Results 131 to 140 of about 10,244 (239)

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

Power and Narratives in the Era of Behavioral Government

open access: yesInstitutiones Administrationis
Behavioral government employs tools like nudges to steer behavior toward certain practices, raising ethical concerns if the underlying narratives are not transparent or inclusive. In this context, it has been debated whether these types of policies are a
Manuel C. Ortiz de Landázuri   +1 more
doaj   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

open access: yesAdvanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa   +6 more
wiley   +1 more source

Incorporation of Extrinsic Alkali Cations Modulates Ion Migration and Hysteresis in Lateral MAPbBr3 Devices

open access: yesAdvanced Electronic Materials, EarlyView.
Extrinsic alkali cations regulate field‐driven ion migration and hysteresis in lateral MAPbBr3 devices. Combined electrical measurements and DFT calculations reveal distinct ion‐dependent transport behaviors, with Li+ producing the strongest modulation due to its lower migration barrier.
Hongxin Yuan   +10 more
wiley   +1 more source

Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning

open access: yesAdvanced Electronic Materials, EarlyView.
Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang   +6 more
wiley   +1 more source

Les nudges et le contrôle sémiotique du milieu et du collectif

open access: yesActes Sémiotiques, 2021
Jacques Fontanille, Julie LAIRESSE
doaj   +1 more source

Digital Nudging [PDF]

open access: yesSSRN Electronic Journal, 2015
Markus Weinmann   +2 more
openaire   +2 more sources

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku   +5 more
wiley   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song   +9 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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