Research Articles
Predicting Catalytic Activity with AI: A Practical Guide to ANN and XGBoost for Researchers
This article provides a comprehensive guide for researchers and drug development professionals on applying Artificial Neural Networks (ANN) and XGBoost for predicting catalytic activity.
Predicting Catalytic Oxidation in Drug Metabolism: A Comparative Guide to ANN, SVM, and MLR QSAR Models for Researchers
This comprehensive article explores the application of Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Multiple Linear Regression (MLR) in building Quantitative Structure-Activity Relationship (QSAR) models to predict the...
Accelerating Drug Discovery: How AI Optimizes Imine-Linked COF Synthesis for Biomedical Applications
This article provides a comprehensive guide for researchers on leveraging artificial intelligence (AI) to revolutionize the synthesis of imine-linked covalent organic frameworks (COFs).
AI-Driven Discovery of Biomass-Based CO2 Sorbents: From Molecular Design to Biomedical and Pharmaceutical Applications
This article explores the transformative role of artificial intelligence in accelerating the discovery and optimization of sustainable, biomass-derived carbon dioxide sorbents.
Accelerating Drug Development: How AI-Driven Catalyst Discovery is Transforming Pharmaceutical Research
This article provides a comprehensive overview of AI-driven catalyst discovery, a revolutionary approach accelerating drug development and chemical synthesis.
Beyond Serendipity: How AI Frameworks Are Revolutionizing Catalyst Discovery
This article explores the transformative role of AI-driven frameworks in accelerating and systematizing catalyst discovery for biomedical and pharmaceutical applications.
From Structure to Function: How 3D Reconstruction of Catalyst Pore Networks is Revolutionizing Drug Development
This article provides a comprehensive guide for biomedical researchers on the application of 3D pore network reconstruction in catalyst design for drug synthesis.
Optimizing 3D Printed Catalytic Reactors: A Comprehensive Guide for Pharmaceutical Research and Process Intensification
This article provides a detailed roadmap for researchers and pharmaceutical development professionals seeking to leverage 3D printing for catalytic reactor optimization.
Revolutionizing Catalyst Design: How Reaction-Conditioned Generative Models Are Accelerating Drug Discovery
This article explores the transformative impact of reaction-conditioned generative models on catalyst design, a critical field for pharmaceutical development.
Sol-Gel Catalyst Synthesis: A Guide to Advanced Materials for Biomedical and Environmental Applications
This article provides a comprehensive exploration of the sol-gel process for synthesizing advanced catalytic materials, tailored for researchers and drug development professionals.