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Literature DB >> 18484577

Scaling relationships for adsorption energies on transition metal oxide, sulfide, and nitride surfaces.

Eva M Fernández¹, Poul G Moses, Anja Toftelund, Heine A Hansen, José I Martínez, Frank Abild-Pedersen, Jesper Kleis, Berit Hinnemann, Jan Rossmeisl, Thomas Bligaard, Jens K Nørskov.

Abstract

Entities: Chemical

Year: 2008 PMID： 18484577 DOI： 10.1002/anie.200705739

Source DB: PubMed Journal: Angew Chem Int Ed Engl ISSN： 1433-7851 Impact factor: 15.336

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11 in total

1. Introducing structural sensitivity into adsorption-energy scaling relations by means of coordination numbers.

Authors: Federico Calle-Vallejo; David Loffreda; Marc T M Koper; Philippe Sautet
Journal: Nat Chem Date: 2015-04-06 Impact factor: 24.427

2. Design principles for oxygen-reduction activity on perovskite oxide catalysts for fuel cells and metal-air batteries.

Authors: Jin Suntivich; Hubert A Gasteiger; Naoaki Yabuuchi; Haruyuki Nakanishi; John B Goodenough; Yang Shao-Horn
Journal: Nat Chem Date: 2011-06-12 Impact factor: 24.427

Review 3. Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments.

Authors: Marian Chatenet; Bruno G Pollet; Dario R Dekel; Fabio Dionigi; Jonathan Deseure; Pierre Millet; Richard D Braatz; Martin Z Bazant; Michael Eikerling; Iain Staffell; Paul Balcombe; Yang Shao-Horn; Helmut Schäfer
Journal: Chem Soc Rev Date: 2022-06-06 Impact factor: 60.615

Review 10. Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors.

Authors: Ze Yang; Wang Gao
Journal: Adv Sci (Weinh) Date: 2022-03-01 Impact factor: 17.521

Scaling relationships for adsorption energies on transition metal oxide, sulfide, and nitride surfaces.

1. Introducing structural sensitivity into adsorption-energy scaling relations by means of coordination numbers.

2. Design principles for oxygen-reduction activity on perovskite oxide catalysts for fuel cells and metal-air batteries.

Review 3. Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments.

Review 4. Ab Initio Machine Learning in Chemical Compound Space.

5. Scaling relationships and theory for vibrational frequencies of adsorbates on transition metal surfaces.

Review 6. Progress and Challenges Toward the Rational Design of Oxygen Electrocatalysts Based on a Descriptor Approach.

7. Isolated copper-tin atomic interfaces tuning electrocatalytic CO₂ conversion.

8. Oxygen Reduction Reaction on N-Doped Graphene: Effect of Positions and Scaling Relations of Adsorption Energies.

9. Catalytic resonance of ammonia synthesis by simulated dynamic ruthenium crystal strain.

Review 10. Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors.

Scaling relationships for adsorption energies on transition metal oxide, sulfide, and nitride surfaces.

1. Introducing structural sensitivity into adsorption-energy scaling relations by means of coordination numbers.

2. Design principles for oxygen-reduction activity on perovskite oxide catalysts for fuel cells and metal-air batteries.

Review 3. Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments.

Review 4. Ab Initio Machine Learning in Chemical Compound Space.

5. Scaling relationships and theory for vibrational frequencies of adsorbates on transition metal surfaces.

Review 6. Progress and Challenges Toward the Rational Design of Oxygen Electrocatalysts Based on a Descriptor Approach.

7. Isolated copper-tin atomic interfaces tuning electrocatalytic CO2 conversion.

8. Oxygen Reduction Reaction on N-Doped Graphene: Effect of Positions and Scaling Relations of Adsorption Energies.

9. Catalytic resonance of ammonia synthesis by simulated dynamic ruthenium crystal strain.

Review 10. Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors.

7. Isolated copper-tin atomic interfaces tuning electrocatalytic CO₂ conversion.