Results 201 to 210 of about 360,521 (299)
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Combustion-Synthesized BaAl<sub>2</sub>O<sub>4</sub>: Eu<sup>2+</sup>, Nd<sup>3+</sup>, Pr<sup>3+</sup> Triple-Co-Doped Long-Afterglow Phosphors: Luminescence and Anti-Counterfeiting Applications. [PDF]
Wang C +9 more
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Interface-driven energy-independent charge extraction in GaN photocatalysts. [PDF]
Gao Y +8 more
europepmc +1 more source
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
Central Asian radiation of modern large-mammal faunas in Miocene. [PDF]
Wang SQ +13 more
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Influence of scan mode, tilt, and radiation dose on CT radiomic metrics. [PDF]
Yadav N +5 more
europepmc +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Deep transfer learning based image colorization using VGG19 and CLAHE. [PDF]
Ghosh N, Mandal G.
europepmc +1 more source

