Results 241 to 250 of about 1,562,860 (297)
Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna +5 more
wiley +1 more source
Self-harm in children involved in private and public family justice court proceedings: longitudinal national data linkage study. [PDF]
John A +5 more
europepmc +1 more source
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko +4 more
wiley +1 more source
The refinement of drug safety governance based on contradiction matrix. [PDF]
Yao Y, Yang F, Zhang W.
europepmc +1 more source
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source
ERISA and the Failure of Employers to Perform Their Fiduciary Duties: Evidence from a Survey of Health Plan Administrators. [PDF]
Richman B +3 more
europepmc +1 more source
Corporate influence on food and nutrition policies in Latin America and the Caribbean: key determinants and policy directions. [PDF]
Villalobos-Pérez A +3 more
europepmc +1 more source

