Results 121 to 130 of about 11,624 (301)

Thin‐Film Thermal Sensors on Chitosan Substrates for Sustainable Transient Electronics

Advanced Electronic Materials, EarlyView.
Fully transient thin‐film temperature sensors are realized on pure chitosan substrates using Mo‐based RTDs and a‐IGZO/Mo thermistors. The devices exhibit high sensitivity, mechanical flexibility, humidity‐aware operation, and complete dissolution in natural solvents.
Ahmed Rasheed, Soufiane Krik, Sundus Riaz, Hafiza Faiqa Maqsood, Jacopo Nicoletti, Riccardo Zamboni, Guglielmo Trentini, Pietro Ibba, Franco Cacialli, Andrea Gaiardo, Giuseppe Cantarella, Niko Münzenrieder, Paolo Lugli, Giovanni Antonio Salvatore, Luisa Petti   +14 more
wiley   +1 more source

How the Thermomechanical Processing Can Modify the High Strain Rate Mechanical Response of a Microalloyed Steel. [PDF]

Materials (Basel), 2021
Błoniarz R, Majta J, Rutkowski B, Korpała G, Prahl U, Janiszewski J, Lisiecka-Graca P.   +6 more
europepmc   +1 more source

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

Grain refinement through thermomechanical processing

, 2002
Grain refinement through thermomechanical ...
Peter Hodgson (13089276), Georgina Kelly (13071438)   +1 more
core  

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

Ultra Grain Refinement During the Simulated Thermomechanical-processing of Low Carbon Steel

, 2012
Grain refinement is a useful method to improve the strength and toughness of steels without changing their chemical composition. In this study, critical temperatures for the thermomechanical treatment of niobium microalloyed steel were determined ...
Balancin, Oscar, Guedes, Luiz Henrique, Jorge Junior, Alberto Moreira   +2 more
core   +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

Study of the Effect of Thermomechanical Treatments on the Property of Beryllium Bronze in Order to Expand Its Application

Қарағанды университетінің хабаршысы. Физика сериясы
The article is devoted to the study of the influence of thermomechanical treatments on mechanical and physicochemical properties of beryllium bronze in order to expand its application in modern technologies. This paper studies the influence of different
B.K. Rakhadilov, A.B. Kengesbekov, N.M. Magazov, A.A. Kusainov, L.S. Kairbaeva, Y.S. Molbosynov   +5 more
doaj   +1 more source

Microstructures and Mechanical Properties of Hybrid, Additively Manufactured Ti₆Al₄V after Thermomechanical Processing. [PDF]

Materials (Basel), 2021
Hemes S, Meiners F, Sizova I, Hama-Saleh R, Röhrens D, Weisheit A, Häfner CL, Bambach M.   +7 more
europepmc   +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