Results 131 to 140 of about 1,970,939 (305)

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

State of Power Prediction for Battery Packs Based on Particle Swarm Optimization SVM

Batteries
Lithium-ion batteries are widely used in energy storage systems and consumer electronics; however, long-term usage leads to capacity degradation, which affects system efficiency and safety.
Hangang Yan, Qingbin Wang, Yun Yang, Xianzhong Zhao, Zudi Huang, Yuxi Wang, Shi Liu, Bin Yi, Gancai Huang, Jianfeng Yang   +9 more
doaj   +1 more source

Ground‐State Charge‐Transfer Doping in Donor–Acceptor Semiconducting Polymers

Advanced Functional Materials, EarlyView.
This work demonstrates controlled ground‐state charge‐transfer complex formation (GS‐CTC) and doping in a series of diketopyrrolopyrrole‐based donor–acceptor semiconducting polymers paired with a π‐conjugated penta‐t‐butylpentacyanopentabenzo[25]annulene “cyanostar” macrocycle. Complementary experimental techniques show how subtle molecular, electronic,
Tanner L. Smith, Akshay N. Shah, Tanya A. Balandin, Michel De Keersmaecker, Paramasivam Mahalingam, Debapriya Gupta, Siqi Yu, Eui Hyun Suh, Pushkar Dalal, Erin L. Ratcliff, Scott P. O. Danielsen, Tse Nga Ng, Amar H. Flood, Jason D. Azoulay   +13 more
wiley   +1 more source

Predicting Pipe Failures: A Machine Learning Approach to Asset Management in District Heating

IEEE Access
As district heating networks (DHNs) across Europe near or surpass their intended service life, the need for proactive, data-driven maintenance and replacement planning is increasing.
Tobias Vilbrad Rishoj Jensen, Maryamsadat Tahavori, Hamid Reza Shaker, Hamid Mirshekali   +3 more
doaj   +1 more source

Remaining Useful Lifetime Prediction Based on Extended Kalman Particle Filter for Power SiC MOSFETs. [PDF]

Micromachines (Basel), 2023
Wu W, Gu Y, Yu M, Gao C, Chen Y.
europepmc   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Model-Based Fatigue Life Prediction of Hydraulic Shock Absorbers Equipped with Clamped Shim Stack Valves

Applied Sciences
In modern shock absorber development, the fatigue durability of shim-based clamped valve systems remains a critical factor influencing both performance and operational safety.
Piotr Czop, Grzegorz Wszołek
doaj   +1 more source

Evaluating Link Lifetime Prediction to Support Computational Offloading Decision in VANETs. [PDF]

Sensors (Basel), 2022
Rocha P, Souza A, Maia G, Mattos C, Silva FA, Rego P, Nguyen TA, Lee JW.   +7 more
europepmc   +1 more source

THE CUSTOMER LIFETIME VALUE CONCEPT AND ITS CONTRIBUTION TO CORPORATE VALUATION [PDF]

The shareholder value and the customer lifetime value approach are conceptually and methodically analogous. Both concepts calculate the value of a particular decision unit by discounting the forecasted net cash flows by the risk-adjusted cost of capital.
Matthias Braehler, Hans H.Bauer, Maik Hammerschmidt   +2 more
core  

Bayesian hierarchical modelling for battery lifetime early prediction

, 2022
Accurate prediction of battery health is essential for real-world system management and lab-based experiment design. However, building a life-prediction model from different cycling conditions is still a challenge. Large lifetime variability results from
Howey, David A., Zhou, Zihao
core