Latest Publications

 In this study, a modular radial flow annular reactor using the strontium bromide hexahydrate-monohydrate conversion reaction is designed for long-term energy storage, and performance analysis is conducted for eight cities from the Indian Himalayan Region, each with distinct meteorological characteristics, to evaluate the system’s suitability.  The year-long charging and discharging efficiencies are nearly location-independent, with consistent values of ∼35 % and ∼74 %, respectively.

International collaboration in basic sciences allows researchers from different countries to pool their expertise, knowledge, and resources. This combined effort tackles complex scientific challenges that might be beyond the intellectual, technical, and financial capabilities of a single nation. It fosters the sharing of data and ideas, accelerates scientific progress and leads to breakthroughs that benefit all of humanity.

This chapter looks at ways in which male circular migration as a household livelihood strategy affects food access among rural households in India. Circular male labour migration is the dominant form of labour mobility in many parts of India. This migration pattern creates important rural-urban linkages through income transfers and alters within-household gender power relations.

Recent archaeological discoveries in Tamil Nadu reveal South India as an early hub of iron smelting, challenging historical timelines. Excavations at sites like Adichanallur and Sivagalai uncover advanced Iron Age culture,

Anthropogenic greenhouse gas emissions significantly impact the middle and upper atmosphere. They cause cooling and thermal shrinking and affect the atmospheric structure. Atmospheric contraction results in changes in key atmospheric features, such as the stratopause height or the peak ionospheric electron density, and also results in reduced thermosphere density. These changes can impact, among others, the lifespan of objects in low Earth orbit, refraction of radio communication and GPS signals, and the peak altitudes of meteoroids entering the Earth's atmosphere.

This study explores the realm of chaotic dynamics, Neurochaos Learning (a brain-inspired machine learning paradigm) and Normal numbers, focusing on the introduction of a novel chaotic trajectory termed the Universal Orbit. The study investigates the characteristics and generation of universal orbits within two prominent chaotic maps: the Decimal Shift Map and the Gauss Map. It explores the set of points capable of forming such orbits, revealing connections with normal numbers and continued fractions.

Inspired by the human brain's structure and function, Artificial Neural Networks (ANN) were developed for data classification. However, existing Neural Networks, including Deep Neural Networks, do not mimic the brain's rich structure. They lack key features such as randomness and neuron heterogeneity, which are inherently chaotic in their firing behavior. Neurochaos Learning (NL), a chaos-based neural network, recently employed one-dimensional chaotic maps like Generalized Lüroth Series (GLS) and Logistic map as neurons.