Learning complex spatial dynamics of wildlife diseases with machine learning-guided partial differential equations by Juan Francisco Mandujano Reyes, Gina Oh, Ian McGahan, Ting Fung Ma, Robin Russell, Daniel P. Walsh, Jun Zhu

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Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations by Daniel Kelshaw, Luca Magri

Subjects: “…scientific machine learning…”
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Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge by Mahyar Jahani-nasab, Mohamad Ali Bijarchi

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A deep operator network for Bayesian parameter identification of self-oscillators by Tobias Sugandi, Bayu Dharmaputra, Nicolas Noiray

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Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations by Diego Valderrama, Olga Teplytska, Luca Marie Koltermann, Elena Trunz, Eduard Schmulenson, Achim Fritsch, Ulrich Jaehde, Holger Fröhlich

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XNODE: A XAI Suite to Understand Neural Ordinary Differential Equations by Cecília Coelho, Maria Fernanda Pires da Costa, Luís L. Ferrás

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A guide to neural ordinary differential equations: Machine learning for data-driven digital engineering by Joseph M. Worsham, Jugal K. Kalita

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DeepSeek vs. ChatGPT vs. Claude: A comparative study for scientific computing and scientific machine learning tasks by Qile Jiang, Zhiwei Gao, George Em Karniadakis

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Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea by Maximilian Berthold, Pascal Nieters, Rahel Vortmeyer-Kley

Subjects: “…Scientific machine learning…”
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Neuromorphic, physics-informed spiking neural network for molecular dynamics by Vuong Van Pham, Temoor Muther, Amirmasoud Kalantari Dahaghi

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Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network by Nafisa Mehtaj, Sourav Banerjee

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Physics-Informed Neural Networks for the Structural Analysis and Monitoring of Railway Bridges: A Systematic Review by Yuniel Martinez, Luis Rojas, Alvaro Peña, Matías Valenzuela, Jose Garcia

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Multi-exit Kolmogorov–Arnold networks: enhancing accuracy and parsimony by James Bagrow, Josh Bongard

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Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator by Nafisa Mehtaj, Sourav Banerjee

Subjects: “…scientific machine learning…”
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