Results 81 to 90 of about 2,793 (264)

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

Impact of Chemicals and Processing Treatments on Thermo-Mechanical Recycling of Polyester Textiles

Molecules
The textile industry is among the world’s largest, producing an estimated 124 million tonnes of fibres in 2023, with more than half of these being made from virgin polyester. Less than 0.1% of polyester fibres are recycled into new textiles at the end of
Zara Standring, Lisa Macintyre, Gigi Jiang, David Bucknall, Valeria Arrighi   +4 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

Effect of Thermomechanical Fermented Soybean Meal on Javanese Super Chicken’s Performance, Protease, and Blood Metabolic

Animal Production: Indonesian Journal of Animal Production
Soybean meal, feedstuff obtained from soy seed oil extraction, is a common feed ingredient for poultry despite containing antinutritional factors (ANFs), which can alter digestive activity and decrease poultry productivity. ANFs are reportedly eliminable
Muhammad Arif Darmawan, Wahyu Subagio Saputro, Pramita Nindya Saraswati, Wahyu Setyono, Aan Andri Yano, Novi Akhirini, Wara Pratitis Sabar Suprayogi   +6 more
doaj   +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

Effects of aging on the microstructure and mechanical properties of metastable β-type Ti-23.6Nb-5.1Mo-6.7Zr alloy with low elastic modulus

Journal of Materials Research and Technology
In this study, the influence of thermomechanical treatments on the microstructure and mechanical properties of a new metastable β-titanium Ti-23.6Nb-5.1Mo-6.7Zr alloy was assessed.
Aline Raquel Vieira Nunes, Sinara Borborema, Caio Marcello F. Azevedo Cossú, Leonardo Sales Araújo, Jean Dille, Loïc Malet, Michael J. Kaufman, Luiz Henrique de Almeida   +7 more
doaj   +1 more source

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

Influence of thermomechanical processing on biomechanical compatibility and electrochemical behavior of new near beta alloy, Ti-20.6Nb-13.6Zr-0.5V

International Journal of Nanomedicine, 2015
Mohsin Talib Mohammed,1 Zahid A Khan,1 Geetha Manivasagam,2 Arshad N Siddiquee1 1Mechanical Engineering Department, Faculty of Engineering, Jamia Millia Islamia, New Delhi, 2Centre for Biomaterials Science and Technology, VIT University, Vellore, India
Mohammed MT, Khan ZA, Manivasagam G, Siddiquee AN   +3 more
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