Results 241 to 250 of about 1,475,369 (378)

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Ambient Ionization Mass Spectrometry

, 2014
Marek A. Domin, Robert B. Cody
semanticscholar   +1 more source

Simulation-Based Design of a Silicon SPAD with Dead-Space-Aware Avalanche Region for Picosecond-Resolved Detection. [PDF]

Sensors (Basel)
Youh MJ, Chen HL, Pu NW, Liu ML, Chou YP, Li WK, Chou YP.   +6 more
europepmc   +1 more source

Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction

Advanced Functional Materials, EarlyView.
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi, Shashi B. Mishra, Olivier Henrotte, Emiliano Cortes   +3 more
wiley   +1 more source

Plasma-enhanced electronic textiles for energy harvesting. [PDF]

Sci Adv
Lin S, Cui Z, Li H, Wang K, Li K, Zhang Q, Li Y, Du C, Hou C, Wang H.   +9 more
europepmc   +1 more source

Ionization of Potassium Vapor by Ordinary Light [PDF]

, 1917
J. A. Gilbreath.
openalex   +1 more source

Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4

Advanced Functional Materials, EarlyView.
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen, Hung Wei Shiu, Yu‐Xun Chen, Erdembayalag Batsaikhan, Yu‐Ling Lai, Su Ling Cheng, Tohru Araki, Jyh‐Fu Lee, Michitoshi Hayashi, Yao‐Jane Hsu   +9 more
wiley   +1 more source

Methods for Untargeted Analysis of Milk Metabolites: Influence of Extraction Method and Optimization of Separation. [PDF]

Metabolites
Wilkie D, White B, Heidari G, Naffa R, Peddie G, Rowlands GJ, Plieger PG.   +6 more
europepmc   +1 more source

XXI. On the probability of ionization and radiation of gas molecules due to collision with electrons [PDF]

, 1915
K.F. Nesturch
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source