This article provides a comprehensive exploration of Density Functional Theory (DFT) as a pivotal tool for predicting and rationalizing the catalytic activity trends of transition metals.
This article provides a comprehensive guide to Density Functional Theory (DFT) principles for catalyst design, tailored for researchers and drug development professionals.
This comprehensive guide explores the application of Density Functional Theory (DFT) in designing and optimizing oxygen reduction reaction (ORR) catalysts, with a focus on relevance to biomedical research and fuel...
This article provides a comprehensive analysis for researchers and drug development professionals on two dominant paradigms in AI-driven catalyst generation: unconditional (de novo) design and reaction-conditioned (goal-directed) generation.
This article provides a comprehensive comparison of Variational Autoencoders (VAEs) and Diffusion Models for generative catalyst design, targeting researchers and drug development professionals.
This article provides a comprehensive comparative analysis of homogeneous and heterogeneous catalyst generative models in computational chemistry and drug discovery.
This article provides a comprehensive examination of Carbon Monoxide (CO) poisoning mechanisms in Proton Exchange Membrane (PEM) fuel cell catalysts.
This article explores the transformative integration of generative AI and surrogate models for building accelerated catalyst design pipelines.
This article provides a thorough exploration of Brønsted-Evans-Polanyi (BEP) relations within the framework of Density Functional Theory (DFT) for surface chemistry.
This article provides a comprehensive analysis of the Brønsted to Lewis (B/L) acid site ratio in H-ZSM-5 zeolites and its decisive influence on catalytic behavior.