
Weiliang developed advanced simulation and modeling features for the flexcompute/tidy3d repository, focusing on robust geometry processing, mesh refinement, and material modeling for electromagnetic simulations. Leveraging Python and C++, Weiliang engineered solutions such as adaptive meshing algorithms, surface impedance modeling for thin conductors, and data-driven material models, all while maintaining strong test coverage and documentation. Their work addressed numerical stability, improved simulation fidelity, and enabled efficient handling of complex geometries and large-scale problems. By integrating new APIs, optimizing backend logic, and refining error handling, Weiliang delivered reliable, scalable tools that support high-fidelity device simulations and reproducible scientific workflows.

Monthly summary for 2025-10 focusing on delivering core features, improving reliability, and expanding capabilities for tidy3d. Highlights include enhanced source time-dependence modeling, expanded ClipOperation geometry capacity, and default edge singularity correction for PECConformal. Implemented fixes to frequency calculations and validation rules, driving higher fidelity simulations and broader use-case support.
Monthly summary for 2025-10 focusing on delivering core features, improving reliability, and expanding capabilities for tidy3d. Highlights include enhanced source time-dependence modeling, expanded ClipOperation geometry capacity, and default edge singularity correction for PECConformal. Implemented fixes to frequency calculations and validation rules, driving higher fidelity simulations and broader use-case support.
September 2025 monthly summary for flexcompute/tidy3d highlights a shift toward robust, data-driven material modeling and efficient mesh refinement, underpinned by strengthened test coverage and documentation. Delivered features enhance modeling fidelity, while refactorings prepare the codebase for scalable material simulations and complex geometries.
September 2025 monthly summary for flexcompute/tidy3d highlights a shift toward robust, data-driven material modeling and efficient mesh refinement, underpinned by strengthened test coverage and documentation. Delivered features enhance modeling fidelity, while refactorings prepare the codebase for scalable material simulations and complex geometries.
August 2025 performance summary: Focused on delivering robust geometry/meshing capabilities, correcting critical simulation inputs, and advancing notebook-based modeling for SFS scenarios. These efforts increased accuracy, reliability, and performance potential for downstream analyses and customer-ready results.
August 2025 performance summary: Focused on delivering robust geometry/meshing capabilities, correcting critical simulation inputs, and advancing notebook-based modeling for SFS scenarios. These efforts increased accuracy, reliability, and performance potential for downstream analyses and customer-ready results.
Concise monthly summary for 2025-07 focusing on robustness and reliability of numerical solvers. Delivered targeted validation to prevent overflow in the ModeSolver when combining grid points and modes, improving stability for large problem configurations and reducing risk of runtime errors.
Concise monthly summary for 2025-07 focusing on robustness and reliability of numerical solvers. Delivered targeted validation to prevent overflow in the ModeSolver when combining grid points and modes, improving stability for large problem configurations and reducing risk of runtime errors.
May 2025 monthly summary for flexcompute/tidy3d: this period focused on delivering robust modeling capabilities and licensing transparency, with structured changes across modeling of RF simulations and conductor surfaces, and PMC material support. The work emphasizes business value through clearer licensing guidance, expanded physical modeling capabilities, and improved test coverage and documentation.
May 2025 monthly summary for flexcompute/tidy3d: this period focused on delivering robust modeling capabilities and licensing transparency, with structured changes across modeling of RF simulations and conductor surfaces, and PMC material support. The work emphasizes business value through clearer licensing guidance, expanded physical modeling capabilities, and improved test coverage and documentation.
April 2025 (2025-04) summary for flexcompute/tidy3d: Delivered core physics and workflow enhancements that improve simulation fidelity, determinism, and cross-module integration. Key features added include an interior_angle property for PolySlab, explicit overlap priority controls, a frequency-domain utility for amplitude optimization, and an edge singularity correction option for PEC and lossy metal edges. These changes, paired with updated tests and CHANGELOG entries, establish a stronger foundation for accurate conductive-material simulations and deterministic multi-structure interactions. Overall, the work reduces edge-case inaccuracies, improves material-property governance, and enhances API clarity for future extensions. Highlights show a strong emphasis on correctness, test coverage, and cross-module consistency across the tidy3d repository.
