报告题目：Breaking the materials barrier: Atom probe tomography, an emerging tool for chemical analysis of soft matter and complex interfaces
报 告 人：Prof. Dr. Guido Schmitz（德国斯图加特大学教授）
报告时间：2026年10月23日（星期五）上午10:30—11:30
报告地点：五山校区38号楼303室
主办单位：机械与汽车工程学院
报告人简介：
Guido Schmitz，德国斯图加特大学材料物理讲席教授、材料科学研究所所长。1994年获哥廷根大学博士学位，2000年获该校教授资格。曾任美国加州大学洛杉矶分校博士后研究员、德国明斯特大学教授，2013年起任斯图加特大学讲席教授。Schmitz教授长期从事纳米结构材料固态反应、晶界扩散、界面结构与稳定性等方向研究，是原子探针层析技术领域的国际知名专家，在仪器研发、冷冻液体与软物质分析、三维体积重构方法及热力学统计测量等方向取得多项开创性成果。现任《国际材料研究杂志》主编、国际场发射学会会士，曾获德国材料学会Werner-Köster奖。
报告摘要：
Atom probe tomography is a method of microscopic analysis that is already well-established in the study of hard materials. It is based on controlled field desorption and stands out by combining single-atom sensitivity with a 3D volume reconstruction. Particular strongholds are the accurate measurement of chemical segregation to grain boundaries and interfaces in nanostructured matter. Our recent efforts push forward volume reconstruction methods, the quantum mechanics simulation of the evaporation process and the statistical understanding of chemical fluctuations which even enables a direct measurement of Gibbs energy. We desire to break the materials limitations towards the analysis of soft matter and polymeric materials. Meanwhile, nanometric needles are produced from frozen liquids, even from pure water. Studies are performed with aqueous solutions, liquids of short alkanes, liquid crystals and self-assembling monolayers. The talk first gives an introduction into the physical principles of the method: high field nanoscience, field desorption, time of flight spectroscopy and volume reconstruction. Then it addresses current problems and research fields that currently opens up new fields of application: The field desorption of liquids and organic and soft materials and their dependence on field or laser intensity. The complex mechanisms of field desorption from frozen water surfaces and molecular organic liquids are elucidated by DFT and Monte-Carlo simulation. New concepts of volume reconstruction, and statistical methods are introduced to derive physically realistic tip shapes from the data set, the Gibbs energy of mixing in binary alloys and to evaluate the quality of the analysis of battery electrodes.
