Results 271 to 280 of about 112,822 (316)

Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors

Advanced Functional Materials, EarlyView.
2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang, Zhitian Ling, Paul W. M. Blom, Tomasz Marszalek, Wojciech Pisula   +4 more
wiley   +1 more source

Ionic Metal Poly(heptazine Imides) and Single‐Atoms Interplay: Engineered Stability and Performance for Photocatalysis, Photoelectrocatalysis and Organic Synthesis

Advanced Functional Materials, EarlyView.
Poly(heptazine) imides (PHIs), a crystalline carbon nitride subclass, intercalate metals to deliver high stability, tunable electronics, and efficient charge separation. These features enable solar‐driven applications such as hydrogen evolution, CO₂ reduction, and organic synthesis.
Gabriel A. A. Diab, Izadora F. Reis, Chong Wang, Diandra Barreto, Oleksandr Savateev, Ivo F. Teixeira, Pablo Jiménez‐Calvo   +6 more
wiley   +1 more source

Plasma‐Treated Hydrogel for Combined RONS and Chemotherapy Delivery: A Proof‐of‐Concept In Ovo

Advanced Functional Materials, EarlyView.
This study explores plasma‐treated hydrogels (PTH) as a new way to deliver both reactive oxygen and nitrogen species and chemotherapy (Doxorubicin) directly to tumors. In ovo tests show effects after a single dose, especially in osteosarcoma tumors. Tumor weight decrease, and a resistance‐related protein is reduced.
Milica Živanić, Albert Espona‐Noguera, Angela Privat Maldonado, Patrik Matušů, Francesco Tampieri, Maria‐Pau Ginebra, Abraham Lin, Evelien Smits, Annemie Bogaerts, Cristina Canal   +9 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

Single‐Step Conversion of Metal Impurities in CNTs to Electroactive Metallic Nitride Nanoclusters for Electrochemical CO2 Reduction

Advanced Functional Materials, EarlyView.
A single‐step, low‐temperature co‐pyrolysis process removes encapsulated seed metal NPs (10–50 nm) from CNTs, redistributing them as surface‐anchored metal and metal–nitride NCs (1–1.5 nm). Herein, Ni3N NCs achieve an ultra‐low onset overpotential for CO2 reduction to CO with >98% Faradaic efficiency across 100–700 mA cm−2.
Ahmed Badreldin, John Pellessier, Francisco Alejandro Ospina Acevedo, Siyuan Fang, Carter Racine, Jin Feng, Alvin Chang, Yulu Ge, Yang Gang, Shengyao Wang, Xiaokun Yang, Sergei Ivanov, Zhenxing Feng, Yun Hang Hu, Perla B. Balbuena, Ying Li   +15 more
wiley   +1 more source

Accelerated spike-triggered non-negative matrix factorization reveals coordinated ganglion cell subunit mosaics in the primate retina

Zapp SJ, Khani MH, Schreyer HM, Sridhar S, Ramakrishna V, Krüppel S, Mietsch M, Protti DA, Karamanlis D, Gollisch T.   +9 more
europepmc   +1 more source

Robust non-negative matrix factorization [PDF]

Frontiers of Electrical and Electronic Engineering in China, 2011
Non-negative matrix factorization (NMF) is a recently popularized technique for learning parts-based, linear representations of non-negative data. The traditional NMF is optimized under the Gaussian noise or Poisson noise assumption, and hence not suitable if the data are grossly corrupted.
Zhengguang Chen, Lijun Zhang, Xiaofei He, Miao Zheng   +3 more
openaire   +1 more source

Uniqueness of Non-Negative Matrix Factorization [PDF]

2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 2007
In this paper, two new properties of stochastic vectors are introduced and a strong uniqueness theorem on non-negative matrix factorizations (NMF) is introduced. It is described how the theorem can be applied to two of the common application areas of NMF, namely music analysis and probabilistic latent semantic analysis. Additionally, the theorem can be
openaire   +2 more sources