Results 51 to 60 of about 30,851 (301)

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Construction and Validation of a Model for Estimating Surface Water Evaporation in Greenhouse Based on Principal Component Analysis

Guan'gai paishui xuebao, 2023
【Objective】 Surface water evaporation (Ep) in greenhouse is often used as a reference in irrigation management. The purpose of this paper is to present a model to estimate it.
WANG Ke, LI Yinkun, ZHENG Wengang, LIU Meiying, WU Jiale, JI Yuru, CHEN Fei, HOU Shenglin   +7 more
doaj   +1 more source

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

Advanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti, Sergio Martínez‐Saiz, Morena Cervino, Edoardo Stanzani, Sandra Jenatsch, Qingsen Zeng, Joo Sung Kim, Dong‐Hyeok Kim, Eojin Yoon, Tae‐Woo Lee, Daniel Tordera, Henk J. Bolink   +11 more
wiley   +1 more source

Performance analysis of advanced deep learning technics: Application to solar energy forecasting and management in several cities in Chad

Solar Energy Advances
Accurate solar radiation prediction is essential as it provides detailed solar resource information to investors and governments, promoting solar energy development. The main objective of this study is to analyze advanced forecasting techniques and apply
Osée Mounkang, Claude Vidal Aloyem Kaze, Nzoko Tayo Dieudonné, Ghislain Junior Bangoup Ntegmi, Duclair Paul Edouard Pountounynyi, Hervice Roméo Fogno Fotso, Armel Zambou Kenfack, Germaine Kenmoe Djuidje, René Tchinda   +8 more
doaj   +1 more source

Brief communication: Solar radiation management not as effective as CO₂ mitigation for Arctic sea ice loss in hitting the 1.5 and 2 °C COP climate targets [PDF]

The Cryosphere, 2018
An assessment of the risks of a seasonally ice-free Arctic at 1.5 and 2.0 °C global warming above pre-industrial levels is undertaken using model simulations with solar radiation management to achieve the desired temperatures.
J. K. Ridley, E. W. Blockley
doaj   +1 more source

Optical control of solar sails using distributed reflectivity [PDF]

, 2014
The dynamics of solar sails with a variable surface reflectivity distribution are investigated. When changing the reflectivity across the sail film, which can be achieved using electro-chromic coatings, the solar radiation pressure forces and torques ...
Jeannette Heiligers, Heiligers, Jeannette, McInnes, Colin, Colin McInnes, Ceriotti, Matteo, Borggräfe, A., Heiligers, J., Ceriotti, M., Andreas Borggräfe, Matteo Ceriotti, Borggräfe, Andreas, McInnes, Colin R., McInnes, C.R.   +12 more
core   +1 more source

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

Very short-term solar radiation forecasting with all-sky images and meteorological data

Tạp chí Khoa học và Công nghệ
The ability to forecast solar radiation accurately on a very short time scale is essential for optimizing the performance and reliability of solar power systems. This work introduces a deep learning approach based solely on Convolutional Neural Networks (
Trinh Trung Hieu, Nguyen Binh Nam, Duong Minh Quan, Nguyen Van Tan, Tran Anh Tuan   +4 more
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

In Situ Regenerative Adduct Assisted p‐Type Doping of Organic Semiconductor

Advanced Materials, EarlyView.
An in situ regenerative adduct‐assisted (IRAA) doping strategy is introduced for p‐type doping of organic semiconductors. A regenerating adduct serves as the dopant, enabling highly efficient doping with a choice of counterions. The generality of this approach provides a scalable route to dope a wide range of hole‐transport materials with high thermal ...
Brijesh K. Patel, Arya Vidhan, Shubham Gupta, Vaishali Arunachalam, Simantini Nayak, Neeraj Bhatt, Ravi Shankar Singh, Shaibal K. Sarkar, Pabitra K. Nayak   +8 more
wiley   +1 more source