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Computational Materials Science· 2026Q1

AFLOW-EMERALD: ElectroMagnetic modes EngineeRing in Advanced LayereD materials

Stefano Campanaro, Luca Bursi, Nicholas H. Anderson, Stefano Curtarolo A et al.

Short summary

AFLOW-EMERALD is a new open-source Python framework that simulates electromagnetic wave propagation in layered materials, offering robust numerical methods and seamless integration with material property datasets.

AI-generated from the title and abstract; the full text is not read.

Key points

  • AFLOW-EMERALD is an open-source, modular Python framework for simulating electromagnetic wave propagation in layered materials.
  • It combines a numerically stable scattering-matrix method with plane-wave expansion and rigorous coupled-wave analysis.
  • The software computes optical spectra, spatial field distributions, and photonic band structures, including complex-k dispersion.
  • It allows seamless import of dielectric function datasets from experimental, literature, or first-principles sources via YAML workflow.
  • AFLOW-EMERALD is designed for extensibility and integration into computational materials-design pipelines.

AI-generated from the title and abstract; the full text is not read.

Abstract

Layered and periodically patterned heterostructures underpin advanced optical, photonic, and plasmonic (meta)materials, whose rational design demands electromagnetic solvers that are both numerically robust and tightly linked to the underlying material properties. Here, we present AFLOW-EMERALD ( E lectro M agnetic modes E nginee R ing in A dvanced L ayere D materials), an open-source, modular, Python-based computational framework for simulating electromagnetic wave propagation in finite and periodic layered (meta)materials. Built around a unified object-oriented architecture, AFLOW-EMERALD combines a numerically stable scattering-matrix method with plane-wave expansion and extends to rigorous coupled-wave analysis for laterally patterned structures such as gratings. The software computes optical spectra, spatial field distributions, and photonic band structures, including complex- k dispersion in lossy, dispersive media. A streamlined YAML workflow allows users to seamlessly import dielectric function datasets from experimental, literature, or first-principles sources. Owing to its modular design, AFLOW-EMERALD is readily extensible and suitable for integration into computational materials-design pipelines, providing a practical platform for the coupled material–geometry engineering of dielectric photonic crystals, plasmonic multilayers, hyperbolic metamaterials, and more complex architectures supporting, e.g., surface and volume plasmon-polariton modes.

The authors' abstract, as published at the source. Computational Materials Science, 2026 · DOI ↗

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Field: Electronic, Optical and Magnetic Materials

Electronic, Optical and Magnetic MaterialsMaterials Science