Results 161 to 170 of about 28,026 (247)
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Relationship between Medication Safety Competence and Perception of Medication Administration Errors among Clinical Nurses: A Cross-sectional Study. [PDF]
Mahmoudzadeh M +3 more
europepmc +1 more source
Concordância de informações de adolescentes e suas mães em inquérito de saúde [PDF]
Helena Fraga-Maia, Vilma Sousa Santana
openalex +1 more source
Narrativas de re(existências) de mães de pessoas transgêneros e suas lutas nos espaços escolares
Sandra Fonseca +1 more
openalex +2 more sources
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Age-related GABA- and glutamatergic differences in SMA during bimanual coordination. [PDF]
Frieske J +7 more
europepmc +1 more source
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Factors associated with not reporting medication administration errors among critical care nurses in Kelantan, Malaysia: a cross-sectional study. [PDF]
Ishak MS, Ibrahim MI.
europepmc +1 more source
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

