Results 171 to 180 of about 4,876,450 (324)

Spontaneous Cyclic Levitation of Glycerol‐Water Droplets at Low Pressures

open access: yesAdvanced Science, EarlyView.
Under low pressure, a minute glycerol addition transforms the chaotic dynamics of freezing water droplets into cyclic levitation. Freeze‐concentration preserves liquid pathways that relax expansion‐induced stress, while freezing point depression weakens asymmetric vaporization recoil.
Chen Xu   +10 more
wiley   +1 more source

When Mechanics Rewrites Chemistry: Divergent Pathways of Hardening and Softening in High Strength Al‐Alloys

open access: yesAdvanced Science, EarlyView.
Mechanics reshapes chemistry: plastic flow actively governs two divergent, atomic‐scale mechanochemical pathways that tailor strain localization and ductility in high‐strength 7xxx Al alloys. Rather than relying on static structures, deformation dynamically reinforces the solution‐treated state via clustering, yet destabilizes the peak‐aged condition ...
Huan Zhao   +9 more
wiley   +1 more source

Functional MXene Inks for Printed Electronics: Chemistry, Rheology, and Devices

open access: yesAdvanced Science, EarlyView.
Functional MXene inks are emerging as building blocks for MXetronics, connecting MXene synthesis, surface functionalization, ink formulation, and advanced printing with device‐level applications. This review maps how composition, stability, rheology, and processability govern printed structures and enable high‐performance sensors, energy‐storage ...
Shahzaib Ali   +6 more
wiley   +1 more source

Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery

open access: yesAdvanced Science, EarlyView.
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong   +8 more
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

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