Results 171 to 180 of about 201,886 (307)

Machine Learning–Guided Surface Strain Engineering in Connected Platinum–Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance

open access: yesAdvanced Science, EarlyView.
Machine learning‐guided strain engineering enables highly active, durable, support‐free Pt–Ni nanonetwork catalysts for the oxygen reduction reaction. Analysis of a Pt‐based catalyst dataset identifies surface compressive strain as an effective descriptor associated with enhanced activity and provided practical design guidelines.
Aparna Chitra Sudheer   +4 more
wiley   +1 more source

In Situ Profiling of Nanoscale Strains Uncovers Mechano‐Architectural Predictors of Aging and Osteoarthritis Emergence

open access: yesAdvanced Science, EarlyView.
In situ mechanical loading of osteoarthritis‐prone murine knee joints reveals that spatial alterations in subchondral plate microarchitecture precede cartilage loss and promote a shift from coordinated epiphyseal strain dissipation in healthy joints to focal subchondral strain concentration in osteoarthritis‐prone joints.
Aikta Sharma   +10 more
wiley   +1 more source

Unveiling Mechanisms of SEI Formation and Sodium Loss in Sodium Batteries via Interface Reactor Sampling

open access: yesAdvanced Science, EarlyView.
An “Interface Reactor” strategy boosts simulation stability by 2–3 orders of magnitude, enabling stable 100 ns molecular dynamics of electrode‐electrolyte interfaces. Distinct SEI formation mechanisms are revealed: mixed co‐formation in carbonates versus surface‐energy‐controlled NaF crystallization in ethers. Metadynamics simulations further elucidate
Zhoulin Liu   +6 more
wiley   +1 more source

Radiofrequency bandwidth effects in direct saturation dynamic glucose enhanced MRI at 3T. [PDF]

open access: yesFront Neurosci
Lehmann PM   +7 more
europepmc   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

open access: yesAdvanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

open access: yesAdvanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang   +4 more
wiley   +1 more source

Revealing the Nanoscale Morphology Changes of Polymer Electrolyte Membrane Fuel Cell Catalyst Layers due to Conditioning

open access: yesAdvanced Science, EarlyView.
We apply ex situ and in situ scanning transmission X‐ray microscopy to reveal the structural degradation of polymer electrolyte membrane fuel cell catalyst layers due to conditioning and thermal heating of the catalyst coated membrane. We observe a redistribution of the ionomer and carbon‐black in the catalyst layer, as well as nanoscale membrane ...
Spencer Lytle   +4 more
wiley   +1 more source

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