Results 91 to 100 of about 771,116 (333)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
The purpose is to study antibacterial and antimycotic properties of produced granular carbon sorbents. Material and methods. A VNIITU-1 carbon sorbent was used as a starting material, which was modified with polyvinylpyrrolidone and lactic and glycolic ...
V. T. Dolgikh +6 more
doaj +1 more source
Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley +1 more source
Polycyclic aromatic hydrocarbons. A review
The recent literature describing polycyclic aromatic hydrocarbons (PAHs) in air, water, soil and sediment, waste sludge, biomonitoring, toxicity, are reviewed.
Abdulazeez T. Lawal
semanticscholar +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Dynamic of H2NG in Distribution Systems
The reduction in GHG emissions has become one of the most important objectives in Europe. One of these clean technologies in the quest for large-scale decarbonisation is the blending of hydrogen and natural gas (H2NG).
Cristian Nicolae Eparu +6 more
doaj +1 more source
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source
A machine learning framework for classifying inter-turn short-circuit faults in induction motors
Inter-turn short-circuit (ITSC) faults are among the most frequent stator winding faults in induction motors, often leading to irreversible damage. In this context, this work proposes a Machine Learning (ML) based framework for classifying ITSC faults ...
Omar Abdelaziz Bengharbi +5 more
doaj +1 more source
Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim +5 more
wiley +1 more source
Soft and Transient Bioelectronics Enabled by Polymer‐Free Ti3C2Tx MXene Hydrogels
We present Ti3C2Tx MXene hydrogel (MXgel) bioelectronics, a soft, flexible, and fully transient platform for high‐fidelity neural recording and stimulation. MXgel bioelectronics exhibit exceptional electrical conductivities, low electrochemical impedances, and high charge injection capacities.
Raghav Garg +15 more
wiley +1 more source

