Home

Mount Bank Потиснете фамилно име b hammer and j.k norskov nature 376 1995 238 R Движеща сила Страхотен дъб

Machine learning for alloys | Nature Reviews Materials
Machine learning for alloys | Nature Reviews Materials

PDF) The nature of the active site in heterogeneous metal catalysis | Frank  Abild-pedersen - Academia.edu
PDF) The nature of the active site in heterogeneous metal catalysis | Frank Abild-pedersen - Academia.edu

Gas diffusion electrodes, reactor designs and key metrics of  low-temperature CO2 electrolysers | Nature Energy
Gas diffusion electrodes, reactor designs and key metrics of low-temperature CO2 electrolysers | Nature Energy

Gold catalysts containing interstitial carbon atoms boost hydrogenation  activity | Nature Communications
Gold catalysts containing interstitial carbon atoms boost hydrogenation activity | Nature Communications

Boosting the performance of single-atom catalysts via external electric  field polarization | Nature Communications
Boosting the performance of single-atom catalysts via external electric field polarization | Nature Communications

PDF) Progress and Challenges Toward the Rational Design of Oxygen  Electrocatalysts Based on a Descriptor Approach
PDF) Progress and Challenges Toward the Rational Design of Oxygen Electrocatalysts Based on a Descriptor Approach

arXiv:1610.01746v1 [physics.comp-ph] 6 Oct 2016
arXiv:1610.01746v1 [physics.comp-ph] 6 Oct 2016

Frontiers | Activation of Gold on Metal Carbides: Novel Catalysts for C1  Chemistry
Frontiers | Activation of Gold on Metal Carbides: Novel Catalysts for C1 Chemistry

When Gold Is Not Noble: Catalysis by Nanoparticles - Haruta - 2003 - The  Chemical Record - Wiley Online Library
When Gold Is Not Noble: Catalysis by Nanoparticles - Haruta - 2003 - The Chemical Record - Wiley Online Library

Predicting the Catalytic Activity of Surface Oxidation Reactions by  Ionization Energies
Predicting the Catalytic Activity of Surface Oxidation Reactions by Ionization Energies

Machine learned features from density of states for accurate adsorption  energy prediction | Nature Communications
Machine learned features from density of states for accurate adsorption energy prediction | Nature Communications

Rational Design of Atomic Site Catalysts for Electrocatalytic Nitrogen  Reduction Reaction: One Step Closer to Optimum Activity and Selectivity |  SpringerLink
Rational Design of Atomic Site Catalysts for Electrocatalytic Nitrogen Reduction Reaction: One Step Closer to Optimum Activity and Selectivity | SpringerLink

Observation of charge back-donation states of CO Metal bonding on Pt-Sn  alloy
Observation of charge back-donation states of CO Metal bonding on Pt-Sn alloy

Exegese braten Zoomen b hammer and j.k norskov nature 376 1995 238 Schlitz  Twist aus
Exegese braten Zoomen b hammer and j.k norskov nature 376 1995 238 Schlitz Twist aus

Methan Kultur Eichhörnchen b hammer and j.k norskov nature 376 1995 238 Du  wirst besser werden Reichlich Pro
Methan Kultur Eichhörnchen b hammer and j.k norskov nature 376 1995 238 Du wirst besser werden Reichlich Pro

Measuring the Electronic Structure of Alloy Materials and Relating it to  their Catalytic Performance
Measuring the Electronic Structure of Alloy Materials and Relating it to their Catalytic Performance

Oxygen-Inserted Top-Surface Layers of Ni for Boosting Alkaline Hydrogen  Oxidation Electrocatalysis | Journal of the American Chemical Society
Oxygen-Inserted Top-Surface Layers of Ni for Boosting Alkaline Hydrogen Oxidation Electrocatalysis | Journal of the American Chemical Society

Identifying the impact of the covalent-bonded carbon matrix to FeN4 sites  for acidic oxygen reduction | Nature Communications
Identifying the impact of the covalent-bonded carbon matrix to FeN4 sites for acidic oxygen reduction | Nature Communications

Electronic metal–support interaction modulates single-atom platinum  catalysis for hydrogen evolution reaction | Nature Communications
Electronic metal–support interaction modulates single-atom platinum catalysis for hydrogen evolution reaction | Nature Communications

Toward a mechanistic understanding of electrocatalytic nanocarbon | Nature  Communications
Toward a mechanistic understanding of electrocatalytic nanocarbon | Nature Communications

Machine Learning Accelerates the Discovery of Design Rules and Exceptions  in Stable Metal–Oxo Intermediate Formation | ACS Catalysis
Machine Learning Accelerates the Discovery of Design Rules and Exceptions in Stable Metal–Oxo Intermediate Formation | ACS Catalysis

Theoretical Insight on Highly Efficient Electrocatalytic CO2 Reduction  Reaction of Monoatom Dispersion Catalyst (Metal-Nitrogen-Carbon) |  SpringerLink
Theoretical Insight on Highly Efficient Electrocatalytic CO2 Reduction Reaction of Monoatom Dispersion Catalyst (Metal-Nitrogen-Carbon) | SpringerLink

Phase-enabled metal-organic framework homojunction for highly selective CO2  photoreduction | Nature Communications
Phase-enabled metal-organic framework homojunction for highly selective CO2 photoreduction | Nature Communications

Statistical learning goes beyond the d-band model providing the  thermochemistry of adsorbates on transition metals | Nature Communications
Statistical learning goes beyond the d-band model providing the thermochemistry of adsorbates on transition metals | Nature Communications