Results 231 to 240 of about 60,311 (308)

Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios

open access: yesJournal of Polymer Science, EarlyView.
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte   +1 more
wiley   +1 more source

Machine Learning for Thermodynamic States of Notional Nonideal Energetic Mixtures

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
. ABSTRACT Currently, modeling the thermodynamic states in the reaction zone of a detonating energetic mixture entails iteratively solving a set of coupled differential equations that require detailed material property information or models whose empirical parameters must be physically measured.
Sangeeth Balakrishnan   +7 more
wiley   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

open access: yesPrecision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source

Assessing the ability of a stretched‐grid deep‐learning weather prediction model to capture physical balances

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Regional deep learning weather prediction (DLWP) models, such as Bris, offer high resolution forecasts comparable with traditional numerical weather prediction (NWP) models. We evaluated Bris against the operational MetCoOp Ensemble Prediction System (MEPS) during extratropical cyclone Poly (July 5, 2023).
Francesco Pasquini   +4 more
wiley   +1 more source

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan   +3 more
wiley   +1 more source

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