Field dossier · from the corpus
Applied mathematics
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Most cited work
Variational Inference: A Review for Statisticians
Partial Least Squares Structural Equation Modeling
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods
Variational Inference: A Review for Statisticians
Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations
Recent work · 2024 onward
A Semi-Explicit Algorithm for Parameters Estimation in a Time-Fractional Dual-Phase-Lag Heat Conduction Model
Computational analysis of fractional heat conduction with fading memory
Monte Carlo physics-informed neural networks for multiscale heat conduction via phonon Boltzmann transport equation
A data-driven integral equation approach for nonlinear inverse heat conduction problems with unknown thermophysical properties
Inverse analysis of a loaded heat conduction equation
INITIAL-BOUNDARY-VALUE PROBLEMS FOR SOME NONLINEAR MIXED HEAT CONDUCTIVITY OPERATORS