Computational Catalysis: Methods and Applications
A special issue of Inorganics (ISSN 2304-6740). This special issue belongs to the section "Organometallic Chemistry".
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 7401
Special Issue Editors
Interests: catalysis and mechanism; computational chemistry; inorganic and organometallic chemistry
Special Issues, Collections and Topics in MDPI journals
Interests: theoretical and computational catalysis; homogeneous catalysis; inorganic and bioinorganic; kinetics and mechanisms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Tremendous efforts have been spent in the interpretations of catalytic systems, and especially in the developments of novel catalysts from inorganic and organometallic complexes. A certain significant and fundamental understanding in catalysis has been established from experimental studies; however, developing a novel catalyst is always a challenging task. In recent decades, computational chemistry has been demonstrated as a powerful and convenient tool in the investigation and evaluation of catalysts. Structural‐functional analysis from computations is usually a non-negligible component in the modeling of homogeneous and heterogeneous catalysis, and the advances in machine learning and the related data-driven strategies have revolutionized the practices of catalyst design. The establishment of rules in catalyst design has been sped up with the utilization of statistics, computer science and artificial intelligence.
This Special Issue titled “Computational Catalysis: Methods and Applications” aims to capture high-quality research papers and review articles that report the advances, developments and challenges in computational catalysis and catalyst design. Studies on both homogeneous and heterogeneous catalysis with inorganic and organometallic complexes are welcome, and computational predictions of the selectivity and efficiencies of catalysts are also encouraged.
Dr. Guangchao Liang
Prof. Dr. Charles Edwin Webster
Guest Editors
Manuscript Submission Information
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Keywords
- computational catalysis
- catalyst design
- organometallic chemistry
- mechanism
- structural‐functional analysis
- machine learning
- data-driven strategy
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