Results 201 to 210 of about 96,720 (286)

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Alpha-band fronto-limbic hyperconnectivity in adolescents with major depression and suicidal ideation. [PDF]

BMC Psychiatry
Zhang M, Lan X, Li W, Luo Z, Liu G, Wu Z, Yao Y, Wu A, Zhou Y.   +8 more
europepmc   +1 more source

Graph-Based Machine Learning Framework for Power Electronic Converter Circuit Analysis and Design

Traditional methods for electronic circuit analysis and design face significant challenges in efficiency, computational cost, and scalability, often encountering convergence difficulties.
Khamis, Ahmed Khamis Mohamed Hassan
core  

Programmable 3D Photovoltaics via Mechanically Origami‐Coded Interlocked 3D Kirigami and Nano‐Root Anchored AgNWs–In–Ga Multiphasic Alloy Conductor

Advanced Materials, EarlyView.
Mechanically origami‐coded 3D kirigami photovoltaics convert a single extension–release cycle into deterministic self‐folding, reconfiguring planar solar cells into programmable 3D modules. Distinct coding strategies enable either ultrahigh stretchability (500% system strain) or ultrahigh initial effective areal coverage (225%).
Seok Joon Hwang, Jiwon Ryu, Byungsoo Kang, Injong Oh, Dae‐Hee Cho, YoungHoi Cho, Seung S. Lee, Dong Hoe Kim, Deokjae Choi, Gee Yeong Kim, Heesuk Jung, Taehee Kim, Hyeonggeun Yu, Seungjun Chung, Byoung Koun Min, Phillip Lee   +15 more
wiley   +1 more source

Tracking Performance Limits Using Multi-Timescale Maximal Mean Power Ratios. [PDF]

Eur J Sport Sci
Zignoli A, Giorgi A, Kolodziej F, Martinez-Gonzalez B, Leo P, Laursen PB.   +5 more
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Preoperative Beta and Gamma EEG Spectral Power as Independent Predictors of Acute Postoperative Pain in Spinal Surgery: A Prospective Observational Cohort Study. [PDF]

J Pain Res
Wu H, Zhou M, Liu S, Qi Y, Zhou F, Wang L, Fan C.   +6 more
europepmc   +1 more source

Second‐Harmonic Hyper‐Mie Optical Activity Enables Closed‐Loop Chiral Photochemistry

Advanced Materials, EarlyView.
Nonlinear chiral photochemistry is demonstrated in CdTe/CdO nanohelices, where circularly polarized infrared light both drives and tracks photo‐oxidation via second‐harmonic scattering. This closed‐loop process reveals real‐time structural evolution, including shell fracturing and core exposure, accompanied by a transition from hyper‐Mie to hyper ...
Hoyeon Choi, Kody Whisnant, Ben J. Olohan, E. Petronijevic, G. Dan Pantoș, Nicholas A. Kotov, Ventsislav K. Valev   +6 more
wiley   +1 more source

"Assessing inclusiveness in Team Europe Initiatives: a mixed-methods study of EU-Africa health cooperation". [PDF]

Glob Health Action
Stämmler SL, Viberg N, Bengtsson L.
europepmc   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source