This article provides a comprehensive guide for researchers and computational chemists on leveraging state-of-the-art neural network potentials to achieve coupled-cluster (CCSD(T)) quality accuracy in simulating large-scale polymer systems.
This article provides a comprehensive overview of using the CCSD(T) quantum chemical method as a high-accuracy benchmark for predicting polymer properties, crucial for drug delivery systems and biomaterials.
This article provides a comprehensive comparison of bulk and surface polymerization techniques for creating polymeric adsorbents to remove process-related and product-related impurities in drug development.
This comprehensive article provides researchers, scientists, and drug development professionals with a systematic framework for benchmarking polymer properties across major classes, including thermoplastics, thermosets, elastomers, and biodegradable polymers.
This comprehensive article explores the transformative role of Bayesian Optimization (BO) in automating and accelerating the discovery of polymer synthesis conditions for biomedical applications.
This article provides a comprehensive guide to B-spline modeling for molecular weight distribution (MWD) approximation, a critical aspect of biotherapeutic characterization.
This article explores the transformative integration of Artificial Intelligence (AI) into polymer science, specifically targeting researchers, scientists, and drug development professionals.
This article provides a targeted guide for analytical scientists and pharmaceutical researchers on designing, executing, and troubleshooting accuracy and precision studies for impurity analysis methods.
This article provides a detailed guide to ASTM methods for testing viscosity index improver (VII) performance, tailored for researchers and formulators in lubricant development.
This comprehensive guide explains the ASTM D7028 standard for determining the glass transition temperature (Tg) of polymers and polymer matrix composites using Dynamic Mechanical Analysis (DMA).