Hochschulschrift
Carbide materials as catalysts and catalyst supports for applications in water electrolysis and in heterogeneous catalysis
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783843916950
3843916950
- Maße
-
21 cm, 309 g
- Umfang
-
120 S.
- Ausgabe
-
1. Aufl.
- Sprache
-
Englisch
- Anmerkungen
-
Ill., graph. Darst.
Zugl.: München, Techn. Univ., Diss., 2014
- Schlagwort
-
Carbide
Heterogene Katalyse
Wasser
Elektrolyse
Wasserstofferzeugung
Kohlenstoff
Kohlenstoffverbindungen
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.06.2025, 02:01 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Meyer, Simon
- Verl. Dr. Hut
Entstanden
- 2014
Ähnliche Objekte (12)
Functionally graded anode catalyst layers for PEM water electrolysis
Competitive hydroconversion of decalin and n-decane on noble-metal catalysts and the evaluation of molybdenum carbide as ring-opening catalyst
Asymmetric Brønsted Acid Catalysis: Acetals & Confined Catalysts
Cooperative catalysis : designing efficient catalysts for synthesis
Ionic liquids in oxidation catalysis: from solvent to catalyst
Noble metal-free catalysts for microbial bioelectrochemical systems and water electrolysis
Functionalization of Carbide Derived Carbon for Energy Storage and Solid Acid Catalysis
Heterogeneous catalysis : solid catalysts, kinetics, transport effects, catalytic reactors
Solar driven water electrolysis based on silicon solar cells and earth-abundant catalysts
Solar driven water electrolysis based on silicon solar cells and earth-abundant catalysts
Iridium Oxide as Catalyst in Water Electrolysis: Identification of Novel Surface Structures via Machine Learning
Catalyst Substrate Interaction of Organo Phosphate Brønsted Acid Catalysts with Imines
Functionally graded anode catalyst layers for PEM water electrolysis
Competitive hydroconversion of decalin and n-decane on noble-metal catalysts and the evaluation of molybdenum carbide as ring-opening catalyst
Asymmetric Brønsted Acid Catalysis: Acetals & Confined Catalysts
Cooperative catalysis : designing efficient catalysts for synthesis
Ionic liquids in oxidation catalysis: from solvent to catalyst
Noble metal-free catalysts for microbial bioelectrochemical systems and water electrolysis
Functionalization of Carbide Derived Carbon for Energy Storage and Solid Acid Catalysis
Heterogeneous catalysis : solid catalysts, kinetics, transport effects, catalytic reactors
Solar driven water electrolysis based on silicon solar cells and earth-abundant catalysts
Solar driven water electrolysis based on silicon solar cells and earth-abundant catalysts
Iridium Oxide as Catalyst in Water Electrolysis: Identification of Novel Surface Structures via Machine Learning
Catalyst Substrate Interaction of Organo Phosphate Brønsted Acid Catalysts with Imines
Functionally graded anode catalyst layers for PEM water electrolysis
Competitive hydroconversion of decalin and n-decane on noble-metal catalysts and the evaluation of molybdenum carbide as ring-opening catalyst
Asymmetric Brønsted Acid Catalysis: Acetals & Confined Catalysts
Cooperative catalysis : designing efficient catalysts for synthesis
Ionic liquids in oxidation catalysis: from solvent to catalyst
Noble metal-free catalysts for microbial bioelectrochemical systems and water electrolysis
Functionalization of Carbide Derived Carbon for Energy Storage and Solid Acid Catalysis
Heterogeneous catalysis : solid catalysts, kinetics, transport effects, catalytic reactors
Solar driven water electrolysis based on silicon solar cells and earth-abundant catalysts
Solar driven water electrolysis based on silicon solar cells and earth-abundant catalysts
Iridium Oxide as Catalyst in Water Electrolysis: Identification of Novel Surface Structures via Machine Learning