Curvenote Publishing

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#Open Science Communication

Curvenote offers powerful writing and publishing tools for technical communication, connected to Jupyter. The space that you are on demonstrates our next-generation, open-source publishing system for individual scientists, lab-groups, and journal publishers. If you want to learn more, schedule a demo or browse some of the examples on this site.

Example Articles

Automated Crystal Orientation Mapping in py4DSTEM using Sparse Correlation Matching
Crystalline materials used in technological applications are often complex assemblies composed of multiple phases and differently oriented grains. Robust identification of the phases and orientation relationships from these samples is crucial, but the information extracted from the diffraction condition probed by an electron beam is often incomplete.
Pixels and Their Neighbours: Finite Volume
In this tutorial we take you on the journey from continuous equations to their discrete matrix representations using the finite volume method for the Direct Current (DC) resistivity problem.
Phase and the Hilbert Transform
Phase is a useful underlying property of the analytic trace model of seismic data that can be used as both an interpretation aid and a means to calibrate and check interpretations on a given seismic dataset.