Research Articles
CataLM: Validating a Domain-Specific LLM for Accurate Catalyst Knowledge Extraction in Drug Discovery
This article provides a comprehensive validation of CataLM, a large language model fine-tuned for extracting structured catalyst data from heterogeneous chemical literature.
Beyond Trial-and-Error: How Reinforcement Learning is Revolutionizing Multi-Objective Catalyst Design for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on applying reinforcement learning (RL) to optimize catalysts across multiple, often competing, objectives like activity, selectivity, and stability.
Mastering Guidance Scales in Diffusion Models: A Practical Guide for Optimizing Molecular Properties in Drug Discovery
This comprehensive article provides a detailed exploration of guidance scales in diffusion models, specifically tailored for researchers and professionals in drug development.
Thiele Modulus & Catalyst Effectiveness Factor Explained: Key Concepts for Drug Development Researchers
This comprehensive article explores the Thiele Modulus and Catalyst Effectiveness Factor, foundational concepts in heterogeneous catalysis crucial for pharmaceutical process development.
TEM Analysis of Co-precipitated Catalysts: A Complete Guide to Assessing Homogeneity for Biomedical Applications
This article provides a comprehensive guide to using Transmission Electron Microscopy (TEM) for analyzing the homogeneity of co-precipitated catalysts, crucial for drug development and biomedical research.
TEA (Techno-Economic Analysis) Methodology for Biomass Gasification Catalysts: A Complete Guide for Catalyst Developers
This article provides a comprehensive framework for applying Techno-Economic Analysis (TEA) specifically to biomass gasification catalyst development and selection.
Catalyst Showdown: Precious vs. Non-Precious Metals in Drug Discovery & Development
This article provides a comprehensive analysis of precious metal (e.g., Pd, Pt, Rh, Ir) and non-precious metal (e.g., Fe, Ni, Cu, Co) catalysts for researchers and drug development professionals.
Overcoming Mode Collapse in GANs: A Guide for Stable Catalyst Materials Discovery
This article provides a comprehensive guide for researchers and material scientists on solving mode collapse in Generative Adversarial Networks (GANs) for catalyst generation.
Si/Al Ratio Effects on Acidity: A Comprehensive Guide to H-ZSM-5 and H-Beta Zeolites for Advanced Catalysis and Biomedical Applications
This article provides an in-depth exploration of the critical role of Si/Al ratio in modulating the acidity, structure, and catalytic performance of H-ZSM-5 and H-Beta zeolites.
Conditional VAE Training with Reaction Component Embeddings: A Practical Guide for Drug Discovery Researchers
This comprehensive guide explores the implementation and optimization of conditional Variational Autoencoders (cVAEs) enhanced with reaction component embeddings for molecular design in drug discovery.