The measurement of resistivity in a compressed material within a diamond anvil cell presents significant challenges. The high-pressure experimental setup makes it difficult to directly measure the size changes induced by pressure in the three crystallographic directions of the sample. In this study, we introduce a novel and effective method that addresses these technical challenges. This method is anticipated to offer a valuable foundation for high-pressure investigations on quantum materials, particularly those with anisotropic layered structures.
I. INTRODUCTION
The superconductivity of materials always emerges from their normal state, and is closely related to the resistivity of that normal state.1,2 However, measuring the resistivity of a material under high pressure has long presented a significant technical challenge, owing to the difficulty of measuring the pressure-induced changes in the crystallographic directions, especially for samples with anisotropic layered structures, such as high-Tc superconductors and other intriguing quantum materials. Here, we propose a novel and effective method for determining high-pressure resistivity. The validity of the method has been confirmed through our investigations of pressurized copper-oxide superconductors.3 This successful application of the proposed method provides encouraging evidence that it can provide an effective approach for quantitatively investigating the connections between normal-state and ground-state properties in various other quantum materials under high pressure, which has been becoming an increasingly fruitful research direction in condensed matter physics and materials science.
II. PROBLEM TO BE CONFRONTED
Apart from chemical doping, pressure is the most important way to tune the transport properties of materials. Applying pressure to superconductors or other quantum materials not only reveals numerous novel physical phenomena,4–17 thereby providing vital insights for the exploration of new superconductors,18,19 but also can effectively assist in uncovering the underlying physics.20,21
(a) Schematic of high-pressure experimental setup for resistance measurements in a diamond anvil cell, where a mixture of cubic boron nitride (c-BN) and epoxy serves as an insulating material, and ruby is utilized as a pressure calibrator for determining the sample pressure. (b) Enlarged view illustrating the arrangement of the sample in the gasket hole. A standard four-probe method is used to establish contact with the sample, while the insulating material is employed to isolate it from the metallic gasket. (c) Sample for measurement and the technique for resistance measurement. The three equations provide an explanation of the method for determining the resistivity of compressed materials.
(a) Schematic of high-pressure experimental setup for resistance measurements in a diamond anvil cell, where a mixture of cubic boron nitride (c-BN) and epoxy serves as an insulating material, and ruby is utilized as a pressure calibrator for determining the sample pressure. (b) Enlarged view illustrating the arrangement of the sample in the gasket hole. A standard four-probe method is used to establish contact with the sample, while the insulating material is employed to isolate it from the metallic gasket. (c) Sample for measurement and the technique for resistance measurement. The three equations provide an explanation of the method for determining the resistivity of compressed materials.
III. PROPOSED METHOD
It is evident that there are two sources of error in high-pressure resistivity measurements. One is associated with the lattice parameters ai, bi, and ci, leading to errors typically around 5%.17 The other is associated the numbers of the unit cell of the measured sample in the three crystallographic directions (n, m, and l). The error attributed to these is about 5%–10%. Hence, in the most extreme scenario, the errors are around 10%.
IV. REQUIREMENTS FOR ADOPTION OF THE METHOD
It is important to note that when employing the proposed method, the sample must meet the following criteria:
The measured sample should be a bulk single crystal, and its ambient-pressure dimensions S and L, lattice parameters a0, b0, and c0, and resistivity, as well as its high-pressure lattice parameters ai, bi, and ci, and the resistance Ri, should be known.
Samples with cubic, tetragonal, and orthorhombic structures are suitable for obtaining more accurate ρi(Pi).
No pressure-induced structural phase transition should occur within the pressure range investigated.
When studying the low-temperature properties of materials, the use of low-temperature XRD to measure the lattice parameters at both ambient pressure and high pressure should yield more precise results than room-temperature XRD. This is because the values of a0, b0, and c0, as well as those of ai, bi, and ci, collected at low temperature may differ to some extent from those measured at room temperature.
V. SIGNIFICANCE OF THE METHOD
The proposed method provides a viable way to overcome the technical challenges associated with determining the resistivities of compressed materials. It not only introduces researchers to a new means of obtaining the resistivities of pressurized samples, but also contributes to understand the underlying superconducting mechanism by generating a substantial amount of high-pressure data regarding the correlation of the superconducting transition temperature with superfluid density and resistivity. We have demonstrated the effectiveness of this approach by examining the pressure-induced coevolution of superconductivity with resistivity and superfluid density in bismuth-based cuprate superconductors.3 It is anticipated that this method can also be utilized in high-pressure studies on other quantum materials, thereby providing a basis for further advances in condensed matter physics and materials science.
ACKNOWLEDGMENTS
This work was supported by the National Key Research and Development Program of China (Grant Nos. 2022YFA1403900 and 2021YFA1401800) and the NSF of China (Grant Nos. U2032214 and 12104487).
AUTHOR DECLARATIONS
Author Contributions
Liling Sun: Formal analysis (equal); Investigation (equal); Methodology (equal); Validation (equal); Writing – original draft (equal); Writing – review & editing (equal). Qi Wu: Formal analysis (equal); Investigation (equal); Methodology (equal); Validation (equal); Writing – original draft (equal); Writing – review & editing (equal). Shu Cai: Validation (equal); Writing – review & editing (equal). Yang Ding: Validation (equal); Writing – review & editing (equal). Ho-kwang Mao: Validation (equal); Writing – review & editing (equal).
DATA AVAILABILITY
The data that support the findings of this study are available from the corresponding author upon reasonable request.