Produktbild: Computational Design of Battery Materials
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Computational Design of Battery Materials

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.07.2024

Abbildungen

XXIV, 573 p. 241 illus., 233 illus. in color.

Herausgeber

Dorian A. H. Hanaor

Verlag

Springer

Seitenzahl

573

Maße (L/B/H)

24,1/16/3,6 cm

Gewicht

1166 g

Sprache

Englisch

ISBN

978-3-031-47302-9

Beschreibung

Portrait


Dorian Amir Henry Hanaor is a British, Israeli, Australian and German scientist, engineer and educator who has accumulated over 16 years of multi-faceted expertise in the field of materials engineering across  roles in the private sector, education, R&D and consulting. Dorian’s unique approach to education and research involves leveraging effective cross-disciplinary integration to create new insights and knowledge in diverse engineering topics, with his work having been cited over 7,000 times in the academic literature. In recent years Dorian has led experimental and computational studies into the design optimization of innovative battery materials for lithium and post-lithium-ion batteries and has served as a consultant for sustainable materials sourcing projects.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.07.2024

Abbildungen

XXIV, 573 p. 241 illus., 233 illus. in color.

Herausgeber

Dorian A. H. Hanaor

Verlag

Springer

Seitenzahl

573

Maße (L/B/H)

24,1/16/3,6 cm

Gewicht

1166 g

Sprache

Englisch

ISBN

978-3-031-47302-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Design of Battery Materials
  • Battery materials: Bringing it all together for tomorrow’s energy storage needs.- Atomistic Simulations of Battery Materials and Processes.- Ab Initio Interfacial Electrochemistry Applied to Understanding, Tuning and Designing Battery Chemistry.- Electrolyte-Electrode Interfaces: A Review of Computer Simulations.- Many-particle Na-ion dynamics in NaMPO4 olivine phosphates (M=Mn, Fe).- Crystal Structure Prediction for Battery Materials.- Nanoscale Modelling of Substitutional Disorder in Battery Materials.- Machine learning methods for the design of battery manufacturing processes.- Machine learning methods for the design of battery manufacturing processes.- Applications of Ab Initio Molecular Dynamics for Modeling Batteries.- Forming a Chemically-Guided Basis for Cathode Materials with Reduced Biological Impact using Combined Density Functional Theory and Thermodynamics Modeling.- Oxygen Redox in Battery Cathodes: A Brief Overview.- Theoretical Investigation of Layered Anode Materials.- Design of Improved Cathode Materials by Intermixing Transition Metals in Sodium-Iron Sulphate and Sodium Manganate for Sodium-Ion Batteries.- Sodium Intercalation into Graphite and Graphene Complexes towards Advanced Sodium-Ion Battery Anode Materials.- Combining molecular simulations with modern experiments to design ionic liquid-based battery electrolytes.- Design of battery materials via defects and doping.- Role of Adsorption Energy in the Design of Battery Materials: A DFT Perspective.