Results 241 to 250 of about 54,891 (314)

Techno-economic-environmental evaluation of a solar-hydrogen-battery hybrid system: a real-time case study. [PDF]

Sci Rep
Saleeb H, Baroma MF, Abdelaziz AY, Kassem R.   +3 more
europepmc   +1 more source

Amorphous π‐Conjugated Passivator Facilitates Widening Process Window for Reliable Perovskite Solar Modules

Advanced Energy Materials, EarlyView.
A wide process window is essential for the commercialization of perovskite photovoltaics. Here, we demonstrate an amorphous π‐conjugated passivator having an asymmetric mono‐iodine substituent on a carbazole moiety imparts a high dipole moment, desirable molecular energy levels, and high thickness tolerance, thereby enabling a wide process window in ...
Hyun Seo Kim, Young Yun Kim, Hyejin Na, You‐Hyun Seo, Sung Jae Na, Seulyi Lee, Mingi Kang, Jinuk Jang, Daehyeok Kim, Yeonkyeong Ju, So‐Min Yoo, Jae Yong Park, Bong Joo Kang, Geun Ho Gu, Tae Joo Shin, Jaemin Lee, Nam Joong Jeon, Eui Hyuk Jung   +17 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Optimizing nuclear-renewable hybrid energy systems for cost efficiency based on energy security concerns in Puerto-Rico. [PDF]

Sci Rep
Appiah R, Aguilar D, Quiñones J, Castillo L.   +3 more
europepmc   +1 more source

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

Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks. [PDF]

Sci Rep
Radwan M, Ibrahim A, Abdelsalam MM, Alhussan AA, Mattar EA, El-Kenawy EM.   +5 more
europepmc   +1 more source

Redefining Crystalline Silicon: Unlocking New Horizons in Transparent and Flexible Photovoltaics

Advanced Energy Materials, EarlyView.
Crystalline silicon is presented as a platform for transparent and flexible photovoltaics. This review article outlines design principles for optical strategies to fabricate transparent silicon solar cells, mechanical strategies that mitigate silicon brittleness, and emerging concepts such as singlet‐fission spectral conversion and tandem architectures,
Kangmin Lee
wiley   +1 more source

Interdecadal seismic periodicity modulated by solar and oceanic variability revealed from Chinese historical documents. [PDF]

Sci Rep
Fang K, Zhao Z, Wu H, He M, Li J, Tang W, Ou T.   +6 more
europepmc   +1 more source

Regulation of Crystallization Kinetics via Zwitterionic Additive for Efficient and Operationally Stable Formamidinium Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
This study introduces a zwitterionic additive, Cl‐PPS, to regulate crystallization kinetics and passivate defects in formamidinium‐based perovskite solar cells. Cl‐PPS promotes direct α‐phase formation, minimizes necessary MACl loading, and induces highly crystalline, vertically oriented grains.
Shuai Li, Bohong Chang, Jianqiu Gong, Xianglang Sun, Francesco Vanin, Chunlei Zhang, Zexin Yu, Ning Wang, Dong Zhang, Baoze Liu, Liangchen Qian, Xinhui Lu, Haipeng Lu, Mingjie Li, Danpeng Gao, Bo Li, Zonglong Zhu   +16 more
wiley   +1 more source

Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges. [PDF]

Sensors (Basel)
Saltos JM, Intriago Cedeño MG, Balderramo Velez NR, León GTR, Cano-Ortega A.   +4 more
europepmc   +1 more source