Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Engineering Framework for Intelligent Vision Inspection Systems (EF-IVIS): A Systems Engineering Methodology. [PDF]
Rysiński J, Jancarczyk D.
europepmc +1 more source
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang +6 more
wiley +1 more source
Beyond generic principles: a framework for the ethical analysis of artificial intelligence in organ transplantation. [PDF]
Primc N.
europepmc +1 more source
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song +5 more
wiley +1 more source
The Midwives' Data Hub as Workforce Policy Intelligence for Staffing, Well-Being and Equity. [PDF]
Kubota K, Shimpuku Y.
europepmc +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Strategic decoupling between grant and publication language in AI and cancer research: a cross-national LLM-assisted analysis. [PDF]
Wang X, Sun Y.
europepmc +1 more source
Logics for artificial intelligence
openaire +1 more source
Time Resolved DNA Barcodes for Information Encoding and Dynamic Encryption
This study establishes a molecular information platform based on DNA Temporal Barcodes. Information is encoded through combinations of DNA tags with distinct retention times, while dynamic encryption is achieved through a key‐triggered DNA ligation.
Likang Chu +7 more
wiley +1 more source

