Results 191 to 200 of about 24,070 (256)

Multiscale Modelling of the Electrocatalysis of Microenzymes: Insights Into the Performance of Microperoxidase at an Aqueous/Graphene Interface and Their Exploitation to Improve Performance

open access: yesAdvanced Science, EarlyView.
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic   +6 more
wiley   +1 more source

Impacts of In Situ Wheat Straw Incorporation Methods on Cadmium Behavior in Soil-Rice Systems. [PDF]

open access: yesFoods
Li L   +16 more
europepmc   +1 more source

Overcoming the Catalytic Bucket Effect in Pt‐based High‐Entropy Nanocages Through Interface Defect and Strain Engineering

open access: yesAdvanced Science, EarlyView.
PtPdNiCuMnAu HENCs exhibit a remarkable half‐wave potential (E1/2) of 0.925 V vs. RHE. The catalyst displays exceptional electrochemical stability, with only a 4 mV negative shift in E1/2 and a mere 5.6% loss in MA after 10, 000 accelerated durability test cycles.
Qian Liu   +5 more
wiley   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

open access: yesAdvanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen   +12 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

A Phosphorylation‐Induced Micellization Switch in the Low‐Complexity Domain of TDP‐43

open access: yesAdvanced Science, EarlyView.
Phosphorylation of TAR DNA‐binding protein's 43 kDa (TDP‐43) low‐complexity domain by casein kinase 1 delta (CK1δ) acts as a molecular switch, redirecting its self‐assembly from macroscopic phase separation toward finite‐sized, spherical block‐copolymer micelles of ∼30 nm.
Rodrigo F. Dillenburg   +16 more
wiley   +1 more source

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