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使用新型微机电系统加热器在透射电子显微镜的气体环境下对实时样品温度进行量化。

Quantifying Real-Time Sample Temperature Under the Gas Environment in the Transmission Electron Microscope Using a Novel MEMS Heater.

作者信息

Li Meng, Xie De-Gang, Zhang Xi-Xiang, Yang Judith C, Shan Zhi-Wei

机构信息

Center for Advancing Materials Performance from the Nanoscale (CAMP-Nano), State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 710049, China.

Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA15260, USA.

出版信息

Microsc Microanal. 2021 Aug;27(4):758-766. doi: 10.1017/S1431927621000489.

Abstract

Accurate control and measurement of real-time sample temperature are critical for the understanding and interpretation of the experimental results from in situ heating experiments inside environmental transmission electron microscope (ETEM). However, quantifying the real-time sample temperature remains a challenging task for commercial in situ TEM heating devices, especially under gas conditions. In this work, we developed a home-made micro-electrical-mechanical-system (MEMS) heater with unprecedented small temperature gradient and thermal drift, which not only enables the temperature evolution caused by gas injection to be measured in real-time but also makes the key heat dissipation path easier to model to theoretically understand and predict the temperature decrease. A new parameter termed as “gas cooling ability (H)”, determined purely by the physical properties of the gas, can be used to compare and predict the gas-induced temperature decrease by different gases. Our findings can act as a reference for predicting the real temperature for in situ heating experiments without closed-loop temperature sensing capabilities in the gas environment, as well as all gas-related heating systems.

摘要

准确控制和测量实时样品温度对于理解和解释环境透射电子显微镜(ETEM)内原位加热实验的实验结果至关重要。然而,对于商用原位透射电子显微镜加热装置而言,量化实时样品温度仍然是一项具有挑战性的任务,尤其是在气体环境下。在这项工作中,我们开发了一种自制的微机电系统(MEMS)加热器,其具有前所未有的小温度梯度和热漂移,这不仅能够实时测量由气体注入引起的温度变化,还能使关键散热路径更易于建模,从而从理论上理解和预测温度下降。一个新的参数“气体冷却能力(H)”,它完全由气体的物理性质决定,可用于比较和预测不同气体引起的温度下降。我们的研究结果可为在气体环境中没有闭环温度传感能力的原位加热实验以及所有与气体相关的加热系统预测实际温度提供参考。

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