Results 121 to 130 of about 75,210 (257)
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Selecting for Learning Potential: Is Implicit Learning the New Cognitive Ability? [PDF]
Montuori LM, Montefiori L.
europepmc +1 more source
Why Didn't I Get a Payout? Understanding Farmer Choices, Index Insurance, and Basis Risk
ABSTRACT Index insurance, while heralded as a potential solution to alleviate poverty and food insecurity among agricultural households, has its own set of challenges, notably basis risk. Basis risk is the discrepancy between the insurance payout and losses incurred, posing a significant deterrent to the adoption of index insurance.
S. Lucille Blakeley +4 more
wiley +1 more source
Implicit assumptions about implicit learning [PDF]
Holyoak, Keith J. +1 more
openaire +1 more source
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
wiley +1 more source
Selective engram coreactivation in idling brain inspires implicit learning. [PDF]
Aly MH +4 more
europepmc +1 more source
ABSTRACT Drought is among the most severe and persistent threats to food supply chains, and relocating production to less drought‐prone regions offers a strategy to reduce this risk. This is particularly relevant for fresh vegetables, which are highly water‐intensive, yet drought‐driven reconfiguration strategies remain understudied.
Bingyan Dai +2 more
wiley +1 more source
Implicit Learning of True and False Belief Sequences. [PDF]
Ma Q +6 more
europepmc +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Visual Implicit Learning Abilities in Infants at Familial Risk for Language and Learning Impairments. [PDF]
Bettoni R +5 more
europepmc +1 more source