April 2025 (2025-04) summary for flexcompute/tidy3d: Delivered core physics and workflow enhancements that improve simulation fidelity, determinism, and cross-module integration. Key features added include an interior_angle property for PolySlab, explicit overlap priority controls, a frequency-domain utility for amplitude optimization, and an edge singularity correction option for PEC and lossy metal edges. These changes, paired with updated tests and CHANGELOG entries, establish a stronger foundation for accurate conductive-material simulations and deterministic multi-structure interactions. Overall, the work reduces edge-case inaccuracies, improves material-property governance, and enhances API clarity for future extensions. Highlights show a strong emphasis on correctness, test coverage, and cross-module consistency across the tidy3d repository.
March 2025 performance summary for flexcompute/tidy3d focusing on features delivered, bugs fixed, impact, and technologies demonstrated. Key contributions include feature enhancements and stability improvements that increase realism and reliability of simulations, particularly for microwave regimes and lossy metals. The month delivered two new features to improve physical fidelity and two critical bug fixes to stabilize numerical results and respect layer boundaries. The combined work reduces warnings, increases accuracy, and improves confidence in simulation outputs used for product decisions. Overall, the work enhanced numerical stability and accuracy in mode solver calculations, expanded material modeling capabilities with Hammerstad and Huray roughness models, and improved grid refinement behavior by respecting layer boundaries. These changes enable more reliable design exploration and faster iteration for customers leveraging tidy3d in high-frequency and lossy metal scenarios.
March 2025 performance summary for flexcompute/tidy3d focusing on features delivered, bugs fixed, impact, and technologies demonstrated. Key contributions include feature enhancements and stability improvements that increase realism and reliability of simulations, particularly for microwave regimes and lossy metals. The month delivered two new features to improve physical fidelity and two critical bug fixes to stabilize numerical results and respect layer boundaries. The combined work reduces warnings, increases accuracy, and improves confidence in simulation outputs used for product decisions. Overall, the work enhanced numerical stability and accuracy in mode solver calculations, expanded material modeling capabilities with Hammerstad and Huray roughness models, and improved grid refinement behavior by respecting layer boundaries. These changes enable more reliable design exploration and faster iteration for customers leveraging tidy3d in high-frequency and lossy metal scenarios.
February 2025 performance highlights across flexcompute/tidy3d and flexcompute/tidy3d-notebooks, focusing on stability, performance, and diagnostics. Key features delivered include: - Stability, correctness, and robustness: Fixes in core meshing and model saving addressing boundary handling for unshadowed override structures, robust float comparisons in Mesher.filter_min_step, and handling of empty batch saves in modeler.to_file. - Modeling improvements: LossyMetalMedium enhancements with renaming SkinDepthFitterParam to SurfaceImpedanceFitterParam, improved surface impedance plotting, and a runtime fix by adjusting permittivity usage to reduce run times. - Meshing and override enhancements: Caching and snapping improvements to layer refinement; new logic to skip exterior structures that do not intersect the target layer; and a drop_outside_sim flag to control domain-boundary behavior. - Dielectric boundary accuracy: Subpixel ContourPathAveraging added for dielectric boundaries to improve subpixel accuracy. - Diagnostics and visibility: Grid information API added to Simulation (grid_info) exposing cell counts, grid sizes, and computational complexity. Note: A LayerRefinementSpec tutorial notebook was added to tidy3d-notebooks to demonstrate automatic mesh refinement strategies for layered structures, complementing the feature work above. Overall, these changes improve simulation stability and accuracy, enable better performance analysis and debugging, and provide clearer diagnostics for device-scale simulations. They also demonstrate a broad set of skills across Python APIs, numerical robustness, performance optimization, and documentation.
