Results 231 to 240 of about 2,911,859 (300)

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Implementing timeliness metrics for household contact tracing and TB preventive treatment through TB champions in the public sector, India: an explanatory mixed-methods study. [PDF]

open access: yesBMJ Open
Nair D   +14 more
europepmc   +1 more source

Implementing a Mixed Health Service Model as an Informed Modality to Enhance Prevention and Promote Workplace Health in the Greek Regional Public Sector: A Pilot Study in Crete. [PDF]

open access: yesHealthcare (Basel)
Frantzeskakis N   +10 more
europepmc   +1 more source

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