Results 111 to 120 of about 317,752 (229)

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Enhanced thermal performance of variable cross-section solar collectors: a case study in Santiniketan, India

Journal of Engineering and Applied Science
We present analytical models for variable cross-section absorber plate solar collectors, where the thermal conductivity, overall heat loss coefficient, and incident solar heat flux are power-law functions of temperature.
Pranab Kanti Roy
doaj   +1 more source

Thermometric Based‐Microswimmers with Chemical and Optical Engines

Advanced Intelligent Systems, EarlyView.
Temperature sensing at small scales is typically performed using passive luminescent particles. Here, an alternative approach is demonstrated by integrating upconversion thermometry into self‐propelled microswimmers powered by chemical fuels or light. This strategy offers a step toward dynamic thermal sensing at the microscale, relevant to both lab‐on ...
João M. Gonçalves, Katherine Villa
wiley   +1 more source

Influence of Aging on Thermal Runaway Behavior of Lithium-Ion Batteries: Experiments and Simulations for Engineering Education

Fire
This study investigates the impact of aging on the thermal runaway behavior of lithium-ion batteries. By combining external heating tests, cone calorimetry experiments, and numerical simulations, the thermal runaway characteristics of LFP and NMC ...
Jie Wang, Yihao Chen, Yufei Mei, Kaihua Lu   +3 more
doaj   +1 more source

Soft Robotic Sim2Real via Conditional Flow Matching

Advanced Intelligent Systems, EarlyView.
A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi, Xing Wang, André Farinha, Joshua Pinskier, Xing Shen, Richard Scalzo, David Howard   +6 more
wiley   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Proper Orthogonal Decomposition and Spectral Analysis of a Wall-Mounted Square Cylinder Wake

Journal of Aerospace Technology and Management, 2018
The flow patterns over a finite square cylinder of aspect ratio of 3 were analyzed experimentally in a subsonic wind tunnel using the time-resolved particle image velocimetry (TR - PIV) techniques.
Henrique Fanini Leite, Ana Cristina Avelar, Leandra de Abreu, Daniel Schuch, André Cavalieri   +4 more
doaj  

Evolution of physics-informed neural networks: Recent architectural variants and optimization strategies

Array
Physics-Informed Neural Networks (PINNs) are a machine learning technique that directly incorporates the governing physics of problems, such as partial differential equations (PDEs) and ordinary differential equations (ODEs), into the neural network ...
Ahmad, Husna Zafar, Aneeqa Zafar, Muhammad Noveel Sadiq, A.K. Awasthi, Homan Emadifar, Karim K. Ahmed   +6 more
doaj   +1 more source

Establishment of a novel cynomolgus monkey model of hyperuricemia

Animal Models and Experimental Medicine, EarlyView.
We established a novel hyperuricemia model in cynomolgus monkeys (A) via oral administration of potassium oxonate, hydrochlorothiazide, and adenine mixed in fruits and vegetables. This model (B) targets uric acid synthesis and enzymatic degradation, and (C) regulates renal and intestinal excretion, thereby stably elevating serum uric acid and serving ...
Ji‐Wei Wang, Le Zhang, Can Yang, Guan‐Cong Luo, Rui‐Chang Liu, Yan‐Jun Xu, Sheng Cheng, Wen‐Yu Jiang, Richard Ward, Yang Yang, Cheng Xiang, Shu An, Tian‐Rui Xu   +12 more
wiley   +1 more source

Environmentally Friendly Nanofiber Cellulose From Durian Rinds: A Sustainable Alternative Biomass Resource

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT A novel, efficient, and eco‐friendly sustainable process has been developed for the extraction of cellulose nanofibers (CNF) from durian rinds. The method utilizes low‐molecular‐weight 2,2,6,6‐tetramethylpiperidine‐1‐oxyl (TEMPO) as an oxidation agent, in conjunction with sonication treatment, resulting in a significant reduction of processing
Nyoman Puspa Asri, Minarni Wartiningsih, Chintya Gunarto, Antonius Jimmy Widagdo, Yohannes Somawiharja, Yustia Wulandari Mirzayanti, Jia‐Ming Chern, Suryadi Ismadji   +7 more
wiley   +1 more source