Results 101 to 110 of about 417,382 (265)
A large-scale LC-MS dataset of murine liver proteome from time course of heavy water metabolic labeling. [PDF]
Sci Data, 2023 Deberneh HM +8 more
europepmc +1 more source
ASSESSING THE EFFICIENCY OF CEMENT KILN DUST FOR HEAVY METALS REMOVAL FROM SIMULATED POLLUTED WATER
, 2023 Saif Saad Mansoor +2 more
openalex +2 more sources
Heavy Metal Accumulation in Soil and Water in Pilot Scale Rice Field Treated with Sewage Sludge [PDF]
, 2021 Lam-Van Tan, Thanh Tran
openalex +1 more source
Advanced Functional Materials, EarlyView.Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng +9 more
wiley +1 more source
Heavy water recycling for producing deuterium compounds. [PDF]
RSC Adv, 2022 Akutsu-Suyama K +4 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim +14 more
wiley +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A new electrochemical system based on a microporous hybrid of carbon nanoplatelets and nanotubes to selectively capture Ni2+ from wastewater is constructed. The system temperature rises rapidly when irradiated with sunlight, which enhances the Ni2+ removal rate by 250% and the selectivity by 53%, and the energy consumption is also reduced by 51 ...
Ziquan Wang +11 more
wiley +1 more source