Landing page: say what rugnux does with the methods it builds on
The credits paragraph framed the software as existing algorithms reimplemented and moved to the GPU. That undersells the work: the methods are taken further (hypotheses carried forward and decided on the evidence, data-driven decisions instead of fixed thresholds, autodetection so a bare invocation gives the best answer). Reword the one sentence along the lines of the preprint's own introduction, keeping the credit to the community's methods and the acknowledgements link. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01HVeDQqrcrEZy6XBUCMZvyT
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@@ -204,10 +204,10 @@ try { var t = localStorage.getItem("jfj-theme"); if (t) document.documentElement
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included; modified versions that are distributed must be released under the same licence. The released binaries bundle third-party components under GPL-compatible licences, and the
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CUDA builds the NVIDIA CUDA runtime under NVIDIA's EULA: see the
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<a href="THIRD_PARTY_NOTICES.html">third-party notices</a>.</p>
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<p>The software builds on many existing algorithms, reimplemented (see the
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<a href="ACKNOWLEDGEMENT.html">acknowledgements</a>), many of them moved to the GPU and made faster
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across a range of computing configurations; it was developed with the help of generative AI
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(Claude Opus, Anthropic).</p>
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<p>The software builds on decades of developments in the crystallographic community (see the
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<a href="ACKNOWLEDGEMENT.html">acknowledgements</a>), taken further in one GPU-accelerated program
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whose automated decisions are validated against the diffraction data; it was developed with the
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help of generative AI (Claude Opus, Anthropic).</p>
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</section>
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</main>
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