eess papers | Gist.Science

Optimization of Anchor Location and Inclination in Multi-Layered Cohesive–Frictional Soils Using Parametric FEM Analysis

This study utilizes a comprehensive parametric finite element analysis of 216 simulations to optimize anchor location and inclination for sheet pile walls in layered cohesive–frictional soils, demonstrating that strategic placement in the transition zone and inclined configurations significantly reduce wall displacement and bending moments while providing validated empirical design tools for improved geotechnical stability.

Mahendra Acharya, Diwash Bhattarai2026-07-14

⚡ electrical engineering

Fabrication and DC Characterization of BST-Gated AlGaN/GaN MOS-HEMT Structures in Two- and Three-Terminal Configurations

This study fabricates and characterizes micro-scale AlGaN/GaN MOS-HEMT devices with and without BST gate dielectrics in both two- and three-terminal configurations, reporting key DC performance metrics such as a threshold voltage of 0.028 V, an on-current of approximately 10⁻⁸ A, and a maximum transconductance of 4.0×10⁻⁶ S.

Abdullah2026-07-14

⚡ electrical engineering

Bridging Continents in Geotechnics: A Swarm-Intelligence Transferability Index for Raft Foundations on Expansive Soils

This paper proposes a conceptual framework and a qualitative Transferability Index to adapt swarm-intelligence optimization methods, currently validated in Indian geotechnical practice, for the design of raft foundations on expansive soils within Peru's distinct seismic, climatic, and regulatory context.

PAUL RICARDO PRUDENCIO GALVEZ2026-07-14

⚡ electrical engineering

IoT-Based Data-Driven Framework in Environmental Impact Assessment for Urban Development Projects

This research proposes an IoT-based framework that integrates real-time sensor data, cloud computing, and automated decision-making to enhance the effectiveness, transparency, and regulatory compliance of Environmental Impact Assessments (EIA) for urban development projects in India, while emphasizing that such technology serves as a supportive tool for expert evaluation rather than a replacement.

TEENA NICHANT, Ravi Pareek2026-07-14

⚡ electrical engineering

Statistical Modeling and Optimization of Oxide Layer Thickness During Electrolytic In-Process Dressing (ELID) Grinding Using Response Surface Methodology

This study employs Response Surface Methodology to statistically model and optimize the effects of voltage, electrode gap, and coolant speed on oxide layer thickness in ELID grinding, identifying voltage as the dominant factor and establishing optimal conditions of 70 V, 0.10 mm gap, and 6 L/min coolant speed to minimize thickness.

Mohammed Y. Tharwan2026-07-14✓ Author reviewed ⓘ

⚡ electrical engineering

Design and Simulation of a Glucose Oxidase-Functionalized Dual-Gate HfO₂/TIPS-Pentacene Organic Transistor for Glucose Sensing Application

This paper presents a compact-model-based simulation of a dual-gate organic thin-film transistor featuring a TIPS-pentacene channel functionalized with glucose oxidase and a high-k HfO₂ dielectric, demonstrating how glucose-induced interfacial charge perturbations modulate the device's electrical characteristics for potential sensing applications.

NEELU, KAUSHIK MAZUMDAR2026-07-14

⚡ electrical engineering

Deep Learning for Material Stress-Strain Relations: Optimizing MechBERT for Extractive Question-Answering in Magnetorheological Elastomers

This research demonstrates that optimizing data structure and architectural alignment, rather than increasing model scale, enables the fine-tuned MechBERT model to effectively extract mechanical properties from magnetorheological elastomer literature, outperforming larger models in specialized scientific informatics.

Miles Sung-Yuan Liu2026-07-14

⚡ electrical engineering

Mount Selection Strategy: Ensuring Compliance for Noise and Vibration in Shipboard Critical Machinery

This paper argues that ensuring compliance with shipboard noise and vibration limits requires a collaborative, customized approach to machinery mount selection between designers and OEMs, detailing critical design parameters, the efficacy of double-stage raft isolation, and the influence of mount stiffness on structure-borne noise to meet performance targets and support underwater radiated noise management.

Akula Chaturvedi, Sharad S Dhavalikar2026-07-14

⚡ electrical engineering

Deep Reinforcement Learning-Based Adaptive Coordination of DC Reactor Fault Current Limiters for Protection of Hybrid AC/DC Microgrids with High Renewable Penetration

This paper proposes a Deep Q-Network-based adaptive coordination framework for DC Reactor Fault Current Limiters that dynamically optimizes impedance and switching sequences in hybrid AC/DC microgrids, significantly outperforming conventional fixed strategies in fault current reduction, voltage restoration, and protection selectivity under high renewable energy penetration.

B. Venkata Ramana¹, Sridhar Savarapu²2026-07-14

⚡ electrical engineering

An Enhanced Suppression Density-optimized Fire Suppression Framework Using Bsoa for Electric Two-wheelers

This paper proposes a novel fire suppression framework for electric two-wheelers that utilizes the BobCat Shubert Optimization Algorithm (BSOA) to dynamically optimize agent suppression density, thereby rapidly extinguishing lithium-ion battery fires while protecting sensitive components and preventing re-ignition.

Prajna K B, Roopa Manjunatha2026-07-14

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