Articlenpj computational materials2026
phaser: a unified and extensible framework for fast electron ptychography.
Article in npj computational materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- phaser: a unified and extensible framework for fast electron ptychography.npj computational materials · 2026Article
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Authors and funding
3 authors.
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Abstract
We present phaser, an open-source Python package that provides a unified interface to both conventional and autodifferentiation-based ptychographic algorithms. Features such as mixed-state probe, probe position correction, and multislice ptychography make experimental reconstructions practical and robust. Reconstructions are specified in a declarative format and can be run from a command line, Jupyter notebook, or web interface. Multiple computational backends are supported to provide maximum flexibility. We report reconstruction success for a variety of experimental datasets, and detail the effects of regularization on convergence and reconstruction quality. Reconstruction speed is benchmarked for single-slice and multislice reconstructions and compared to state-of-the-art packages. The software promises to speed the application and development of ptychographic methods for materials science.
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Registered trials
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