Results 111 to 120 of about 36,864 (314)

Reversible Stress‐memory Phosphorescent Carbon Nanodots via Supramolecular Confinement Engineering for Aerospace Monitoring

Advanced Science, EarlyView.
A kind of new CNDs‐based materials with reversible mechano‐responsive phosphorescence emission through incorporating CNDs into the supramolecular rigid network is leveraged for aerospace applications, where the CND‐embedded film demonstrated memorable visualization of stress distribution in wings under sudden mechanical events (e.g., micro‐impacts ...
Yachuan Liang, Haochun Shao, Kaikai Liu, Qing Cao, Liying Jiang, Chongxin Shan, Leman Kuang, Hui Jing   +7 more
wiley   +1 more source

Bridging Green Chemistry and Circular Economy: A Pathway to Sustainable Polyester Plastics Through Feedstock, Synthesis, and Waste Upcycling

Advanced Science, EarlyView.
This review summarizes green and low‐carbon strategies throughout the entire life cycle of polyester plastics, including sustainable monomer synthesis, optimization polymerization, efficient recycling, and advanced upcycling technologies. The synergistic implementation of these strategies is expected to significantly promote the development of a ...
Jinzhou Li, Junliang Chen, Yingbing Zhang, Li Wang, Pin Gao, Jianping Yang   +5 more
wiley   +1 more source

Transition of the automotive industry towards electric vehicle production in the east European integrated periphery. [PDF]

Empirica (Dordr), 2023
Pavlínek P.
europepmc   +1 more source

AN ANALYSIS OF THE EFFECTS OF LEADERSHIP QUALITY ON ORGANISATIONAL SUCCESS, WITH PARTICULAR REFERENCE TO AUTOMOTIVE INDUSTRIES, CHENNAI

, 2022
S.CHANDRAMOULI, D.LEELAVATHY, V.MAHENDRAN, M. Ramu   +3 more
openalex   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Strategy of the Automobile Industry Development and Measures on Ensuring Its Competitiveness in the Conditions of International Economic Integration

Евразийская интеграция: экономика, право, политика, 2019
The paper reviews the documentations of the Russian automotive industry strategic planning. The stages of the automotive industry development in Russia are considered.
Mikhail Yu. Elsukov, Alexey P. Isaev, Vladislav M. Khodachek   +2 more
doaj  

Evaluate the influence of several parameters on the HCCI combustion process in a constant volume combustion chamber

Discover Applied Sciences
The combustion process in a Homogeneous compression charge ignition (HCCI) engine is complex and determined by the dynamics of chemical reactions, while the combustion timing remains challenging to control.
Nguyen Van Tuan, Nguyen Phi Truong, Le Duc Hieu   +2 more
doaj   +1 more source

Blockchain-Based Secure Storage and Access Control Scheme for Supply Chain Ecological Business Data: A Case Study of the Automotive Industry. [PDF]

Sensors (Basel), 2023
Li S, Zhou T, Yang H, Wang P.
europepmc   +1 more source

Identifying Factors Affecting EDI Adoption in the Automotive Supply Industry: A Quantitative Study

, 2018
Said Drissi, Mhamed Hamiche
openalex   +1 more source

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source