Results 261 to 270 of about 66,220 (350)

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

open access: yesAdvanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang   +6 more
wiley   +1 more source

Patient-Centered Research Through Artificial Intelligence to Identify Priorities in Cancer Care.

open access: yesJAMA Oncol
Kim J   +10 more
europepmc   +1 more source

Persistent Magnetism and Tunable Doping of Monolayer Graphene via Europium Density Modulation

open access: yesAdvanced Science, EarlyView.
The modulation of europium density at the graphene/rhenium interface enables electron doping of monolayer graphene both beneath and beyond the van Hove singularity. The interfacial europium is ferromagnetic, with a transition from a mixed Eu(II)/Eu(III) valence in the dense phase to a pure Eu(II) state in the diluted phase.
M. Jugovac   +9 more
wiley   +1 more source

Bridging Green Chemistry and Circular Economy: A Pathway to Sustainable Polyester Plastics Through Feedstock, Synthesis, and Waste Upcycling

open access: yesAdvanced Science, EarlyView.
This review summarizes green and low‐carbon strategies throughout the entire life cycle of polyester plastics, including sustainable monomer synthesis, optimization polymerization, efficient recycling, and advanced upcycling technologies. The synergistic implementation of these strategies is expected to significantly promote the development of a ...
Jinzhou Li   +5 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

Click-chemistry-derived oxime library reveals efficient reactivators of nerve agent-inhibited butyrylcholinesterase suitable for pseudo-catalytic bioscavenging. [PDF]

open access: yesArch Toxicol
Čadež T   +8 more
europepmc   +1 more source

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