Results 211 to 220 of about 117,350 (296)

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

Thermal management of lithium-ion batteries: from single cooling to hybrid cooling. [PDF]

RSC Adv
Qianqian Z, Wei Z, Siyang W, Xufei Y, Guanglin L, Dongliang S, Bo Y.   +6 more
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Graphdiyne as a Hole‐Transport Channel in Carbon Nitride Heterojunctions for Synergistic CO2 Reduction and γ‐Butyrolactone Synthesis

Angewandte Chemie, EarlyView.
A fully metal‐free heterojunction constructed from graphdiyne (GDY) and polymeric carbon nitride (PCN) enables efficient coupling of CO2 reduction and tetrahydrofuran oxidation. GDY serves as a hole‐transport channel, establishing a built‐in electric field that drives spatial charge separation. The optimized catalyst achieves near‐unity selectivity for
Xuan Zhang, Junqi Chai, Chong Wang, Wei Lin, Jing Tang, Oleksandr Savateev, Jimmy C. Yu, Jiajia Cheng   +7 more
wiley   +2 more sources

Materials design for thermally improved safety in lithium-ion batteries. [PDF]

Chem Sci
Nan S, Gao G, Yu W, Ding S, Ding D.
europepmc   +1 more source

Microfluidic Valve‐Integrated Garment for Smooth Sequential Gradient Mechanotherapy

Advanced Intelligent Systems, EarlyView.
We present a soft wearable sleeve that delivers smooth, gap‐free compression using overlapping air‐filled actuators and tiny microfluidic valves. The system reduces bulk, lowers power needs, and uses a smartphone‐sized control box. It can provide sequential gradient compression, gradient pressure holding, and fast deflation, supporting more portable ...
Run Ze Gao, Chen Xi Huang, Drew M. Werbowski, Jacqueline Mary Kormylo, Clark R. Dickerson, Carolyn L. Ren   +5 more
wiley   +1 more source

Photocatalytic Transfer Hydrogenation Using Plastic Hydrolysates as Hydrogen Donor

Angewandte Chemie, EarlyView.
Plastic waste is transformed into functional amines via solar‐driven transfer hydrogenation. Soluble monomers from acid hydrolysis of waste polymers serve as a hydrogen (electron/proton)donors in the selective reduction of nitroarenes using a visible light active photocatalyst consisting of cobalt promoted molybdenum disulfide integrated in cyanamide ...
Papa K. Kwarteng, Afreen H. Naceruddin, Erwin Reisner   +2 more
wiley   +2 more sources

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Temperature and voltage effects on the charge and health of lithium-ion battery modules in light electric vehicles. [PDF]

Sci Rep
Quintana JM, Paredes-Rojas JC, Vázquez-Medina R, Jiménez-Ramírez O, Torres-San Miguel CR.   +4 more
europepmc   +1 more source

Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. [PDF]

Sci Rep
Parimala CHH, Varma PS, Kumar RS, Singh AR, Mohapatra B, Addis HK.   +5 more
europepmc   +1 more source