Research Articles
Strategies for Overcoming Polymorphic Impurities in Pharmaceutical Crystallization: From Fundamental Principles to Regulatory Compliance
This comprehensive review addresses the critical challenge of polymorphic impurities in pharmaceutical crystallization, a key concern for researchers and drug development professionals working with poorly water-soluble drugs.
Advanced Techniques for Measuring Nucleation Rate: Experimental Validation and Applications in Pharmaceutical Development
This article provides a comprehensive overview of modern experimental techniques for measuring nucleation rates, a critical parameter in crystallization processes for pharmaceutical development.
Nucleation Control in Sol-Gel and Vapor Deposition: Mechanisms, Applications, and Optimization for Advanced Materials
This article provides a comprehensive analysis of nucleation control in sol-gel processes and vapor deposition techniques, two foundational methods in advanced materials synthesis.
Beyond Prediction: Strategies to Improve the Success Rate of Computational Material Discovery
Computational models now rapidly generate millions of candidate materials, yet the transition from digital prediction to synthesized reality remains a major bottleneck.
Kinetic Stabilization in Inorganic Synthesis: Principles, Strategies, and Biomedical Applications
This article provides a comprehensive exploration of kinetic stabilization, a fundamental concept governing the formation and longevity of metastable inorganic and biomolecular structures.
Validating Predicted Topological Semimetals: From Computational Discovery to Experimental Confirmation
This article provides a comprehensive framework for the validation of predicted topological semimetals, addressing the critical gap between computational prediction and experimental confirmation.
Data Cleaning for Materials Informatics: Advanced Techniques to Overcome Sparse, Noisy Data and Accelerate Discovery
This article provides a comprehensive guide to data cleaning techniques specifically tailored for the unique challenges in materials informatics.
Overcoming Anthropogenic Bias in Materials Datasets: Strategies for Equitable AI-Driven Discovery
This article addresses the critical challenge of anthropogenic bias in materials science datasets, which can skew AI predictions and hinder the discovery of novel materials.
Hierarchical Nonnegative Matrix Factorization: Unraveling Complex Material Structures for Advanced Research
This article provides a comprehensive exploration of Hierarchical Nonnegative Matrix Factorization (HNMF), a powerful unsupervised machine learning technique for discerning multi-level structures within complex scientific data.
Ensuring Data Veracity in Text-Mined Synthesis Recipes: A Guide for Biomedical Researchers
This article addresses the critical challenge of data veracity in text-mined materials synthesis recipes, a growing concern for researchers and drug development professionals leveraging AI for accelerated discovery.