Defence Research and Development Organisation

Machine learning for burning rate prediction of solid propellants

The burn rate is a key performance parameter in the development of new propellant formulations. However, its experimental determination is highly time- and resource-intensive, which demands faster, more economical predictive methods prior to experimentation. In this study, a mach...

Technology-Driven Evolution of Modern Toxicology: Role of Computational Toxicology

Toxicology is the study of the harmful effects of chemicals, substances, or environmental agents on living systems. Toxicity studies are essential for determining the health impact and risk-assessment of new drug molecules, cosmetics, healthcare and consumer products, and environ...

Effect of Advancements in Computer Technologies in Modern Healthcare Systems

Traditional digital healthcare primarily focuses on passive storage systems where the data is not used for making a clinical narrative or model new biological mechanics. To overcome these limitations, health informatics is adopting Large Language Models (LLMs) to automate clinica...

Current-Step-Based Fast Electrochemical Parameter Identification for PEMWE Using a Physics-Informed Neural Network

Electrochemical parameter identification is crucial for evaluating the electrochemical processes in proton exchange membrane water electrolysis (PEMWE). Conventional characterization techniques-including polarization-curve fitting, electrochemical impedance spectroscopy (EIS), cy...

3D-printed nanoparticle-encapsulated alginate carriers for breast cancer modeling, diagnosis, and precision therapy

Breast cancer is the most prevalent cancer among women, with approximately 2.3 million new cases and 685,000 deaths reported annually. Projections indicate that the global burden will exceed 6 million cases by 2050, underscoring the necessity for innovative research models and th...