Results 201 to 210 of about 39,395 (275)

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

Alkyne‐Based Dual‐Function Self‐Assembled Monolayers for Efficient and Stable p‐i‐n Perovskite Solar Cells

Angewandte Chemie, EarlyView.
A novel molecular design strategy is employed to modify the D–A type SAM using an alkyne linker. Incorporation of the alkyne linker enhanced π‐electron delocalization, facilitating more efficient hole transfer, and strengthened interfacial bonding, thereby improving device stability. As a result, the perovskite solar cells achieved an impressive PCE of
Ziyang Xia, Haoxin Wang, Seongmin Han, Bin Cai, Cheng Chen, Yaosen Wang, Shutong Duan, Ming Cheng, Sang Il Seok   +8 more
wiley   +2 more sources

Enhancing Perovskite Solar Cell Performance through Propylamine Hydroiodide Passivation. [PDF]

Nanomaterials (Basel)
Sun F, Zhu T, Zhang C, Dong Y, Guo Y, Li D, You F, Liang C.   +7 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

Delayed Halide‐Rich Molecular Passivation of CsPbCl3 Perovskite Nanocrystals Enables Bright Violet Light‐Emitting Diodes

Angewandte Chemie, EarlyView.
POCl3 enables delayed dual passivation in CsPbCl3 nanocrystals by slowly releasing Cl‐containing and phosphonic species that heal halide vacancies and Pb‐related defects over time. This self‐healing boosts PLQY by >40‐fold, preserves efficient violet emission for over 2 months in air, and yields a record 409 cd m−2 luminance for CsPbCl3 violet LEDs ...
Nadesh Fiuza‐Maneiro, Junzhi Ye, Woo Hyeon Jeong, Rui Xu, Qingyu Wang, Dong Yoon Chung, Robert A. Taylor, Iago López‐Fernández, Bofeng Xue, Akshay Rao, Bo Ram Lee, Yunwei Zhang, Robert L. Z. Hoye, Sergio Gómez‐Graña, Lakshminarayana Polavarapu   +14 more
wiley   +2 more sources

Innovative Approaches to Large-Area Perovskite Solar Cell Fabrication Using Slit Coating. [PDF]

Molecules
Wang Y, Cheng Z, Li J, Lv K, Li Z, Zhao H.   +5 more
europepmc   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

Advanced Energy and Sustainability Research, EarlyView.
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa, Silvia Bobba, Cynthia E. L. Latunussa, Enrica Leccisi   +3 more
wiley   +1 more source

Solar‐Driven Ammonia Synthesis From Nitrate Reduction Paired With CO2 Capture for Sustainable Agriculture via a Robust CuPd Heterojunction

Angewandte Chemie, EarlyView.
Laser‐assisted synthesis of CuPd amorphous/crystalline heterojunction demonstrates >80% Faradaic efficiency for nitrate‐to‐ammonia electroreduction across wide potential windows. The integrated solar‐powered electrolyzer achieves 6% solar‐to‐ammonia energy efficiency at 0.4 sun, 6–20 mg h−1 CO2 capture rate, and stability exceeding 100 h.
Weihua Guo, Xiaofeng Huang, Yangbo Ma, Yun Song, Zihao Li, Qiang Zhang, Yinger Xin, Jianjun Su, Mingming He, Ruixuan Wang, Rui Xue, Xing Li, Shibo Xi, Jian Wang, Shenlong Zhao, Siwei Zhang, Ben Zhong Tang, Alex K. Y. Jen, Ruquan Ye   +18 more
wiley   +2 more sources

Design Optimization of Cesium Contents for Mixed Cation MA_1-xCs_xPbI₃-Based Efficient Perovskite Solar Cell. [PDF]

Nanomaterials (Basel)
Moiz SA, Alahmadi ANM, Alshaikh MS.
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