Produktbild: Computational Analysis of Perovskite Solar Cells
- 10%

Computational Analysis of Perovskite Solar Cells Predicting the Future Energy

10% sparen

176,99 € UVP 197,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.05.2026

Abbildungen

VII, 66 illus., 63 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Manish Kumar

Verlag

Springer Singapore

Seitenzahl

310

Maße (L/B/H)

24,1/16/2,3 cm

Gewicht

645 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9565-20-7

Beschreibung

Portrait

Manish Kumar obtained his M.Tech. degree in Ceramic Engineering from IIT(BHU), Varanasi and Ph.D. degree in Physics from Institute of Science, Department of Physics, Banaras Hindu University, Varanasi, India. At present, he is serving as Associate Professor at Department of Physics, ARSD College, University of Delhi, New Delhi, India since last more than 13 years. His research area focuses on environmental friendly multifunctional materials for energy and memory devices, materials for green energy solutions, multiferroics, magnetoelectrics, composites, perovskite materials for photovoltaic applications, supercapacitors, white light emitting mate-rials, solar simulation via different software and DFT calculation. Recently, he was listed among top 2% scientists worldwide by Stanford University, USA, Ranking-2021 & 2025 and published more than 155 research publications in international journals of high repute, two authored books, six edited books (published/in press) in Springer Nature, 38 international book chapters and one Indian Patent with h-index of 34, i10-index of 94 including more than 3600 citations as per Google-Scholar. He has delivered the talks in a number of national and international conferences. He is also a member of various research committees of different universities. In addition, he has completed two national research projects and received the best research award from his institute. He is guiding/ guided number of Ph.D., M.Tech./M.Sc. and B.Sc./B.Tech. students as supervisor and/ cosupervisor. Dr. Kumar is serving and/ served as an Editor in number of highly reputed journals such as, Scientific Reports (Nature), Materials Today Communications (Elsevier), ECS Sensors Plus (IOP, ECS), High Performance Polymers (SAGE), Materials Today: Proceedings (Elsevier) and Springer Nature Books. He has organized one national conference (RAFM-2020) as co-convener and three international conferences (RAFM-2022, RAFM-2024 and APGC-2025) as convener.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.05.2026

Abbildungen

VII, 66 illus., 63 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Manish Kumar

Verlag

Springer Singapore

Seitenzahl

310

Maße (L/B/H)

24,1/16/2,3 cm

Gewicht

645 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9565-20-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern

  • Produktbild: Computational Analysis of Perovskite Solar Cells
  • Introduction of perovskite solar cells on computational analysis.- Generation of defects in perovskite absorber.- Structural analysis and modification of perovskite absorber through the density functional theory studies (DFT).- Assessment of physical parameters of perovskite solar cells through computational studies.- Multi-physics studies of perovskite solar cells.- Theoretical study of all inorganic and organic-Inorganic mixed halide perovskite solar cells.- Computational studies of tandem solar cells.- Computational investigations on stability of perovskite solar cell.- Computational investigations on the impact of organic molecule layer in between the heterostructures of the perovskite solar cells.- Interfacial engineering in perovskite solar cells by the simulation approaches.- Bandgap tuning strategy in perovskite solar cells using the solar cell simulations.- Role of machine learning in the perovskite solar cell investigations.- Role of defect density and doping concentration in perovskite solar cell.- Summary and future outlook.