Rationalizing the d-Band Model from Theory to Practice in Catalyst Design

Area of Science:

• Materials Science
• Catalysis
• Physical Chemistry

Background:

• Descriptor-based catalyst design is crucial for industrial processes.
• The metal d-band model is a key concept for understanding adsorbate-metal interactions.
• Practical application of d-band theory is complex due to real catalytic systems.

Purpose of the Study:

• To provide new insights into metal d-band structure modulation and interpretation.
• To highlight emerging tools and real-world catalysts for practical catalyst design.
• To contextualize conflicting interpretations within a flexible-band framework.

Main Methods:

• Revisiting the classical d-band model and elucidating strain and ligand effects.
• Utilizing machine learning in a bottom-up strategy for catalyst tuning.
• Discussing experimental techniques for d-band center and filling characterization.

Main Results:

• Strain and ligand effects modulate the d-band center, tuning catalytic performance.
• Emerging experimental techniques allow independent characterization of d-band properties.
• A flexible-band framework accounts for variable d-band filling, addressing conflicting interpretations.

Conclusions:

• Advanced understanding of d-band modulation is key for rational catalyst design.
• A multidescriptor approach is needed for effective catalyst guidance under realistic conditions.
• Clarifying recent advances and challenges will drive future descriptor-based catalyst design.