Research Articles
AI and Robotics in Catalyst Discovery: From Self-Driving Labs to Clinical Breakthroughs
This article explores the transformative integration of artificial intelligence (AI), robotics, and advanced data science into catalyst discovery, a field critical for pharmaceutical development and sustainable energy.
Operando Characterization Techniques: Unlocking Dynamic Catalyst Behavior for Advanced Applications
This article provides a comprehensive overview of the latest advances and best practices in operando characterization techniques for catalyst analysis.
High-Throughput Screening for Catalyst Discovery: Integrating Computational and Experimental Methods
This article provides a comprehensive overview of high-throughput screening (HTS) methodologies accelerating catalyst discovery.
Machine Learning for Catalytic Activity Prediction: A Comprehensive Guide for Accelerated Discovery
This article provides a comprehensive overview of the transformative role of machine learning (ML) in predicting catalytic activity, a critical task for researchers in drug development and materials science.
Decoding Catalyst Design: How Structure Dictates Function in Drug Discovery and Beyond
This article explores the fundamental and applied principles of the structure-function relationship in catalysis, a cornerstone of modern chemical and pharmaceutical research.
From Precursor to Performance: Mastering Catalyst Transformation for Advanced Drug Development
This article provides a comprehensive examination of catalyst precursor transformation into the active phase, a critical process in developing efficient and sustainable catalysts for pharmaceutical applications.
Rational Catalyst Design and Synthesis: Principles, Strategies, and Applications in Sustainable Chemistry
This article provides a comprehensive overview of the modern principles of rational catalyst design, a paradigm shift from traditional trial-and-error approaches.
From Structure to Function: How Descriptors Predict Catalytic Activity and Selectivity
This article provides a comprehensive exploration of how molecular and material descriptors serve as powerful predictors for catalytic activity and selectivity, crucial for advancements in drug development and chemical synthesis.
Scaling Relationships in Catalysis: From Fundamental Limitations to Advanced Optimization Strategies
Scaling relationships, the linear correlations between adsorption energies of reaction intermediates, represent a fundamental paradigm and a central limitation in catalytic science.
Fundamental Mechanisms of Catalyst Action and Adsorption: From Molecular Principles to Biomedical Applications
This article provides a comprehensive examination of the fundamental mechanisms governing catalyst action and adsorption processes, tailored for researchers and drug development professionals.