Sandip Foundation

Design and implementation of FLC and SVSC techniques for MPPT battery charging and dual-leg DC–AC conversion in hybrid electric power systems

Abstract Hybrid renewable energy systems (HRES) commonly rely on multistage power conversion structures, which increase circuit complexity, switching losses, and overall system cost, while potentially decreasing conversion efficiency. To overcome these limitations, this study pro...

Design, synthesis, SAR, in silico and in vitro evaluation of 1, 3, 4-oxadiazole derivatives against breast cancer

The 1,3,4-oxadiazole scaffold is well recognized for its anticancer potential. Based on our previous work, we designed and synthesized nine 1,3,4-oxadiazole derivatives (R1–R9) via Schiff base formation followed by cyclization. The compounds were characterized by FT-IR, ¹H NMR, a...

Development and validation of genome-wide simple sequence repeat markers for large scale genotyping applications in barnyard millet (Echinochloa spp.)

Genomic resources for domesticated Echinochloa species are inadequately characterized, while research on extensive diversity panels and trait mapping remains in its nascent stages. This study aimed to develop and validate genome-wide simple sequence repeat (SSR) markers from the...

Structure–property–wear relationships and failure mechanisms in TiAlN, AlCrN and AlTiCrN hard coatings for cutting tool applications: A review

Hard nitride coatings are widely applied to cutting tools to improve wear resistance, thermal stability, and machining performance under severe thermo-mechanical conditions. This review critically examines TiAlN, AlCrN, and AlTiCrN coatings within a structure–property–wear–machin...

Digital-twin-enabled reinforcement learning for energy-efficient and reliability-aware software-defined electric vehicles

Software-defined electric vehicles (SDEVs) require intelligent control frameworks that simultaneously optimize energy efficiency and powertrain reliability. However, existing studies typically treat reinforcement learning, digital twins, and predictive health monitoring as separa...