Results 231 to 240 of about 473,176 (254)

Experimental investigation of semi-flexible pavement performance using optimized nano-silica and sugarcane bagasse ash modified grouts. [PDF]

Sci Rep
Sajid MA, Al-Nawasir R, Khan MI, Hanif MA, Almutairi O, Nasery MT, Abid M.   +6 more
europepmc   +1 more source

Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao, Qianyi Zhang, Xiangkang Kong, Zhaoxiang Wang, Xue‐Ping Gao, Paul R. Shearing   +5 more
wiley   +1 more source

Strength and resilient performance of expansive subgrades stabilized with apricot kernel shell ash. [PDF]

Sci Rep
Tanyildizi M.
europepmc   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

Study on the rationality of the construction scheme for cement-stabilized macadam base course. [PDF]

Sci Rep
Liu J, Ma S, Li Z, Wang L.
europepmc   +1 more source

Ultrathin Aluminum–Air Batteries via Hygroscopic Electrolytes for Continuous Operation of Imperceptible On‐Skin Electronics

Advanced Energy Materials, EarlyView.
This study presents ultrathin, high‐capacity aluminum‐air batteries (AABs) for self‐sustaining, skin‐conformal electronics. By utilizing ambient moisture and oxygen alongside a LiCl‐based hygroscopic hydrogel electrolyte, the design significantly reduces battery thickness while preventing dehydration and Al self‐corrosion.
Jaeil Park, Inho Lee, Namhee Kim, Wonseok Shin, Joo Sung Kim, Daegun Kim, Giwon Lee, Jinhan Cho, Hoon‐Hee Ryu, Myung‐Han Yoon, Seung Joon Yoo, Woo‐Jin Song, Sungjun Park   +12 more
wiley   +1 more source

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

Advanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi, Hiba Ali, Barbara Belza, Mattia F. Palermo, Claudio Gerbaldi, Giuseppe Antonio Elia, Nagore Ortiz‐Vitoriano   +6 more
wiley   +1 more source

Neural network model for resilient modulus of emulsified asphalt mixtures

Construction and Building Materials, 2008
This paper explores the potential use of neural networks (NNs) in the field of emulsified asphalt mixtures. A neural network model is developed for predicting, with sufficient approximation, relationship between the factors affecting resilient modulus ...
Şeref Oruc
exaly   +2 more sources

Resilient modulus of fine-grained soil and a simple testing and calculation method for determining an average resilient modulus value for pavement design

Transportation Geotechnics, 2016
The resilient modulus has been recognised as an important property that governs the performance of pavement materials under the dynamic wheel loads. The resilient modulus can be obtained from a repeated load triaxial test with a series of a combination ...
Abbas Mohajerani, Bao Thach Nguyen
exaly   +1 more source

Prediction of subgrade resilient modulus using artificial neural network

KSCE Journal of Civil Engineering, 2014
The development of an Artificial Neural Network (ANN) model to estimate subgrade resilient modulus is described in this paper. Nine (9) different sources of subgrade materials locally available in Georgia were subjected to the resilient modulus test with
Jin-Hoon Jeong
exaly   +2 more sources