Interdisciplinary

High-fidelity identification of guest species in porous materials

AI Insight

Researchers developed a reconstruction method based on Gaussian-apodized single-sideband electron ptychography to improve the imaging of guest species housed within porous materials. This technique effectively removes imaging artefacts that previously hindered accurate identification of atoms or molecules occupying the pores of these structures. The result is high-fidelity structural characterization at a level of precision not previously achievable with conventional electron microscopy approaches.


Accurate identification of guest species in porous materials is critical for advancing applications in gas storage, catalysis, drug delivery, and molecular separation. This method could accelerate the design and optimization of next-generation functional materials by providing reliable atomic-scale structural information.


Nature, Published online: 20 May 2026; doi:10.1038/s41586-026-10527-2

A reconstruction method based on Gaussian-apodized single-sideband electron ptychography removes artefacts to enable the high-fidelity identification of guest species in porous materials.

Source: High-fidelity identification of guest species in porous materials