Results 211 to 220 of about 7,383,853 (302)

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

open access: yesAdvanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

open access: yesAdvanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo   +3 more
wiley   +1 more source

Quantitation of Stromal Distortion Across the Full Depth of Keratoconic Corneas. [PDF]

open access: yesInvest Ophthalmol Vis Sci
Nyembo Kasongo P   +7 more
europepmc   +1 more source

Sea Cucumber‐Inspired Double‐Network Biopolymer Hydrogels for Programmable Soft Machines

open access: yesAdvanced Science, EarlyView.
Inspired by the mutable dermis of sea cucumbers, the collagen‐alginate double‐network elastomeric (CoDE) hydrogel achieves programmable, recoverable, and functional mechanical behavior. The CoDE hydrogel mimics the mutable stiffness of the sea cucumber dermis through a densified collagen cryogel scaffold that is secondarily reinforced by a dissipative,
Luo Yan   +3 more
wiley   +1 more source

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