Results 191 to 200 of about 63,696 (324)

TRIP/TWIP Networks Promoted via Multifunctional Nanoprecipitates‐confined Specified Shear for Achieving Strong‐yet‐Ductile Titanium Alloys

open access: yesAdvanced Science, EarlyView.
Comprehensive theoretical calculation methods are employed for composition design to manipulate precipitates with deformation heterogeneity for facilitating TRIP/TWIP effects. Selected alloy exhibits dense TRIP/TWIP networks at > 830 MPa yield stress and record yield strength‐ductility synergy in titanium alloys. The results offer an individual pathway
Xiaofu Zhang   +6 more
wiley   +1 more source

Multi‐Level Optical Physical Unclonable Function Based on Random Surface Scattering for Hierarchical Cryptographic Protocols

open access: yesAdvanced Science, EarlyView.
This study proposed physical unclonable function based multi‐level key space generation scheme. By exploiting speckle characteristic, a size‐controllable structure is achieved and that is suitable foundation for multiple key extraction. The flexible key space supports various specifications for advanced applications, such as hierarchical authentication
Jeong Jin Kim, Min Seong Kim, Gil Ju Lee
wiley   +1 more source

The Schur algorithm and reproducing kernel Hilbert spaces in the ball

open access: bronze, 2002
Daniel Alpay   +2 more
openalex   +1 more source

RPS27L Enhances Myogenesis and Muscle Mass by Targeting IGF1 Through Liquid‐Liquid Phase Separation

open access: yesAdvanced Science, EarlyView.
Muscle‐specific RPS27L knock‐in mice exhibit increased body weight, muscle mass, and enhanced muscle regenerative capacity. RPS27L drives myogenesis by promoting myoblast proliferation, while inhibiting myogenic differentiation. Mechanistically, RPS27L targets IGF1 protein by liquid‐liquid phase separation through its N‐terminal intrinsically ...
Xiaoqin Liu   +17 more
wiley   +1 more source

Highly Efficient Discovery of 3D Mechanical Metamaterials via Monte Carlo Tree Search

open access: yesAdvanced Science, EarlyView.
Machine learning (ML), as a data‐driven method, has revolutionized metamaterial design, surpassing traditional intuition‐driven trial‐and‐error methods in both efficiency and performance. Here, MCTS‐AL, an active learning framework integrating finite element simulation (FEM), convolutional neural networks (CNNs), and Monte Carlo Tree Search (MCTS ...
Jiamu Liu   +4 more
wiley   +1 more source

Mean and variance heterogeneity loci impact kernel compositional traits in maize. [PDF]

open access: yesPlant Genome
Ismail YMA   +5 more
europepmc   +1 more source

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