Results 241 to 250 of about 222,136 (307)

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

A Ceramic Network for Hybrid Solid Electrolyte Lithium Metal Batteries

open access: yesAdvanced Science, EarlyView.
An in‐plane aligned Ta‐LLZO ceramic network exhibits superior performance compared to conventional fillers, including single ceramic fibers and particles. The tortuosity within the polymeric phase of hybrid solid electrolytes is identified as a key parameter governing lithium‐ion transport pathways and dendrite suppression.
Luca Weckelmann   +10 more
wiley   +1 more source

Efficient Concentration and Complete Destruction of Short‐Chain and Emerging PFAS in Contaminated Water via Integrated Interface Engineering‐Enhanced Carbon Felt Sorption and Photochemical Processes

open access: yesAdvanced Science, EarlyView.
A closed‐loop “Concentrate‐Destroy” strategy is presented for completely eliminating short‐chain and emerging PFAS, in which the new 3D PPy@P‐CF is used for efficiently concentrating PFAS and Cu2+‐mediated photodegradation is applied for the completely destroying PFAS in the sorbent regeneration eluent.
Hao Yu   +5 more
wiley   +1 more source

Chemically Programmable Underwater Sound‐Absorbing Metamaterial via MXene Self‐Assembly

open access: yesAdvanced Science, EarlyView.
MXene self‐assembly creates a chemically programmable underwater metamaterial with quasi‐periodic layers and a chemical‐physical multi‐level constraint system. A crosslinker as a ‘chemical scissor’ precisely edits microscopic interactions, exciting deep‐subwavelength strong local resonances that induce near‐zero/negative effective bulk modulus (Keff ...
Ziwen Gan   +5 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

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