LOPOSTER: A Cascading Postprocessor for LOBSTER Article Swipe

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Yixu Wang , Peter C. Müller , David Schnieders , Richard Dronskowski ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1002/jcc.70167

The computer program LOPOSTER, available via GitHub, is introduced, capable of postprocessing the LOBSTER code results. LOPOSTER is designed to be particularly effective for analyzing large datasets with over 10,000 interactions and enormously reducing postprocessing time. LOPOSTER pioneers the automated processing of advanced bonding analysis results, including multicenter bonding, molecular‐orbital formation energy, and k ‐dependent COHP, expanding the scope of routine chemical‐bonding investigations. In addition, LOPOSTER streamlines the postprocessing workflow by providing comprehensive results in a single execution, minimizing user intervention and potential errors. An example of chemical‐bonding analysis on NiNCN is provided, with visualization by LOPOSTER. LOPOSTER offers versatile analysis of interactions in NiNCN, enabling evaluations in real or reciprocal space, and based on atomic or molecular orbitals, catering to different analytic preferences. Various correlations between those interactions and magnetism in NiNCN are also explored. The electron‐rich features of an N=C=N π bond have been discussed from various perspectives.

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Landing Page: https://doi.org/10.1002/jcc.70167
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DOI: https://doi.org/10.1002/jcc.70167

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Title: LOPOSTER: A Cascading Postprocessor for LOBSTER

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Publication year: 2025

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Publication date: 2025-06-30

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Authors: Yixu Wang, Peter C. Müller, David Schnieders, Richard Dronskowski

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Concepts: Workflow, Computer science, Visualization, Reciprocal, Scope (computer science), Chemistry, Data mining, Database, Programming language, Linguistics, Philosophy

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