Metal Catalyst Discovery, Design and Synthesis, 2nd Edition
A special issue of Inorganics (ISSN 2304-6740). This special issue belongs to the section "Inorganic Materials".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 83
Special Issue Editor
Interests: nanocatalyst; atomic layer deposition; surface science; heterogenous catalysis; oxidative dehydrogenation; biomass conversion; selective hydrogenation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Catalysts serve as the cornerstones of the chemical and energy industries. With the growing demand for novel chemical transformations and energy-efficient catalytic processes, the discovery of innovative catalysts has become a reality rather than a distant aspiration. Advances in catalyst development methodologies have paved the way for rational design, enabling the translation of conceptual frameworks into real-world applications through cutting-edge synthetic techniques.
At the atomic scale, the precise design of active metal sites governs reaction mechanisms and catalytic performance, underscoring the importance of an integrated framework of discovery–design–synthesis for advanced catalyst development. Beyond conventional approaches, the creation of novel, high-performance catalysts is unlocking new reaction pathways and uncovering unexplored performance regimes that hold great potential for catalysis and reaction engineering.
This Special Issue, titled “Metal Catalyst Discovery, Design and Synthesis, 2nd Edition”, will delve into the multifaceted realm of catalyst design, highlighting state-of-the-art experimental and computational strategies for the de novo design and optimization of catalysts for enhanced activity, stability, and selectivity. We welcome contributions across a broad thematic scope, including mechanistic studies, process development, innovative synthetic strategies for catalyst design, and advances in reaction engineering.
Dr. Geun-Ho Han
Guest Editor
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Keywords
- catalyst design
- computer-aided design and modeling
- machine learning
- biomimetic catalysts
- catalysis
- machine learning
- reaction pathways
- synthesis
- atomic-level characterization
- main group metals
- transition metals
- synergy between theory and experiment
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Related Special Issue
- Metal Catalyst Discovery, Design and Synthesis in Inorganics (6 articles)
