Results 171 to 180 of about 806,396 (338)

Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A Study Employing Multifidelity Machine Learning

open access: yesAdvanced Theory and Simulations, EarlyView.
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu   +7 more
wiley   +1 more source

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

open access: yesAdvanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic   +3 more
wiley   +1 more source

A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction. [PDF]

open access: yesGenet Epidemiol, 2015
Marceau R   +7 more
europepmc   +1 more source

Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning

open access: yesAdvanced Science, EarlyView.
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi   +7 more
wiley   +1 more source

Estimating multiplicative and additive hazard functions by kernel methods [PDF]

open access: bronze, 2003
Oliver B. Linton   +2 more
openalex   +1 more source

GDC: Integration of Multi‐Omic and Phenotypic Resources to Unravel the Genetic Pathogenesis of Hearing Loss

open access: yesAdvanced Science, EarlyView.
Overview of the Genetic Deafness Commons (GDC), integrating data from the Chinese Deafness Genetics Consortium (CDGC) and 51 public databases. The GDC provides tools for variant search, functional predictions, and gene‐disease visualization, offering insights into 201 hearing loss genes and facilitating novel gene discovery and clinical applications ...
Hui Cheng   +11 more
wiley   +1 more source

Multidimensional Alternating Kernel Method for cortical layer segmentation in 3D reconstructed histology. [PDF]

open access: yesMethodsX
Kutten KS   +7 more
europepmc   +1 more source

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