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![[Figure 6]](ok5168fig6mag.jpg)
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Figure 6
NLP-driven virtual experiments captured directly from the browser client. (a) Element-resolved XRF maps from a natural-language-driven raster scan at 10 keV of a Siemens-star resolution target, modeled as a 0.5 µm Au/Cr/Si thin film (predominantly Au) and generated by the xraylib and fisx scan engine. At 10 keV the Si (K-edge 1.84 keV) and Cr (K-edge 5.99 keV) fluorescence lines are mapped, while the dominant Au is not excited (Au L3 = 11.92 keV); the radial spokes are clearly resolved at the refined 101 × 101 (10201-point) raster scan but not at the initial 21 × 21. The inset shows the reference Siemens-star spoke pattern. (b) NLP chat panel for the XRF raster, showing the plain-language request, issued with a deliberate misspelling (`simens star') that the pre-processing layer normalized to the correct Siemens-star preset, and the agent's action list. (c) Cu K-edge XANES: the energy-change guard (dE ≥ 1 keV) automatically inserts a full alignment sequence (M1, DCM, M2, SSA, KB) before the energy step scan; the panel shows the simulated μ(E) spectrum (701 points) across the Cu K-edge (E0 = 8979 eV). (d) NLP chat panel for the Cu K-edge XANES, showing the plain-language request and the agent's action list. |
![[Figure 6]](ok5168fig6.jpg)
 | JOURNAL OF SYNCHROTRON RADIATION |
ISSN: 1600-5775
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