PREDIBOND™ in Heterogeneous Catalysis: Predicting Activity Patterns
The performance of catalytic materials depends on complex phenomena linked to chemical
composition, preparation, activation procedures, and surface conditions under operational
conditions. This complexity requires a comprehensive arsenal of R&D approaches including
theoretical and computational methods. While many fundamental research efforts are
currently directed at a detailed understanding of surface reaction mechanisms, PREDIBOND™
focuses on bond strength and local chemical environment as central descriptors of chemical
reactivity.
By combining in a unique and proprietary way experimental reactivity data on
model systems with experimental structural data and computed information, PREDIBOND
allows the classification of catalytic materials and thus the prediction of promising areas in
the catalyst design space. This application note focuses on the application of PREDIBOND to a
specific example in heterogeneous catalysis, namely hydrodesulphurizationactive metal sulfide surfaces.
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- A DFT Study of CoMoS and NiMoS Catalysts: from Nano-Crystallite Morphology to Selective Hydrodesulfurization
- Catalytic isomerization of 2-pentene in H-ZSM-22—A DFT investigation
- Acidity of Amorphous Silica-Alumina: From Coordination Promotion of Lewis Sites to Proton Transfer
- Ab initio thermodynamics of oxide surfaces: O₂ on Fe₂O₃ (0001)
- Framework dynamics including computer simulations of the water adsorption isotherm of zeolite Na-MAP
- Reconciliation of ab initio theory and experimental elastic properties of Al₂O₃
- Molecular Modeling High-Throughput Experimentation (HTE): Meeting the Challenges of Catalysts, Chemicals and Materials Design
- Derivation of an Optimized Potential Model for Phase Equilibria (OPPE) for Sulfides and Thiols
- Prediction of Equilibrium Properties of Cyclic Alkanes by Monte Carlo Simulation - New Anisotropic United Atoms Intermolecular Potential - New Transfer Bias Method
- The structure of amorphous sulfur
