Research Articles
From In-Silico to In-Vitro: A Strategic Framework for Validating Computational Predictions Through Experimental Synthesis
This article provides a comprehensive guide for researchers and drug development professionals on bridging the critical gap between computational predictions and experimental synthesis.
Optimizing Experimental Conditions in Machine Learning for Drug Discovery: A Guide for Researchers
This article provides a comprehensive guide for researchers and drug development professionals on optimizing experimental conditions in machine learning.
Overcoming BCS Class IV Drug Challenges: Advanced Formulation Strategies for Bioavailability Enhancement
This article provides a comprehensive analysis of advanced strategies to overcome the dual challenges of low solubility and low permeability in Biopharmaceutics Classification System (BCS) Class IV drugs.
Machine Learning in Inorganic Materials Synthesis: From Predictive Models to Autonomous Discovery
This article comprehensively explores the transformative role of machine learning (ML) in accelerating and optimizing the synthesis of inorganic materials.
Improving Reproducibility in Inorganic Materials Synthesis: From Foundational Challenges to AI-Driven Solutions
This article provides a comprehensive roadmap for researchers and drug development professionals aiming to overcome the pervasive challenge of irreproducible synthesis in inorganic materials.
Flux Synthesis of Metastable Inorganic Compounds: Accelerating Discovery for Advanced Materials and Biomedicine
This article explores flux synthesis, a powerful method for discovering metastable inorganic compounds that are inaccessible through traditional high-temperature solid-state reactions.
Panoramic Synthesis: A Revolutionary Approach to Discovering Inorganic Solid-State Compounds
This article explores panoramic synthesis, an advanced in situ technique that maps the entire reaction pathway of inorganic solid-state compounds in real-time.
Targeted Synthesis in Inorganic Melt Chemistry: Accelerating Discovery with Computational and Autonomous Methods
This article explores the transformative role of inorganic melt chemistry in the targeted synthesis of novel materials, with a focus on applications relevant to biomedical and clinical research.
Harnessing Metastability: Thermodynamic and Kinetic Strategies for Designing Novel Inorganic Phases
This article explores the critical interplay between thermodynamics and kinetics in the discovery and synthesis of novel inorganic phases.
Benchmarking BSSE Correction Methods: A Practical Guide for Accurate Modeling of Weak Interactions in Drug Development
Accurately calculating weak intermolecular interactions is crucial for reliable predictions in drug design and materials science, but these calculations are inherently susceptible to Basis Set Superposition Error (BSSE).