February 2025 performance highlights across flexcompute/tidy3d and flexcompute/tidy3d-notebooks, focusing on stability, performance, and diagnostics. Key features delivered include: - Stability, correctness, and robustness: Fixes in core meshing and model saving addressing boundary handling for unshadowed override structures, robust float comparisons in Mesher.filter_min_step, and handling of empty batch saves in modeler.to_file. - Modeling improvements: LossyMetalMedium enhancements with renaming SkinDepthFitterParam to SurfaceImpedanceFitterParam, improved surface impedance plotting, and a runtime fix by adjusting permittivity usage to reduce run times. - Meshing and override enhancements: Caching and snapping improvements to layer refinement; new logic to skip exterior structures that do not intersect the target layer; and a drop_outside_sim flag to control domain-boundary behavior. - Dielectric boundary accuracy: Subpixel ContourPathAveraging added for dielectric boundaries to improve subpixel accuracy. - Diagnostics and visibility: Grid information API added to Simulation (grid_info) exposing cell counts, grid sizes, and computational complexity. Note: A LayerRefinementSpec tutorial notebook was added to tidy3d-notebooks to demonstrate automatic mesh refinement strategies for layered structures, complementing the feature work above. Overall, these changes improve simulation stability and accuracy, enable better performance analysis and debugging, and provide clearer diagnostics for device-scale simulations. They also demonstrate a broad set of skills across Python APIs, numerical robustness, performance optimization, and documentation.
Delivered major meshing and API stability improvements in 2025-01 for flexcompute/tidy3d. Key features include MeshOverrideStructure enhancements that add a 'shadow' parameter for finer control of grid sizing in overlapping regions and disable grid snapping for unshadowed structures to prevent unnecessary refinement, boosting meshing efficiency. Auto-gridding precision improvements fixed dl_max calculation by basing on the full original sim_size and corrected domain coordinate handling, resulting in more accurate mesh generation. Grid auto API stability updates relocated min_steps_per_sim_size to the end of the auto() signature and updated documentation to preserve backward-compatible behavior.
Delivered major meshing and API stability improvements in 2025-01 for flexcompute/tidy3d. Key features include MeshOverrideStructure enhancements that add a 'shadow' parameter for finer control of grid sizing in overlapping regions and disable grid snapping for unshadowed structures to prevent unnecessary refinement, boosting meshing efficiency. Auto-gridding precision improvements fixed dl_max calculation by basing on the full original sim_size and corrected domain coordinate handling, resulting in more accurate mesh generation. Grid auto API stability updates relocated min_steps_per_sim_size to the end of the auto() signature and updated documentation to preserve backward-compatible behavior.
December 2024 monthly summary: Delivered substantial meshing enhancements and stability improvements across tidy3d and tidy3d-notebooks, enabling more accurate, robust subwavelength simulations and faster user onboarding. Key features introduce QuasiUniformGrid with boundary snapping and AutoGrid with min_steps_per_sim_size, along with LayerRefinementSpec for automatic mesh refinement in layered structures, significantly improving meshing accuracy and visualization. Notebook examples were updated to demonstrate these capabilities. Major bug fixes address geometry handling and cache integrity, enhancing scene reliability and copy behavior. These changes reduce manual meshing tweaks, improve reproducibility, and accelerate simulation setup, delivering clear business value to users running high-fidelity simulations.
December 2024 monthly summary: Delivered substantial meshing enhancements and stability improvements across tidy3d and tidy3d-notebooks, enabling more accurate, robust subwavelength simulations and faster user onboarding. Key features introduce QuasiUniformGrid with boundary snapping and AutoGrid with min_steps_per_sim_size, along with LayerRefinementSpec for automatic mesh refinement in layered structures, significantly improving meshing accuracy and visualization. Notebook examples were updated to demonstrate these capabilities. Major bug fixes address geometry handling and cache integrity, enhancing scene reliability and copy behavior. These changes reduce manual meshing tweaks, improve reproducibility, and accelerate simulation setup, delivering clear business value to users running high-fidelity simulations.
2024-11 Monthly Summary for flexcompute/tidy3d: Focused on stability and correctness in geometry processing. Delivered a targeted bug fix to the Scene polygon handling path, improving robustness of polygon operations and preventing downstream rendering/processing errors in complex scenes. No new features released this month; main value comes from increased reliability and reduced risk in production workflows.
2024-11 Monthly Summary for flexcompute/tidy3d: Focused on stability and correctness in geometry processing. Delivered a targeted bug fix to the Scene polygon handling path, improving robustness of polygon operations and preventing downstream rendering/processing errors in complex scenes. No new features released this month; main value comes from increased reliability and reduced risk in production workflows.
Overview of all repositories you've contributed to across your timeline