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1

Imaging-Derived Coronary Fractional Flow Reserve: Advances in Physics-Based, Machine-Learning, and Physics-Informed Methods
Zhu, Tanxin ; Hossen, Emran ; Zhao, Chen ; et al.

Medical Physics Machine Learning

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2

Physiologically Informed Deep Learning: A Multi-Scale Framework for Next-Generation PBPK Modeling
Liu, Shunqi ; Qiu, Han ; Wang, Tong

Machine Learning Artificial Intelligence Quantitative Methods

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3

Predicting Stress-strain Behaviors of Additively Manufactured Materials via Loss-based and Activation-based Physics-informed Machine Learning
Duan, Chenglong ; Wu, Dazhong

Machine Learning

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4

Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
Mohammed, Hamza Haruna ; Marijan, Dusica ; Maressa, Arnbjørn

Machine Learning Artificial Intelligence

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Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning
Carlotti, Pietro ; Gligić, Nevena ; Farahi, Arya

Machine Learning 68T37

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Comparative Evaluation of Deep Learning-Based and WHO-Informed Approaches for Sperm Morphology Assessment
Abbadi, Mohammad

Machine Learning Computer Vision and Patt... Image and Video Processi... Quantitative Methods

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Volumetric Radar Echo Motion Estimation Using Physics-Informed Deep Learning: A Case Study Over Slovakia
Pavlík, Peter ; Ezzeddine, Anna Bou ; Rozinajová, Viera

Machine Learning Artificial Intelligence Computer Vision and Patt...

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Interpretable Machine Learning for Quantum-Informed Property Predictions in Artificial Sensing Materials
Chen, Li ; Sandonas, Leonardo Medrano ; Huang, Shirong ; et al.

Chemical Physics Machine Learning

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Dynamics-Informed Deep Learning for Predicting Extreme Events
Katsidoniotaki, Eirini ; Sapsis, Themistoklis P.

Machine Learning Dynamical Systems Chaotic Dynamics

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Physics-Informed Machine Learning for Transformer Condition Monitoring -- Part II: Physics-Informed Neural Networks and Uncertainty Quantification
Aizpurua, Jose I.
8th International Advanced Research Workshop on Transformers (ARWtr), Baiona, Spain, 2025, pp. 95-101

Machine Learning

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The Physics Constraint Paradox: When Removing Explicit Constraints Improves Physics-Informed Data for Machine Learning
Ray, Rahul D

Machine Learning

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12

On the failure of ReLU activation for physics-informed machine learning
Rowan, Conor

Machine Learning

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13

Learning Biomolecular Motion: The Physics-Informed Machine Learning Paradigm
Deshpande, Aaryesh

Biomolecules Machine Learning Computational Physics

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Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
Daniels, Mara ; Hodgkinson, Liam ; Mahoney, Michael

Machine Learning

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Physics-Informed Machine Learning in Biomedical Science and Engineering
Ahmadi, Nazanin ; Cao, Qianying ; Humphrey, Jay D. ; et al.

Machine Learning Artificial Intelligence Quantitative Methods

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Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties with Phonon-Informed Datasets
Benítez, Pol ; López, Cibrán ; Saucedo, Edgardo ; et al.

Materials Science Machine Learning

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18

Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics
Ma, Shuhao ; Huang, Zeyi ; Cao, Yu ; et al.

Machine Learning Human-Computer Interacti... Signal Processing

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Physics-Informed Machine Learning for Characterizing System Stability
Koike, Tomoki ; Qian, Elizabeth

Machine Learning Numerical Analysis Systems and Control

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20

Self-induced stochastic resonance: A physics-informed machine learning approach
Savaliya, Divyesh ; Yamakou, Marius E.

Machine Learning Adaptation and Self-Orga...

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