Imagen de Portada

Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bora, Aniruddha, Alvarez, Isabel K., Chalfant, Julie, Chryssostomidis, Chryssostomos
Formato:	Preprint
Publicado:	2026
Materias:	Neural and Evolutionary Computing Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning Computational Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking
por: Hou, Po-Han, et al.
Publicado: (2023)

Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing
por: Bora, Aniruddha, et al.
Publicado: (2026)

Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
por: Wong, Jian Cheng, et al.
Publicado: (2025)

Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
por: Wong, Jian Cheng, et al.
Publicado: (2023)

Alpha Mining and Enhancing via Warm Start Genetic Programming for Quantitative Investment
por: Ren, Weizhe, et al.
Publicado: (2024)

A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm
por: Ke, Zong, et al.
Publicado: (2024)

Graph Neural Network Assisted Genetic Algorithm for Structural Dynamic Response and Parameter Optimization
por: Mukherjee, Sagnik, et al.
Publicado: (2025)

Spiking Neural Network for Cross-Market Portfolio Optimization in Financial Markets: A Neuromorphic Computing Approach
por: Mohan, Amarendra, et al.
Publicado: (2025)

Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
por: Calero, Alberto Miño, et al.
Publicado: (2026)

PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes
por: Pugalenthi, Karkulali, et al.
Publicado: (2026)

Vessel Length Estimation from Magnetic Wake Signature: A Physics-Informed Residual Neural Network Approach
por: Fallah, Mohammad Amir, et al.
Publicado: (2025)

Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
por: You, Zinuo, et al.
Publicado: (2024)

Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)
por: Cornell, Cameron, et al.
Publicado: (2025)

Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
por: Rane, Chinmay, et al.
Publicado: (2023)

Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques
por: Gowani, Rifa, et al.
Publicado: (2024)

Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis
por: Kumar, Kandula Eswara Sai, et al.
Publicado: (2024)

An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms
por: Muñoz-Valero, David, et al.
Publicado: (2025)

Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
por: Pei, Yunhua, et al.
Publicado: (2024)

Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
por: Dittler, Daniel, et al.
Publicado: (2024)

Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems
por: Hamarashid, Hozan K., et al.
Publicado: (2024)

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
por: Wang, Yihe, et al.
Publicado: (2026)

Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets
por: Muñoz-Valero, David, et al.
Publicado: (2025)

Cross-Modal Temporal Fusion for Financial Market Forecasting
por: Pei, Yunhua, et al.
Publicado: (2025)

Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
por: Yan, Maohua, et al.
Publicado: (2024)

Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
por: Yang, Yisheng, et al.
Publicado: (2024)

AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
por: Grbcic, Luka, et al.
Publicado: (2025)

Application of Physics-Informed Neural Networks for Solving the Inverse Advection-Diffusion Problem to Localize Pollution Sources
por: Chuprov, Ivan, et al.
Publicado: (2025)

Input Specific Neural Networks
por: Jadoon, Asghar A., et al.
Publicado: (2025)

Echo State Networks for Bitcoin Time Series Prediction
por: Sharma, Mansi, et al.
Publicado: (2025)

Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks
por: Vanherreweghe, Mathew, et al.
Publicado: (2025)

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
por: Mishra, Akshansh
Publicado: (2024)

TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
por: Malettira, Prajna G., et al.
Publicado: (2024)

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
por: Salvador, Matteo, et al.
Publicado: (2024)

Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
por: Mazzieri, Riccardo, et al.
Publicado: (2025)

Robust blue-green urban flood risk management optimised with a genetic algorithm for multiple rainstorm return periods
por: Rehman, Asid Ur, et al.
Publicado: (2025)

Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
por: Zhang, Boxuan, et al.
Publicado: (2026)

Phylogeny-Informed Interaction Estimation Accelerates Co-Evolutionary Learning
por: Garbus, Jack, et al.
Publicado: (2024)

Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics
por: Hildebrand, Stefan, et al.
Publicado: (2023)

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
por: Shen, Guobin, et al.
Publicado: (2025)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
por: Feng, Linghao, et al.
Publicado: (2024)