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提高X射线吸收近边结构(XANES)对桥连金属-金属配位结构拟合的灵敏度。

Improving sensitivity of XANES structural fit to the bridged metal-metal coordination.

作者信息

Abrosimov S V, Protsenko B O, Mannaa A S, Vlasenko V G, Guda S A, Pankin I A, Burlov A S, Koshchienko Y V, Guda A A, Soldatov A V

机构信息

The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, 344090 Rostov-on-Don, Russian Federation.

Institute of Physics, Southern Federal University, Stachki Ave 194, 344090 Rostov-on-Don, Russian Federation.

出版信息

J Synchrotron Radiat. 2024 May 1;31(Pt 3):447-455. doi: 10.1107/S1600577524002091. Epub 2024 Mar 26.

Abstract

Hard X-ray absorption spectroscopy is a valuable in situ probe for non-destructive diagnostics of metal sites. The low-energy interval of a spectrum (XANES) contains information about the metal oxidation state, ligand type, symmetry and distances in the first coordination shell but shows almost no dependency on the bridged metal-metal bond length. The higher-energy interval (EXAFS), on the contrary, is more sensitive to the coordination numbers and can decouple the contribution from distances in different coordination shells. Supervised machine-learning methods can combine information from different intervals of a spectrum; however, computational approaches for the near-edge region of the spectrum and higher energies are different. This work aims to keep all benefits of XANES and extend its sensitivity towards the interatomic distances in the first and second coordination shells. Using a binuclear bridged copper complex as a case study and cross-validation analysis as a quantitative tool it is shown that the first 170 eV above the edge are already sufficient to balance the contributions of Cu-O/N scattering and Cu-Cu scattering. As a more general outcome this work highlights the trivial but often overlooked importance of using `longer' energy intervals of XANES for structural refinement and machine-learning predictions. The first 200 eV above the absorption edge still do not require parametrization of Debye-Waller damping and can be calculated within full multiple scattering or finite difference approximations with only moderately increased computational costs.

摘要

硬X射线吸收光谱是用于金属位点无损诊断的一种有价值的原位探针。光谱的低能量区间(XANES)包含有关金属氧化态、配体类型、对称性以及第一配位层中距离的信息,但几乎不依赖于桥连金属-金属键长。相反,较高能量区间(EXAFS)对配位数更敏感,并且可以区分不同配位层中距离的贡献。监督式机器学习方法可以结合光谱不同区间的信息;然而,光谱近边缘区域和更高能量区域的计算方法是不同的。这项工作旨在保留XANES的所有优点,并将其对第一和第二配位层中原子间距离的灵敏度扩展。以双核桥连铜配合物为案例研究,并使用交叉验证分析作为定量工具,结果表明,边缘上方的前170 eV已经足以平衡Cu-O/N散射和Cu-Cu散射的贡献。作为一个更普遍的结果,这项工作强调了在结构精修和机器学习预测中使用“更长”的XANES能量区间这一虽微不足道但常被忽视的重要性。吸收边缘上方的前200 eV仍然不需要对德拜-瓦勒阻尼进行参数化,并且可以在完全多重散射或有限差分近似内计算,计算成本仅适度增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/11075727/4eaa2568dc9f/s-31-00447-fig1.jpg

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