Results 171 to 180 of about 29,061 (317)

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Solving ill-posed control problems by stabilized finite element methods: an alternative to Tikhonov regularization [PDF]

, 2017
Erik Burman, Peter Hansbo, Mats G. Larson   +2 more
openalex   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors. [PDF]

Sci Rep
Bhat VR, Kotegar K, Anitha H.
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Inverse Problem Regularization for 3D Multi-Species Tumor Growth Models. [PDF]

Int J Numer Method Biomed Eng
Ghafouri A, Biros G.
europepmc   +1 more source

Regularization of Ill-Posed Problems with Non-negative Solutions [PDF]

, 2019
Christian Clason, Barbara Kaltenbacher, Elena Resmerita   +2 more
openalex   +1 more source

On convergence rates of adaptive ensemble Kalman inversion for linear ill-posed problems

, 2021
Fabian Parzer, Otmar Scherzer
openalex   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Data-driven material modeling based on the Constitutive Relation Error. [PDF]

Adv Model Simul Eng Sci
Ladevèze P, Chamoin L.
europepmc   +1 more source