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cs.CE2026
Enhancing neural network extrapolation in thermo-fluid systems using steady-state solutions
Sanjeeb Poudel, Teeratorn Kadeethum, Sanghyun Lee
Time-dependent partial differential equations (PDEs) arise in many engineering systems, including thermo-fluid applications. Classical numerical simulations of such systems can bec…
cs.CE2026
Reference-Space Reuse for Steady and Transient State-Constrained Conjugate Heat Transfer
Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi +1
Repeated thermal optimization must enforce local temperature limits while solving linear systems whose unknowns change as the constraints activate and release. Zero-extension trans…