Results 201 to 210 of about 115,444 (271)

Defect Suppression via Tailoring Functionalized Additives for Efficient and Stable CsPbI3 Perovskite Solar Cells

Carbon Energy, EarlyView.
This study proposed a structure‐designed benzohydrazide derivative, namely 4‐methoxybenzohydrazide (MeOBH), as an additive to regulate crystallization, passivate defects, optimize energy‐level structure, and enhance phase stability of β‐CsPbI3 perovskite films.
Haiyan Zhao, Chunyan Li, Yao Zhang, Zhongxun Yu, Jixiang Zhang, Xiaoan Tang, Zi Ouyang, Haipeng Yin, Yang Sun, Hao Du, Han Chen   +10 more
wiley   +1 more source

Assessment of distinct effects of <i>Parinari curatellifolia</i> Planch.ex Benth Ethanolic leaf extract on glucose transport in different cell types. [PDF]

PeerJ
Omale S, Aguiyi JC, Ede S, Ryalls L, Ye R, Basbaydar B, Gould GW, Bremner-Hart SK.   +7 more
europepmc   +1 more source

Morphologically Uniform Electron Transport Layer Incorporating Conjugated Polymer for Efficient Charge Extraction in Tin Perovskite Solar Cells

Carbon Energy, EarlyView.
A compact and morphologically uniform electron transport layer is created by blending PC61BM with a small amount of P3HT. The optimized architecture enables efficient charge extraction and suppresses interfacial recombination, which enhances power conversion efficiency and strengthens long‐term operational stability in tin‐based perovskite solar cells,
Du Hyeon Ryu, Bong Joo Kang, Nasir Khan, Seungjin Lee, Jun Hyung Kim, Hyun‐Sung Yun, Nam Joong Jeon, Sang Hyuk Im, Chang Eun Song   +8 more
wiley   +1 more source

"Solid-in-Solid" Electrolyte via Scalable Melting Infiltration Method for High-Voltage Solid-State Lithium Metal Batteries. [PDF]

Nano Lett
Ji T, Ge H, Rivera N, Gomes L, Dong R, Struppe J, Guo J, Mukerjee S, Dai H.   +8 more
europepmc   +1 more source

Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing

Carbon Energy, EarlyView.
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu, Kangyan Liu, Biao Zhang, Ziang Chen, Yi Yang, Qiang Sun, Tao Ye, Bed Poudel, Kai Wang, Congcong Wu   +9 more
wiley   +1 more source

PCE-CfD and Long Covid: An NHS Service Evaluation on the Benefits of Using Person-Centred Experiential Counselling for Depression With People With Long Covid. [PDF]

Health Expect
Leavesley MR, Dugen-Williams C, Dobel-Ober D, Carson A.   +3 more
europepmc   +1 more source

Phase‐Pure 2D Interfacial Perovskite Passivation for Stable and Efficient Photovoltaics

Carbon Energy, EarlyView.
Phase‐pure 2D interfacial passivation eliminates mixed‐phase energetic disorder, establishes favorable band alignment, and suppresses interfacial non‐radiative recombination. This review elucidates deterministic phase‐purity control, defect and lattice reconstruction mechanisms, and scalable manufacturing strategies, highlighting how phase‐pure 2D/3D ...
Ming‐Xin Li, Shuo Wang, Chao‐Qun Yan, Xue‐Yuan Gong, Wen‐Li Wang, Yun‐Lang Chen, Rong‐Xuan Li, Jiaju Fu, Ming‐Hua Li, Jin‐Song Hu   +9 more
wiley   +1 more source

Enhanced Photovoltaic Performance of Ternary Small Molecule/Polymer Bulk Heterojunction Solar Cells. [PDF]

Micromachines (Basel)
Nam SA, Lee J, Lim J.
europepmc   +1 more source

SIGNIFICANCE�OF�SURFACE�WATER�CONTAMINATION�WITH�PCE�FOR�FISH�TISSUE�PCE�CONTENT

SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 2012
openaire   +1 more source