Search Results - Augmenting Physics-based Models in ICME with Machine Learning and Uncertainty Quantification*

Towards the application of machine learning in digital twin technology: a multi-scale review.

Authors: Nele, Luigi Mattera, Giulio Yap, Emily W. et al.

Source: Discover Applied Sciences; Oct2024, Vol. 6 Issue 10, p1-23, 23p

Atomistic-Based Fatigue Property Normalization Through Maximum A Posteriori Optimization in Additive Manufacturing.

Authors: Awd, Mustafa Saeed, Lobna Walther, Frank

Source: Materials (1996-1944); Jul2025, Vol. 18 Issue 14, p3332, 31p

Subject Terms: MICROSTRUCTURE, FATIGUE limit, SOLID freeform fabrication, BAYESIAN field theory, SELECTIVE laser sintering, MANUFACTURING defects, ALUMINUM-silicon alloys, TITANIUM alloys

Self-supervised Scalable Deep Compressed Sensing.

Authors: Chen, Bin Zhang, Xuanyu Liu, Shuai et al.

Source: International Journal of Computer Vision; Feb2025, Vol. 133 Issue 2, p688-723, 36p

Subject Terms: ARTIFICIAL neural networks, OPTIMIZATION algorithms, COMPRESSED sensing, ARTIFICIAL intelligence, INVERSE problems, DEEP learning, SUPERVISED learning

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework.

Authors: Cashaback, Joshua G. A. Allen, Jessica L. Chou, Amber Hsiao-Yang et al.

Source: Journal of NeuroEngineering & Rehabilitation (JNER); 3/7/2024, Vol. 21 Issue 1, p1-24, 24p

Subject Terms: NEUROREHABILITATION, NEUROLOGICAL disorders, PATIENT participation, MODEL validation, DIGITAL twin

Company/Entity: NATIONAL Science Foundation (U.S.)

Reviews & Products: INTERNATIONAL Classification of Functioning, Disability & Health

Fundamentals of Uncertainty Quantification for Engineers : Methods and Models

Authors: Yan Wang Anh.V. Tran David L. Mcdowell

Resource Type: eBook.

Subjects: Engineering mathematics, Measurement uncertainty (Statistics), Engineering--Mathematical models

Categories: TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / General

Bayesian optimization with active learning of design constraints using an entropy-based approach.

Authors: Khatamsaz, Danial Vela, Brent Singh, Prashant et al.

Source: NPJ Computational Materials; 4/1/2023, Vol. 9 Issue 1, p1-14, 14p

Subject Terms: GAS turbine blades, THERMAL expansion, THERMAL conductivity, HIGH temperatures

A Methodology for the Rapid Qualification of Additively Manufactured Materials Based on Pore Defect Structures.

Authors: Stopka, Krzysztof S. Desrosiers, Andrew Andreaco, Amber et al.

Source: Integrating Materials & Manufacturing Innovation; Mar2024, Vol. 13 Issue 1, p335-359, 25p

Physics-Informed Data-Driven Surrogate Modeling for Full-Field 3D Microstructure and Micromechanical Field Evolution of Polycrystalline Materials.

Authors: Pokharel, Reeju Pandey, Anup Scheinker, Alexander

Source: JOM: The Journal of The Minerals, Metals & Materials Society (TMS); Nov2021, Vol. 73 Issue 11, p3371-3382, 12p

Subject Terms: MATERIAL plasticity, STRAIN tensors, MICROSTRUCTURE, CRYSTAL orientation, COMPUTER simulation, PHONONIC crystals, CRYSTAL lattices

Uncertainty Quantification in Multiscale Materials Modeling

Authors: Yan Wang David L. McDowell

Resource Type: eBook.

Categories: TECHNOLOGY & ENGINEERING / Materials Science / General, TECHNOLOGY & ENGINEERING / Chemical & Biochemical

Geophysical Research Abstracts.

Source: Geophysical Research Abstracts; 2017, Vol. 19, p1-6903, 6903p

Deep Learning - Recent Findings and Research

Authors: Manuel Jesus Domínguez-Morales Javier Civit-Masot Luis Muñoz-Saavedra et al.

Resource Type: eBook.

Subjects: Deep learning (Machine learning)

Categories: COMPUTERS / Machine Theory

EGU General Assembly 2016.

Source: Geophysical Research Abstracts; 2016, Vol. 18, p1-16028, 16028p

Data fusion methods for materials awareness.

Authors: Kadar, Ivan Blasch, Erik P. Grewe, Lynne L. et al.

Source: Proceedings of SPIE; 4/30/2020, Vol. 11423, p114230K-114230K-12, 1p

EGU General Assembly 2014.

Source: Geophysical Research Abstracts; 2014, Vol. 16, p1-15054, 15054p

Machine Learning and Knowledge Discovery in Databases. Research Track

Authors: Rita P. Ribeiro Bernhard Pfahringer Nathalie Japkowicz et al.

Resource Type: eBook.

Categories: COMPUTERS / Data Science / Machine Learning

EGU General Assembly 2011.

Source: Geophysical Research Abstracts; 2011, Vol. 13, p1-13047, 13047p

Geophysical Research Abstracts.

Source: Geophysical Research Abstracts; 2010, Vol. 12, p1-14649, 14649p

Integrated Computational Materials Engineering (ICME) : Advancing Computational and Experimental Methods

Authors: Somnath Ghosh Christopher Woodward Craig Przybyla

Resource Type: eBook.

Subjects: Materials—Analysis, Ceramic materials, Engineering mathematics, Engineering—Data processing, Materials, System theory

Categories: TECHNOLOGY & ENGINEERING / Materials Science / General, MATHEMATICS / Applied, SCIENCE / System Theory, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Materials Science / Ceramics

Computational Science – ICCS 2020

Authors: Valeria V. Krzhizhanovskaya Gábor Závodszky Michael H. Lees et al.

Resource Type: eBook.

Subjects: Computer science, Artificial intelligence, Database management, Computer engineering, Computer networks, Computer science—Mathematics

Categories: COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Hardware / General, MATHEMATICS / Applied

Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers

Authors: Oscar Camara Esther Puyol-Antón Chen Qin et al.

Resource Type: eBook.

Subjects: Computer vision, Computer science—Mathematics, Mathematical statistics, Machine learning, Computer engineering, Computer networks, Social sciences—Data processing

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Science, COMPUTERS / Hardware / General, MATHEMATICS / Probability & Statistics / General