Research Articles
Homogeneous vs Heterogeneous Catalysis: A Comparative Analysis for Advanced Pharmaceutical Applications
This article provides a comprehensive comparative analysis of homogeneous and heterogeneous catalytic systems, tailored for researchers and professionals in drug development.
Evaluating Catalyst Performance After Regeneration: A Guide to Testing, Troubleshooting, and Validation for Researchers
This article provides a comprehensive framework for researchers and scientists, particularly in drug development, to evaluate catalyst performance after multiple regeneration cycles.
Validating Machine Learning Catalyst Predictions: Bridging AI Models and Experimental Data for Drug Discovery
This article explores the critical process of validating machine learning (ML) predictions in catalyst design with experimental data, a key advancement for accelerating drug discovery and development.
H-ZSM-5 vs. H-Beta: A Comprehensive Comparison of Catalytic Performance for Researchers
This article provides a systematic comparison of H-ZSM-5 and H-Beta zeolite catalysts, addressing the critical factors that influence their performance in chemical processes relevant to pharmaceutical and industrial applications.
AI-Driven Strategies for Optimizing Catalyst Synthesis Parameters and Precursors
This article explores the paradigm shift in catalyst development, moving from traditional trial-and-error methods to data-driven, AI-accelerated approaches.
Strategies for Preventing Catalyst Poisoning: Mechanisms, Mitigation, and Advanced Solutions for Biomedical and Industrial Applications
This article provides a comprehensive analysis of catalyst poisoning mechanisms and prevention strategies, tailored for researchers and professionals in drug development and biomedical fields.
Reducing Computational Cost in Catalyst Descriptor Analysis: AI, ML, and Quantum Strategies
The high computational expense of traditional quantum mechanical methods, primarily Density Functional Theory (DFT), presents a significant bottleneck in the discovery and optimization of catalysts.
Strategies for Enhancing Long-Term Catalyst Stability and Performance in Pharmaceutical Development
This article provides a comprehensive guide for researchers and drug development professionals on ensuring catalyst and drug product stability throughout the development lifecycle.
Machine Learning for Catalyst Optimization: A Data-Driven Approach to Balancing Performance and Economic Viability
This article explores the transformative role of machine learning (ML) in streamlining the discovery and optimization of catalysts, with a specific focus on integrating techno-economic criteria for sustainable and cost-effective...
Optimizing Catalyst Pore Structure and Surface Area: Strategies for Enhanced Performance and Stability
This article provides a comprehensive analysis of strategies for optimizing catalyst pore structure and specific surface area, critical determinants of activity, selectivity, and longevity.