Research Articles
Gaussian Process Models for Material Property Prediction: A Guide for Biomedical Researchers
This article provides a comprehensive overview of Gaussian Process (GP) models for predicting material properties, with a special focus on applications relevant to drug development.
AI-Driven Link Prediction: Accelerating Material Property Discovery and Drug Development
This article explores the transformative role of AI-powered link prediction in material property discovery, a critical methodology for researchers and drug development professionals.
Optimal Experimental Design for Materials Discovery: Bayesian Methods, AI, and Self-Driving Labs
This article provides a comprehensive overview of optimal experimental design (OED) frameworks that are transforming materials discovery from a traditional, trial-and-error process into an efficient, informatics-driven practice.
Bridging Theory and Experiment: A Practical Guide to Validating DFT Predictions with Experimental Synthesis
This article provides a comprehensive guide for researchers and drug development professionals on the critical process of validating Density Functional Theory (DFT) predictions through experimental synthesis.
The Materials Genome Initiative: Accelerating Biomedical Innovation from Discovery to Clinical Deployment
This article explores the transformative impact of the Materials Genome Initiative (MGI) on biomedical and materials research.
Beyond the Prediction: A Practical Guide to Identifying Synthesizable Materials in Drug Discovery
Accelerating the transition from computational design to physical reality is a central challenge in modern drug discovery.
Beyond Thermodynamics: The Critical Role of Convex-Hull Stability in Predicting Synthesizable Materials and Pharmaceuticals
This article explores the pivotal role of convex-hull stability analysis in predicting the synthesizability of new materials and pharmaceutical polymorphs.
Data-Driven Material Synthesis: Accelerating Discovery from AI Prediction to Lab Validation
This article provides a comprehensive overview of data-driven methodologies revolutionizing the discovery and synthesis of novel materials.
How AI is Accelerating Materials Discovery: From Autonomous Labs to Clinical Breakthroughs
This article explores the transformative impact of Artificial Intelligence (AI) on materials discovery, a critical frontier for advancements in medicine and technology.
Validating Physical Plausibility in AI-Generated Molecular Structures: A 2025 Guide for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on validating the physical plausibility of computationally generated molecular structures.