Author

Xian-Qi Li

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#machine learning Preprint Sep 2026

Efficient and Scalable Physics-Guided Fully Convolutional Spatiotemporal Learning for 3D Microstructure Evolution Prediction

Accurate prediction of three-dimensional (3D) microstructure evolution remains computationally demanding because high-fidelity phase-field simulations require repeated numerical integration over large volumetric domains and long temporal horizons. This study develops an efficient and scalable physics-guided fully convo...

M. Trimboli, Wen-Xi Liu, Xian-Qi Li · 0 citations

#machine learning Jul 2026

AI-Augmented Adaptive Digital Twin Modeling for Brain Tumor Evolution Prediction and Treatment Scheduling

An AI-augmented adaptive digital twin framework for brain tumor evolution prediction and treatment scheduling that integrates an interpretable reaction--diffusion model, a 3D residual learning module for model-form correction, patient-specific DT updating during recursive rollout, and model predictive control for const...

Wen-Xi Liu, M. Trimboli, Xian-Qi Li · arXiv.org · 2 citations