Table_1_Glass Fracture Upon Ballistic Impact: New Insights From Peridynamics Simulations.DOCX

Most glasses are often exposed to impact loading during their service life, which may lead to the failure of the structure. While in situ experimental studies on impact-induced damage are challenging due to the short timescales involved, continuum-based computational studies are complicated by the discontinuity in the displacement field arising from the propagation of cracks. Here, using peridynamics simulations, we investigate the role of the mechanical properties and geometry in determining the overall damage on a glass plate subjected to ballistic impact. In particular, we analyze the role of bullet velocity, bullet material, and elastic modulus, fracture energy, and radius of the plate. Interestingly, we observe a power-law dependence between the total damage and the fracture energy of the glass plate. Through an auto-regressive analysis of the evolution of cracks, we demonstrate that the self-affine growth of cracks leads to this power-law dependence. Overall, the present study illustrates how peridynamic simulations can offer new insights into the fracture mechanics of glasses subjected to ballistic impacts. This improved understanding can pave way to the design and development of glasses with improved impact-resistance for applications ranging from windshields and smart-phone screens to ballistics.</p

Unveiling the Glass Veil: Elucidating the Optical Properties in Glasses with Interpretable Machine Learning

Due to their excellent optical properties, glasses are used for various applications ranging from smartphone screens to telescopes. Developing compositions with tailored Abbe number (Vd) and refractive index (nd), two crucial optical properties, is a major challenge. To this extent, machine learning (ML) approaches have been successfully used to develop composition-property models. However, these models are essentially black-box in nature and suffer from the lack of interpretability. In this paper, we demonstrate the use of ML models to predict the composition-dependent variations of Vd and n at 587.6 nm (nd). Further, using Shapely Additive exPlanations (SHAP), we interpret the ML models to identify the contribution of each of the input components toward a target prediction. We observe that the glass formers such as SiO2, B2O3, and P2O5, and intermediates like TiO2, PbO, and Bi2O3 play a significant role in controlling the optical properties. Interestingly, components that contribute toward increasing the nd are found to decrease the Vd and vice-versa. Finally, we develop the Abbe diagram, also known as the "glass veil", using the ML models, allowing accelerated discovery of new glasses for optical properties beyond the experimental pareto front. Overall, employing explainable ML, we discover the hidden compositional control on the optical properties of oxide glasses

Redox Sensitive Self-Assembling Dipeptide for Sustained Intracellular Drug Delivery

The rational design and synthesis of molecules with functional supramolecular assemblies continues to be a challenging endeavor. Self-assembled nano- and microstructures from natural building blocks are considered more appropriate for medical applications due to their biocompatible nature. We report for the first time a simple redox-responsive dipeptide that self-assembles to form vesicles in aqueous medium. The experimental results based on the control compound and all-atom molecular dynamics (MD) simulations support the mechanism of association through intermolecular π–π interactions between the indole rings of tryptophan residues. These peptide vesicles showed a DOX loading capacity of ∼16% (w/w) and redox-triggered controlled release of the packaged drug. The drug-loaded vesicles were able to penetrate into MDA-MB-231 and HeLa cells, and release payload, suggesting their putative use as chemotherapeutic delivery vehicles. These natural peptide-based carriers disassemble inside cells due to the high cytosolic GSH concentration, and the resultant Cys-Trp dipeptide is degradable. The minimalistic peptide design presented here, coupled with the propensity to form vesicles that can encapsulate the chemotherapeutic drug, opens up unlimited potential for engineering targeted sustained-release drug delivery vehicles

Redox Sensitive Self-Assembling Dipeptide for Sustained Intracellular Drug Delivery

The rational design and synthesis of molecules with functional supramolecular assemblies continues to be a challenging endeavor. Self-assembled nano- and microstructures from natural building blocks are considered more appropriate for medical applications due to their biocompatible nature. We report for the first time a simple redox-responsive dipeptide that self-assembles to form vesicles in aqueous medium. The experimental results based on the control compound and all-atom molecular dynamics (MD) simulations support the mechanism of association through intermolecular π–π interactions between the indole rings of tryptophan residues. These peptide vesicles showed a DOX loading capacity of ∼16% (w/w) and redox-triggered controlled release of the packaged drug. The drug-loaded vesicles were able to penetrate into MDA-MB-231 and HeLa cells, and release payload, suggesting their putative use as chemotherapeutic delivery vehicles. These natural peptide-based carriers disassemble inside cells due to the high cytosolic GSH concentration, and the resultant Cys-Trp dipeptide is degradable. The minimalistic peptide design presented here, coupled with the propensity to form vesicles that can encapsulate the chemotherapeutic drug, opens up unlimited potential for engineering targeted sustained-release drug delivery vehicles