Alka Misra - Böcker
Visar alla böcker från författaren Alka Misra. Handla med fri frakt och snabb leverans.
1 produkt
1 produkt
1 934 kr
Kommande
Density Functional Theory Approach for Advances in Energy Storage Materials presents cutting-edge insights into the application of Density Functional Theory (DFT) in energy storage research. The book covers a wide range of topics, from the fundamentals of energy storage materials to computational methods and specific studies on battery materials, supercapacitors, solid-state electrolytes, thermochemical energy storage, thermoelectric materials, hydrogen storage, perovskites for solar energy harvesting, and more. It also explores multi-scale modeling approaches, novel energy storage concepts, challenges, future directions, and real-world case studies.This book not only provides an overview of DFT principles and their applications in energy storage but also covers specific areas such as electrode materials for lithium-ion batteries, supercapacitors, and solid-state electrolytes. By addressing key challenges, offering future research opportunities, and showcasing practical applications in renewable energy, transportation, and consumer electronics, this book aims to bridge the gap between theory and practice in the field of energy storage materials.Explains the principles and methodologies of Density Functional Theory (DFT) and its crucial applications in energy storage materials researchExplores the fundamentals of various energy storage devices, including batteries, supercapacitors, and thermochemical systems, providing a comprehensive understanding of their mechanisms and requirementsEvaluates the latest advancements in computational modeling techniques, highlighting how DFT accelerates the design and optimization of high-performance energy storage materialsAnalyzes case studies that showcase real-world applications of DFT-guided discoveries, illustrating the significant impact on renewable energy integration and sustainable technology developmentDiscusses current challenges and future directions in DFT modeling, offering insights into emerging energy storage concepts that can drive innovation in the field