RIFAT  SARKER  APU

Spintronics utilizes electron spin for data storage and processing, offering faster speeds and lower power consumption than traditional electronics. Advanced applications include quantum computing, high-density memory, and next-gen sensors for healthcare and environmental monitoring. 

Double perovskites are an exciting class of materials with unique and tunable properties. Ongoing research and advancements in synthesis techniques are likely to expand their applications in various technological fields, leading to innovations in electronics, energy, and environmental technologies.

Solar cells are a type of photovoltaic technology that uses a perovskite-structured compound as the light-absorbing material. They are known for their high efficiency, low production cost, and flexibility compared to traditional silicon-based solar cells. Perovskite cells show great potential in next-generation solar energy, with applications in flexible electronics and transparent solar panels for windows. 

Multivalent batteries are a promising new technology for energy storage, but they face challenges in developing suitable electrolytes that can support reversible deposition/dissolution at the metal anode and enable compatibility with high-voltage oxide cathode materials. This work introduces a new class of catalysts with potential to fundamentally solve challenges of this type of battery at high current rates. 

Double perovskite materials exhibit promising thermoelectric properties due to their complex crystal structures, which can facilitate phonon scattering and enhance the Seebeck coefficient. Additionally, their tunable band structures allow for optimization of electrical conductivity, resulting in improved thermoelectric efficiency. These materials show potential for applications in waste heat recovery and solid-state cooling systems.

Superconductivity can be explored using Density Functional Theory (DFT), a powerful computational method. DFT accurately predicts electronic structures and phonon spectra, crucial for understanding superconducting mechanisms. By simulating electron-phonon interactions and superconducting critical temperatures, DFT aids in the design of novel superconducting materials.