A dataset of 2000 steady-state CFD simulations for a liquid-cooled dual-chip pin-fin cold plate, accompanied by a POD-NN surrogate model and code to reproduce all figures in the associated paper.
A novel computationally efficient surrogate model for linear mode coupling in graded-index multimode fibers, tunable via a single measurable parameter, benchmarked numerically and experimentally on a 90-polarization-mode fiber.
See LICENSE fileMode CouplingMultimode FiberSurrogate Model
Therm-FM adapts a pretrained PDE foundation model to steady-state and transient 3D-IC thermal simulation, reducing data-generation costs for cross-design reuse.
See LICENSE file3D-IC thermal simulationNeural OperatorPDE foundation model
Proposes a method to enforce hard physical constraints in generative models for semiconductor manufacturing by construction, ensuring that generated masks, layouts, and process recipes strictly comply with lithography, transport, reaction, and device-physics constraints.
See LICENSE filesemiconductor manufacturingphysics-informed learninggenerative AI
Proposes SO(3) Equivariant Neural Kalman Networks (SENK) with response-state cascade to improve transferable vibrational spectral prediction across chemical spaces using equivariant transformer backbone.
Introduces a reformulation of the S-matrix approach for layered photonic structures, defining the S-matrix as an intrinsic layer property independent of neighboring interfaces to enhance numerical stability.
A self-driving laboratory strategy that simultaneously and dynamically assesses composition-dependent synthetic accessibility and target properties via aggregated cost functions to accelerate optimization of multicomponent NASICON fast ionic conductors while maintaining phase purity.
A physics-informed computational screening framework that decomposes effective second-harmonic response to optimize nonlinear optical properties of 2D semiconductor/organic molecule interfaces.
