Results 221 to 230 of about 266,248 (303)

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

Agribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó, Eduardo Sánchez‐García, Bartolomé Marco‐Lajara, Luis A. Millán‐Tudela   +3 more
wiley   +1 more source

Design, modeling and cost analysis of 8.79 MW solar photovoltaic power plant at National University of Sciences and Technology (NUST), Islamabad, Pakistan. [PDF]

Sci Rep
Qamar SH, Hanak DP, Ali M, Gomes J, Khan KZ.   +4 more
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Multi-strategy improved runge kutta optimizer and its promise to estimate the model parameters of solar photovoltaic modules. [PDF]

Heliyon
Ekinci S, Rizk-Allah RM, Izci D, Çelik E.   +3 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Hybrid prediction method for solar photovoltaic power generation using normal cloud parrot optimization algorithm integrated with extreme learning machine. [PDF]

Sci Rep
Liu H, Cai C, Li P, Tang C, Zhao M, Zheng X, Li Y, Zhao Y, Liu C.   +8 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Empowering Sustainability: Floating Solar Photovoltaic Systems in Agriculture for Reduced Costs Carbon Emissions and Evaporation. [PDF]

Glob Chall
Gümrükçüoğlu Yiğit M, Akçadağ B.
europepmc   +1 more source

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

Advanced Intelligent Systems, EarlyView.
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari, Yeji Lee, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D. Karnaushenko, John S. McCaskill, Oliver G. Schmidt   +6 more
wiley   +1 more source

Redox‐Mediated Stabilization of the Hole Transport Layer and Buried Interface Toward Stable Perovskite Solar Cells

Angewandte Chemie, EarlyView.
A facile and effective strategy, that is, synergistic regulation of the NiOx/SAM buried interface via cesium oxalate (CsOA) modification, is developed. The CsOA treatment suppresses detrimental Ni4+ formation, promotes uniform SAM assembly, and aligns the energy levels at the hole‐transport layer/perovskite interface, enabling improved film ...
Jiarong Wang, Yiran Yan, Chenyue Wang, Qiang Fu, Leyu Bi, Yuanzhong Liu, Xin Yang, Jia Wang, Zhenye Liang, Lin Yang, Tianjiao Chu, Xiangrong Zhu, Bin Kan, Lina Li, Xingyu Gao, Linfeng Lu, Xiaofei Ji   +16 more
wiley   +2 more sources