fascinating electronic phenomena of unusual Bi2-square net in layered R2O2Bi (R: rare earth) compounds using two approaches: the fabrication of epitaxial thin films and the synthesis of bulk polycrystalline powders.
This contributed volume explores the application of machine learning in predictive modeling within the fields of materials science, nanotechnology, and cheminformatics.
This thesis proposes useful tools, on-the-fly trajectory mapping method and Reaction Space Projector (ReSPer), to analyze chemical reaction mechanisms by combining the reaction route map and the ab initio molecular dynamics.
This textbook, supported by the Textbook Publishing Center of University of Chinese Academy of Sciences, provides a fundamental introduction to advanced diagnostics techniques for graduate students majoring in combustion science, chemistry, and chemical engineering-related subjects.
This book provides a comprehensive overview of Nuclear Magnetic Resonance (NMR) theory, its applications, and advanced techniques to improve the quality and speed of NMR data acquisition.
This book explores the critical role of interfaces in lithium-ion batteries, focusing on the challenges and solutions for enhancing battery performance and safety.
This volume focuses on recent advancements in our current understanding of nucleic acid photochemistry and its relationship to biologically relevant phenomena.
This book outlines past and new developments in molecular response theory in terms of static and dynamic-induced current densities and showcases an important step forward in the field of molecular density functions and their topological analysis.
This textbook, supported by the Textbook Publishing Center of University of Chinese Academy of Sciences, provides a fundamental introduction to advanced diagnostics techniques for graduate students majoring in combustion science, chemistry, and chemical engineering-related subjects.
This thesis describes in-depth theoretical efforts to understand the reaction mechanism of graphite and lithium metal as anodes for next-generation rechargeable batteries.
This book shows how to derive the simple and accurate semiclassical methods analytically and its applications to excited-state molecular dynamics and spectroscopy simulation with and without classical trajectories.
For decades, scientists have envisioned the possibility of storing energy in the form of nuclear excitations, resulting in specific nuclear configurations known as isomers.
This book focuses on methods of how to understand the relationship between the structure and physical properties of polymers from the microscopic point of view on the basis of experimental and theoretical methodologies.
This book describes improvements to the electronics topology of current modular reconfigurable storages by integrating parallel connectivity, reducing the semiconductor count by eliminating irrelevant states, and improving the monitoring techniques through higher function integration.
This book provides a comprehensive overview of a computationally efficient approach for modelling the phase behaviour of multicomponent alloys from first principles, describing both short- and long-range atomic ordering tendencies.
