Results 141 to 150 of about 24,816 (277)
ZnO Nanowires by Chemical Bath Deposition: A Review on Doping and Functional Devices
This review reports the most recent and well‐established state‐of‐the‐art and scientific challenges related to the doping of ZnO nanowires by chemical bath deposition, encompassing native point and hydrogen‐related defects, as well as extrinsic dopants.
Clément Lausecker +3 more
wiley +1 more source
Abstract Accurate quantification of greenhouse gas (GHG) fluxes from aquatic systems is essential for constraining regional and global carbon budgets. Closed floating chambers are widely used to measure carbon dioxide (CO2) and methane (CH4) fluxes at the water–air interface, yet large uncertainties persist due to subjective processing of chamber time ...
Camille Minaudo +16 more
wiley +1 more source
Electrical and optical properties of iron in GaN, AlN, and InN [PDF]
Alkauskas, Audrius +4 more
core +1 more source
Te@Se core–shell heterojunction quantum dots (QDs) are synthesized by a two‐step strategy via combining liquid‐phase exfoliation and epitaxial growth. As active materials in photoelectrochemical photodetectors, Te@Se QDs exhibit excellent photo‐response performance in low‐concentration electrolytes and deionized water.
Yiming Zhao +8 more
wiley +1 more source
Microbial Metabolic Pathways for Synergistic Biomethane Augmentation and CO<sub>2</sub> Sequestration in Coalbed Systems: A Mini-Review. [PDF]
Li Y, Shuai L, Zhang Q.
europepmc +1 more source
Role of point defects in the electrical and optical properties of In2O3 [PDF]
Chatratin, Intuon +6 more
core +1 more source
Quantifying Protein–Glycan Interactions Using Native Mass Spectrometry
ABSTRACT Interactions between glycan‐binding proteins (GBPs) and carbohydrates (glycans) are essential to many biological processes relevant to human health and disease. For most GBPs, however, their glycan interactome—the repertoire of glycans recognized and their specificities—is poorly defined.
Duong T. Bui +4 more
wiley +1 more source
Geochemical Characteristics of Coalbed Methane and Its Multifactor Control in High-Rank Coal Reservoirs, Southern Qinshui Basin, China. [PDF]
Wu F +9 more
europepmc +1 more source
A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao +6 more
wiley +1 more source

