Results 151 to 160 of about 736,057 (283)

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

Predictive, Data‐Driven Design of Red‐Light Photoredox Catalysts for C─Heteroatom Bond Formation

Angewandte Chemie, EarlyView.
From redox numbers to red light: Donor oxidation and core reduction potentials predict E0‐0 in cyanoarene dyes, guiding selection of an efficient red‐light catalyst, 4MeODPATPN (PC13). Under 620 nm light, PC13 facilitates Ni‐catalyzed C─heteroatom cross‐couplings (C─N, C─O, C─S) with high functional‐group tolerance and reduced hydrodehalogenation ...
Amir Gizatullin, Tingting Yuan, Sascha Grotjahn, Luigi Cavallo, Burkhard König, Chen Zhu, Magnus Rueping   +6 more
wiley   +2 more sources

Whale Optimization Algorithm BP Neural Network with Chaotic Mapping Improving for SOC Estimation of LMFP Battery

Energies
The state of charge (SOC) is a core parameter in the battery management system for LMFP batteries. Accurate SOC estimation is crucial for ensuring the safety and reliability of energy storage applications and new energy vehicles.
Jian Ouyang, Hao Lin, Ye Hong
doaj   +1 more source

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, EarlyView.
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Kim Da Ye, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Factor XIII Supplementation in Postpartum Hemorrhage: From Biological Rationale to Clinical Implementation

American Journal of Hematology, EarlyView.
ABSTRACT Postpartum hemorrhage (PPH) remains the leading cause of preventable maternal mortality despite standard interventions. Recent fibrinogen trials failed to improve outcomes, prompting interest in coagulation factor XIII (FXIII). FXIII functions as “molecular cement,” cross‐linking fibrin and stabilizing clots.
Jeremy W. Jacobs, Elizabeth A. Abels, Brian D. Adkins, Garrett S. Booth, Victoria Costa, Sheharyar Raza, Michelle Simon, Jennifer S. Woo, Allison P. Wheeler   +8 more
wiley   +1 more source

2026 Update on the Management of Diffuse Large B‐Cell Lymphoma

American Journal of Hematology, EarlyView.
ABSTRACT Diffuse large B‐cell lymphoma (DLBCL) is the most common type of NHL in the Western Hemisphere. It comprises a heterogenous group of lymphomas, with different biology and clinical prognoses. R‐CHP remains the backbone of therapy, and frontline therapeutic options in fit patients are pola‐R‐CHP and R‐CHOP, whereas elderly or frail/unfit ...
Elise A. Chong, Emily B. Tomasulo, Stefan K. Barta   +2 more
wiley   +1 more source

Behavior data of battery and battery pack SOC estimation under different working conditions. [PDF]

Data Brief, 2016
Zhang X, Wang Y, Yang D, Chen Z.
europepmc   +1 more source

Investigation on SOC Estimation Algorithms for VRFB

International Journal of Smart Grid and Clean Energy, 2021
openaire   +1 more source

First‐Principles Investigation of the Electronic, Phonon, Optical, and Elastic Properties of AgBiTeSe

Advanced Physics Research, EarlyView.
This study presents a first‐principles investigation of the electronic, vibrational, optical, and elastic properties of AgBiTeSe. The results highlight its metallic behavior, dynamic stability, strong optical absorption, and promising thermoelectric potential.
Nilufer Yesmin Tanisa, Munshi H. M. Rahat, Sayed Bony Amin, Md. Karimul Islam   +3 more
wiley   +1 more source