Results 161 to 170 of about 3,669,023 (333)

Overcoming the Trade‐Off Between Magnetic Coupling and Electrical Insulation in Soft Magnetic Materials via Nanochain Engineering

open access: yesAdvanced Science, EarlyView.
This study employs a nanochain engineering approach combined with an in situ oxidation strategy to fabricate self‐insulating iron‐based magnetic nanochains, addressing the challenge of balancing magnetic coupling and electrical insulation in soft magnetic materials.
Dingrong Zuo   +8 more
wiley   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

open access: yesAdvanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu   +13 more
wiley   +1 more source

Quantitative Stain Mapping in X‐Ray Virtual Histology

open access: yesAdvanced Science, EarlyView.
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John   +16 more
wiley   +1 more source

An Analysis of Infiltration in Furrow Irrigation Channels With Root Water Uptake

open access: yesJournal of Applied Mathematics
This study discusses infiltration in six irrigation channel types with root water uptake in four types of roots. The mathematical model for the infiltration problem is the Richards equation.
Suma Inna   +3 more
doaj   +1 more source

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

open access: yesAdvanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang   +11 more
wiley   +1 more source

Influence of Hydrogen‐Incorporation on the Bulk Electronic Structure and Chemical Bonding in Palladium

open access: yesAdvanced Science, EarlyView.
Hydrogen incorporation in palladium is directly probed using in situ ambient‐pressure hard X‐ray photoelectron spectroscopy under realistic, application‐relevant conditions. Correlated structural, spectroscopic, and theoretical analysis reveals how hydrogen loading modifies structure, electronic structure, and metal‐hydrogen bonding, resolving long ...
Lars J. Bannenberg   +8 more
wiley   +1 more source

Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications

open access: yesAdvanced Science, EarlyView.
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo   +3 more
wiley   +1 more source

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