Results 221 to 230 of about 1,581,448 (326)

Néel Tensor Torque in Polycrystalline Antiferromagnets

open access: yesAdvanced Materials, EarlyView.
This work introduces a Néel tensor torque based on a rank‐two symmetric tensor capturing spin correlations in a polycrystalline antiferromagnet. It shows the Néel tensor can be shaped and reshaped through the spin‐orbit torque (SOT) technique, enabling field‐free SOT switching with a specific polarity of the adjacent ferromagnet. This discovery opens a
Chao‐Yao Yang   +4 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Development and Validation of the Artificial Intelligence in Mental Health Scale: Application for AI Mental Health Chatbots. [PDF]

open access: yesHealthcare (Basel)
Katsiroumpa A   +7 more
europepmc   +1 more source

Light‐Driven Reconfigurable Logic in a Monolithic Perovskite Device via Nonlinear Photoresponse Switching

open access: yesAdvanced Materials, EarlyView.
This study demonstrates a monolithic perovskite OELG device that performs all eight logic operations, including XOR and XNOR, without external bias. Enabled by trap‐engineered MAPbI3:PLL and dual photogates, it achieves reconfigurable logic and parallel decoding of amplitude–frequency signals, supporting scenario‐configured logic‐level separation for ...
Dante Ahn   +13 more
wiley   +1 more source

Physical Intelligence in Small‐Scale Robots and Machines

open access: yesAdvanced Materials, EarlyView.
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley   +1 more source

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