3 papers
physics.optics2026
Physics-Informed Neural Operator for Warm-Starting Background-Decomposed and Preconditioned PSFD: Enabling Scalable 3-D EUV Mask Simulation
Doyun Kim, Werner Gillijns
We present a physics-informed neural operator (PINO) trained with pseudo-spectral frequency-domain (PSFD) equations for electromagnetic (EM) scattering problems in EUV lithography.…
physics.optics2026
Pseudo-spectral frequency-domain method with background field decomposition and Green's function preconditioner for electromagnetic scattering problem in EUV lithography
Seungjin Lee, Werner Gillijns, Doyun Kim
We provide an accelerated computational framework to solve electromagnetic scattering problems in planarly layered media arising from extreme ultraviolet (EUV) lithography. To achi…
eess.SP2026
Transforming Computational Lithography with AC and AI -- Faster, More Accurate, and Energy-efficient
Saumyadip Mukhopadhyay, Kiho Yang, Kasyap Thottasserymana Vasudevan +8
From climate science to drug discovery, scientific computing demands have surged dramatically in recent years -- driven by larger datasets, more sophisticated models, and higher si…