Results 151 to 160 of about 41,523 (260)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Current‐Driven Nonreciprocal Response of Nonequilibrium Skyrmions

open access: yesAdvanced Science, EarlyView.
A skyrmion holds great promise for spintronic applications owing to its intrinsic topological stability and high mobility under ultra‐low current excitation. Here, by means of in situ electron microscopy, we demonstrate a skyrmion diode effect and the associated current‐driven nonreciprocal skyrmion dynamics in a designed FeGe‐based microdevice.
Xiuzhen Yu   +10 more
wiley   +1 more source

Pellet Printing for Soft Robotic Devices

open access: yesAdvanced Science, EarlyView.
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu   +6 more
wiley   +1 more source

Strings and topological defects govern ordering kinetics in endothelial cell layers. [PDF]

open access: yesNat Phys
Ruider I   +6 more
europepmc   +1 more source

Cells Dynamically Adapt Their Nuclear Volumes and Proliferation Rates During Single to Multicellular Transitions

open access: yesAdvanced Science, EarlyView.
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan   +13 more
wiley   +1 more source

Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory

open access: yesAdvanced Science, EarlyView.
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park   +8 more
wiley   +1 more source

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