Easwari Engineering College

Unlocking catalytically active sites in FeMnS/MXene@Ni(OH)2 arrays via heterojunction strategy for highly efficient overall water splitting

Developing efficient and earth-abundant bifunctional electrocatalysts for water electrolysis remains a critical challenge due to sluggish reaction kinetics and limited structural durability. Herein, a FeMnS/Ti 3 C 2 T x @Ni(OH) 2 (NFMM) heterostructure is fabricated through the s...

Data-driven robust design for industrial cylindrical plunge grinding of piston rings: Requirements for reliable digital-twin development under production noise

Cylindrical plunge grinding of piston rings is a precision finishing operation, and its dimensional accuracy governs engine sealing and emission compliance. It is widely assumed that such accuracy can be controlled through fixed machine settings; this study tests this assumption...

Energy Efficient Federated Graph Reinforcement Learning and Digital Twin Assisted Demand Response for Blockchain-Enabled Self-Healing Smart Grids

Abstract Smart grids today are highly decentralized and data-driven, with the growing incorporation of renewable energy resources, electric vehicles, distributed energy systems and intelligent edge devices. Energy efficiency, operational resilience, privacy protection and secure...

Adaptive timestamp based concurrency control for efficient transaction processing in permissioned blockchains

Efficient concurrency control is key on permissioned blockchain platforms like Corda, where transaction volumes are high and contention is rife. In some hotspot situations, conventional concurrency control mechanisms such as Two-Phase Locking, Optimistic Concurrency Control, Mult...

The Mechanics of Neural Computation from High-Dimensional State Dynamics to Emergent Computation in Large Neural Networks

Neural computation is increasingly understood not as a sequence of isolated input–output operations, but as the structured transformation of high-dimensional internal states. This review develops a unified perspective on the mechanics of neural computation by tracing its evolutio...

Silanized Rice‐Husk Nanosilica/ PLA ‐ PBS –Borassus Fiber Biocomposites: Balancing Tribological Durability With Soil‐Burial Biodegradation and Aerobic Mineralization

ABSTRACT Biodegradable PLA/PBS composites reinforced with lignocellulosic fibers remain limited by poor fiber–matrix compatibility, moisture sensitivity, interfacial defects, and wear. The specific knowledge gap addressed here is whether coordinated GPTMS modification of microsca...

Performance-based selection of cathodic-arc PVD TiAlN and AlCrN coatings for SR34 piston-ring steel: Tribological, tribocorrosion and thermal assessment

Piston rings operate under severe sliding conditions, high temperatures, and corrosive environments, making surface degradation a critical factor affecting engine durability. This study presents a comparative evaluation of cathodic-arc physical vapor deposition (CA-PVD) TiAlN and...