Chee Augustus K W
Centre for Advanced Photonics and Electronics, Electrical Engineering Division, Department of Engineering, University of Cambridge, 9 JJ Thomson Avenue, Cambridge, CB3 0FA, United Kingdom.
Department of Materials Science and Metallurgy, University of Cambridge, Pembroke Street, Cambridge CB2 3QZ, United Kingdom.
Sci Rep. 2018 Mar 27;8(1):5247. doi: 10.1038/s41598-018-22909-2.
Recent advances in two-dimensional dopant profiling in the scanning electron microscope have enabled a high throughput, non-contact process diagnostics and failure analysis solution for integrated device manufacturing. The routine (electro)chemical etch processes to obtain contamination-free, hydrogen-terminated silicon surfaces is industrially important in ULSI microfabrication, though doping contrast, which is the basis for quantitative dopant profiling, will be strongly altered. We show herein that ammonium-fluoride treatment not only enabled doping contrast to be differentiated mainly by surface band-bending, but it enhanced the quality of linear quantitative calibration through simple univariate analysis for SE energies as low as 1 eV. Energy-filtering measurements reveal that the linear analytical model broached in the literature (c.f. Kazemian et al., 2006 and Kazemian et al., 2007) is likely to be inadequate to determine the surface potential across semiconductor p-n junctions without suitable deconvolution methods. Nevertheless, quantification trends suggest that energy-filtering may not be crucial if patch fields and contamination are absolutely suppressed by the appropriate edge termination and passivation.
扫描电子显微镜中二维掺杂剂剖析技术的最新进展,为集成器件制造带来了一种高通量、非接触式的工艺诊断和失效分析解决方案。在超大规模集成电路(ULSI)微制造中,通过常规的(电)化学蚀刻工艺获得无污染、氢终端化的硅表面具有重要的工业意义,不过,作为定量掺杂剂剖析基础的掺杂对比度将发生显著变化。我们在此表明,氟化铵处理不仅能使掺杂对比度主要通过表面能带弯曲来区分,还通过对低至1 eV的二次电子(SE)能量进行简单单变量分析,提高了线性定量校准的质量。能量过滤测量结果表明,文献中提出的线性分析模型(参见Kazemian等人,2006年和Kazemian等人,2007年),若没有合适的去卷积方法,可能不足以确定半导体p-n结上的表面电势。然而,定量趋势表明,如果通过适当的边缘终端和钝化绝对抑制了补丁场和污染,能量过滤可能并不关键。