Results 101 to 110 of about 13,809,699 (303)

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Effect of Thermomechanical Treatment on Structure and Functional Fatigue Characteristics of Biodegradable Fe-30Mn-5Si (wt %) Shape Memory Alloy. [PDF]

Materials (Basel), 2021
Prokoshkin S, Pustov Y, Zhukova Y, Kadirov P, Karavaeva M, Prosviryakov A, Dubinskiy S.   +6 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Structural-phase state and microhardness of reduced-activation 12-% chromium ferritic-martensitic steel after thermomechanical treatmentswith deformation at 1000°C and 1100°C

Frontier Materials & Technologies
Russian 12-% chromium ferritic-martensitic EK-181 steel (RUSFER-EK-181 Fe–12Cr–2W–V–Ta–B) is a promising structural material for power plants.
Valeria V. Osipova, Nadezhda A. Polekhina, Igor Yu. Litovchenko   +2 more
doaj   +1 more source

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

Bronchoscopy Robot with Enhanced Flexibility and Stability via Multi‐Segment Variable Stiffness Catheter

Advanced Intelligent Systems, EarlyView.
This work presents a magnetic bronchoscopy robot with a novel multi‐segment variable stiffness catheter. This catheter can not only move flexibly in the narrow bronchi but also harden according to the need to provide support. Combined with remote wireless magnetic field drive, it provides a more precise and effective solution for biopsy of deep lung ...
Shucong Yin, Bin Huang, Shiyuan Dong, Junhao Wang, Liangshen Zhao, Yang Yang, Bingkun Bao, Hongen Liao, Fang Chen, Tianqi Huang, Boyu Zhang   +10 more
wiley   +1 more source

Microwave‐Assisted Alcoholysis of Ethylene–Vinyl Acetate: Phenomenological and Thermal Evolution of EVAOH Terpolymers

Journal of Applied Polymer Science, EarlyView.
Microwave‐assisted alcoholysis converts EVA into EVAOH terpolymers, promoting a progressive transition from EVA‐like crystallites to VOH‐rich hydrogen‐bonded crystalline domains. Solvent‐controlled swelling influences conversion kinetics, while thermal analysis reveals a sigmoidal increase in melting temperature that a two‐population crystallization ...
Fernanda Trindade Gonzalez Dias, Aline Benittes dos Santos, Lucas Dall Agnol, Otávio Bianchi   +3 more
wiley   +1 more source

Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design

Journal of Applied Polymer Science, EarlyView.
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder, Rodrigo Q. Albuquerque, Florian Max, Holger Ruckdäschel   +3 more
wiley   +1 more source

Study on the Influence of the Chemical Composition in the Thermomechanical Processing of the Steel Products

The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, 2009
This paper presents the results of industrial scale researches on the influence of the chemical composition on the characteristics of high yield point plates of wieldable fine grain steels. The comparative study of the mechanical characteristics obtained
Elisabeta VASILESCU, Ioan VASILESCU, Ana DONIGA, Marian NEACSU   +3 more
doaj  

Influence of Annealing Temperature on the Thermomechanical Properties and Dimensional Stability of FFF‐Printed PET‐CF

Journal of Applied Polymer Science, EarlyView.
Following extrusion at 265°C, components underwent a 45‐min annealing process at temperatures from 145°C to 225°C. The results show that increasing the annealing temperature elevates the onset of thermal softening, significantly enhancing thermal reliability.
Robin Mähnert, Matthias H. Deckert, Alexander Melzer‐Bartsch, Simon J. Heienbrock   +3 more
wiley   +1 more source