Results 131 to 140 of about 7,616 (250)

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee, Donghyeon Lee, Seoyoon Lee, Jin‐Wook Lee, Mansoo Choi, Min‐cheol Kim, Namyoung Ahn   +6 more
wiley   +1 more source

Machine learning-based prediction of soiling losses in photovoltaic modules under different cleaning frequencies: an experimental investigation. [PDF]

Sci Rep
Shukla A, Pachauri RK, Walia R, Gupta V.
europepmc   +1 more source

High‐Performance Noble‐Metal‐Free Perovskite Solar Cells Enabled by MoOX/Cr/Al Multilayer Electrodes

Advanced Energy Materials, EarlyView.
Cost‐effective perovskite solar cells (PSCs) are developed using a noble‐metal‐free MoOX/Cr/Al multilayer electrode. The devices achieve a power conversion efficiency (PCE) of 25.6%, competitive with that of Au‐based devices (26.3%), and a 25.5 cm2 mini‐module shows 21.3% PCE.
Wooyeon Kim, Soyeon Kim, In Choi, Seoyeong Lee, Subin Yu, Young Yun Kim, Bonkee Koo, Min Jae Ko   +7 more
wiley   +1 more source

Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules. [PDF]

Sci Rep
Awedat K, Alajmi M, Elfituri M.
europepmc   +1 more source

Peeling of Flexible Laminates-Determination of Interlayer Adhesion of Backsheet Laminates Used for Photovoltaic Modules. [PDF]

Materials (Basel), 2022
Oreski G, Pinter G.
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

Spatial-Temporal Hotspot Management of Photovoltaic Modules Based on Fiber Bragg Grating Sensor Arrays. [PDF]

Sensors (Basel)
Ding H, Guo R, Xing H, Chen Y, He J, Luo J, Chen M, Chen Y, Tang S, Xu F.   +9 more
europepmc   +1 more source

Electrical data of 10W, 40W, 80W, and 250W photovoltaic modules under the aging condition: Tested by a Solar Manufacturer Company in Bangladesh. [PDF]

Data Brief, 2023
Mansur AA, Amin MR, Islam MI, Shihavuddin A.   +3 more
europepmc   +1 more source

Efficient Flexible Monolithic Perovskite/CIGS Tandem Solar Cell by Using Two‐Step Hybrid Deposition Approach

Advanced Energy Materials, EarlyView.
Novel low‐temperature two‐step hybrid (co‐evaporation/solution) processing suppresses Zn‐induced perovskite degradation in monolithic perovskite/CIGS tandems. Lewis‐base additive engineering restores high crystallinity under the reduced‐temperature constraint.
Muhammad Rehan, Inyoung Jeong, Awet Mana Amare, Hung Van Tran, Inchan Hwang, Junseop Byeon, SeJin Ahn, Sungjun Hong, Ahreum Lee, Ara Cho, Jun‐Sik Cho, Seung Kyu Ahn, Soomin Song, Hyun‐wook Park, Jihye Gwak, Jae Ho Yun, Kihwan Kim, Donghyeop Shin   +17 more
wiley   +1 more source

Radiation-shielding glass with tailored Al-doped zinc oxide (AZO) coatings for durable space photovoltaic modules. [PDF]

RSC Adv
Kim D, Park Y, Shin HB, Kang HK, Kwon DY, Han JI, Park N, Lee Y.   +7 more
europepmc   +1 more source