Research Articles
Beyond Generation: Essential Evaluation Metrics for Valid and Diverse AI-Designed Catalysts
This article provides a comprehensive framework for evaluating generative AI models in catalyst design, targeting researchers and drug development professionals.
Beyond the Hype: A Comprehensive Framework for Evaluating Generative AI Models in Catalyst Discovery
This article provides a critical evaluation of generative AI model performance across diverse catalyst datasets essential for drug development.
EXAFS Spectroscopy: A Powerful Tool for Tracking Catalyst Phase Transitions in Biomedical Research
This article provides a comprehensive guide to using Extended X-ray Absorption Fine Structure (EXAFS) spectroscopy for characterizing catalyst phase transitions, a critical process in pharmaceutical development and biomedical research.
Forward Screening vs. Inverse Design in Catalysis: A Strategic Guide for Accelerating Discovery
This article provides a comprehensive comparison of forward screening (high-throughput experimentation/virtual screening) and inverse design (generative models, active learning) for catalyst discovery and optimization.
Mastering Catalytic Reactor Design: The Damköhler Number Explained for Pharmaceutical Researchers
This article provides a comprehensive guide to the Damköhler number (Da) as a critical dimensionless parameter in catalytic reactor design, specifically tailored for researchers and drug development professionals in the...
DFT-Based Molecular Dynamics in Catalysis: A Computational Guide for Biomedical Researchers
This article provides a comprehensive guide to Density Functional Theory (DFT)-based Molecular Dynamics (MD) for catalysis research, tailored for scientists in biomedical and pharmaceutical development.
Bridging Theory and Experiment: A Comprehensive Guide to DFT Validation in Pharmaceutical Catalyst Development
This article provides a systematic framework for researchers and drug development professionals to validate Density Functional Theory (DFT) predictions against experimental catalyst performance.
Bridging Theory and Experiment: How DFT Predictions and XRD Data Converge in Catalyst Design for Biomedical Applications
This article explores the critical synergy between Density Functional Theory (DFT) computational predictions and experimental X-ray Diffraction (XRD) characterization in elucidating catalyst structures, with a focus on relevance to biomedical...
DFT Volcano Plots: A Complete Guide to Predicting and Optimizing Catalytic Activity in Biomedical Research
This article provides researchers, scientists, and drug development professionals with a comprehensive guide to Density Functional Theory (DFT) volcano plots for catalytic activity prediction.
Van der Waals Forces in Catalysis: A DFT Guide for Catalyst Surface Design and Drug Discovery
This article provides a comprehensive overview of Density Functional Theory (DFT) methods for accurately modeling van der Waals (vdW) interactions on catalyst surfaces, a critical factor in adsorption and reaction...