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
A multi-layer AI decision support system for startup success prediction and risk assessment using knowledge graphs and federated learning. [PDF]
Pan C, Pan X, Sun L.
europepmc +1 more source
PDGFA/PDGFRα signaling recruits CAFs to OSCC nests, and CAF‐OSCC contact drives tumor budding invasion. Mechanistically, heterotypic adhesion via E‐cadherin/integrin α2β1 activates YAP signaling in OSCC cells, inducing EMT. Concurrently, CAFs transfer mitochondria through TNTs, supplying ATP to fuel invasion.
Yufang Liu +17 more
wiley +1 more source
Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes. [PDF]
Chappell E +11 more
europepmc +1 more source
A comprehensive framework for legal dispute analysis integrating prompt engineering and multi-dimensional knowledge graphs. [PDF]
Zhang M +5 more
europepmc +1 more source
Fine-tuned large language models with structured prompts enable efficient construction of lung cancer knowledge graphs. [PDF]
Zhou C +5 more
europepmc +1 more source
Prevalence and psychosocial interventions of mental disorders following traumatic spinal cord injury: a systematic review and meta-analysis based on knowledge graphs. [PDF]
Wang S +14 more
europepmc +1 more source
SPHN Connector - a scalable pipeline for generating validated knowledge graphs from federated and semantically enriched health data. [PDF]
Touré V +7 more
europepmc +1 more source
Semantic decentralized authentication for IoT-based e-learning using Hedera Hashgraph and Knowledge Graphs. [PDF]
Luo L, Zhang Y, Tang Q.
europepmc +1 more source

