Research Articles
Machine Learning for Inorganic Material Synthesis: Predicting Precursors and Accelerating Discovery
This article explores the transformative role of machine learning (ML) in predicting synthesis precursors for inorganic materials, a critical bottleneck in materials development.
Atom2Vec for Synthesizability Prediction: A Deep Learning Framework Accelerating Materials and Drug Discovery
This article explores the transformative role of Atom2Vec and related deep learning representations in predicting the synthesizability of chemical compounds and materials.
Predicting Material Synthesizability with Positive-Unlabeled Learning: A New Paradigm for Accelerating Discovery
This article explores the transformative role of Positive-Unlabeled (PU) learning in predicting material synthesizability, a critical bottleneck in materials discovery and development.
Machine Learning for Synthesizable Materials Discovery: Bridging the Gap Between Prediction and Experimental Realization
This article provides a comprehensive overview of how machine learning (ML) is revolutionizing the prediction of synthesizable materials, a critical challenge in accelerating the discovery of new functional compounds for...
Defining Synthesizability in Computational Materials Science: From Foundational Concepts to AI-Driven Prediction
This article provides a comprehensive framework for defining and predicting material synthesizability, a critical bottleneck in computational materials discovery.
X-Ray Diffraction in Pharmaceutical Development: A Comprehensive Guide to Phase Structure and Nucleation Analysis
This article provides a comprehensive overview of X-ray diffraction (XRD) techniques for analyzing phase structure and nucleation in pharmaceutical development.
Solution-Based vs. Vapor-Phase Crystal Growth: A Comparative Analysis for Advanced Materials and Biomedical Applications
This article provides a comprehensive comparative analysis of solution-based and vapor-phase single crystal growth techniques, critical for developing high-purity materials for pharmaceuticals, optoelectronics, and research.
Crystal Size Distribution and Nucleation Mechanisms: Analysis, Control, and Applications in Pharmaceutical Development
This article provides a comprehensive analysis of the critical relationship between nucleation mechanisms and crystal size distribution (CSD) in crystallization processes, with a specific focus on pharmaceutical applications.
Homogeneous vs. Heterogeneous Nucleation: A Comparative Analysis of Mechanisms, Outcomes, and Applications in Drug Development
This article provides a comprehensive comparative analysis of homogeneous and heterogeneous nucleation, tailored for researchers and professionals in drug development and materials science.
Validating Classical Nucleation Theory with Experimental Data: A Guide for Pharmaceutical Researchers
This article provides a comprehensive examination of how Classical Nucleation Theory (CNT) is validated against experimental data, with a special focus on applications in pharmaceutical research and drug development.