Changes In Conductivity Research Articles

Impact of conductive-filler content on the static sensing performance of spray-coated flexible strain sensors for steel-bridge strain monitoring

Abstract Flexible strain sensors fabricated using spray coating enable efficient and reliable strain monitoring of steel bridges. This study aimed to develop a flexible strain sensor with an extremely low detection limit, high linearity, and high sensitivity. The sensing layer materials were prepared by simply mixing silver-coated copper powder particles and water-based acrylic emulsion. Commercial moisture-proof insulating paint for printed circuit boards was used as the insulating layer, and modified polyurethane resin was used as the protective layer. Sensors were fabricated using the spray coating process, and the influence of the conductive-filler content on their static sensing performance was investigated. The results showed that the sensor exhibited the highest sensitivity near the percolation threshold, with a gauge factor of 272.54 and minimum strain detection limit of 0.00098% but suffered from high resistance relaxation and hysteresis. At higher conductive-filler contents, the resistance relaxation and hysteresis decreased; however, the sensitivity decreased, and the minimum detection limit of strain increased. The linear correlation coefficient of the sensor first increased and then decreased with increasing filler content; however, all values were above 0.940. A comparison of the conductivity and sensing performance revealed that the performance changes were significant near the percolation threshold and stabilized away from it, whereas the linearity coincided with the conductivity changes. This indicated that the sensor performance was closely related to the initial conductive network state of the sensing layer.

Elucidating Factors Governing the Discrepancy of Oxygen Vacancy Concentration Between La0.6Sr0.4Co1-yFeyO3-δ (y = 0, 0.2, 0.4, 0.6, 0.8, 1) Dense Film and Bulk Electrodes

Abstract Dense film electrodes are used to understand the reaction mechanisms of solid oxide cells. However, the oxygen vacancy concentration, δ, in films differ from that in bulk materials, which can mislead the understanding of the reaction mechanism. Therefore, a comprehensive study was conducted to elucidate the differences in δ for the air electrode, La0.6Sr0.4Co1−yFeyO3−δ (LSCF, y=0, 0.2, 0.4, 0.6, 0.8, and 1), between film and bulk electrodes. Two key findings emerged: (1) For Co-rich compositions (y ≤ 0.5), significant differences in δ were observed between films and bulk electrodes, while (2) for Fe-rich compositions (y ≥ 0.6), there was almost no difference in δ. Plausible reasons for these discrepancies were investigated: (1) lattice stress in the film, (2) compositional variation within the film electrode, and (3) changes in the electronic conduction. High-temperature X-ray diffraction revealed no significant differences in lattice constant between films and bulk electrodes, and X-ray photoelectron spectroscopy and X-ray absorption spectroscopy indicated no changes in electronic structure. However, scanning transmission electron microscopy/energy dispersive X-ray spectroscopy revealed the presence of Co3O4 formation within the film, suggesting local compositional variations. Therefore, the results indicate that local compositional differences are the most likely factor affecting δ in LSCF films.

Colloidal Magnetoelectric Shape Recognition Based on Machine Learning

Functionalized particles ranging from nanoscale to microscale and their assemblies have facilitated a wide variety of sensing concepts, from molecular‐scale chemical and biological detection to large‐scale engineering defect testing. Related to macroscopic object shape sensing, visual recognition is generally the most versatile approach whenever possible. However, under certain conditions where visual perception is hindered, for example, dark space or underwater, electrosensing can serve as an alternative sensation manner. Inspired by this concept, the sensing of rudimentary object shapes using electrically conductive, soft ferromagnetic Ni particles is demonstrated, herein denoted as colloidal magnetoelectric shape recognition. By confining the target and sensory particles between two planar electrodes and using a magnetic field to drive the particles toward object edges, changes in electrical conductivity are monitored. Machine learning is then used to resolve the exact object shapes with high fidelity. This study introduces a colloidal magnetoelectric shape recognition strategy for short‐range shape sensing, with potential applications suggested for the fields such as soft robotics, drug delivery, and biomedical diagnostics.

Solute excretion improves trehalose uptake and desiccation tolerance of Metarhizium brunneum blastospores

In this study, a novel approach was developed to increase the intracellular trehalose concentration in M. brunneum blastospores by uptake from the medium, improving their desiccation tolerance. Briefly, placing the blastospores in a hypotonic environment induced solute excretion, allowing significantly increased trehalose uptake during subsequent trehalose treatment. Conductivity changes and GC–MS analysis revealed that glycerol and lactate excretion is triggered in a hypotonic NaCl solution. After hypotonic + trehalose treatment, intracellular glycerol, lactate, and glucose levels increased, while other desiccation-protective solutes remained unaffected. A fluorescence-based single-cell analysis of membrane stress and death during osmotic desiccation and rehydration showed that membrane stress and cell death were strongly amplified upon rehydration. Trehalose treatment reduced this amplification, while hypotonic + trehalose treatment minimised cell death and prevented a stress response during rehydration, though it increased membrane stress during desiccation. Newly formed germ tubes were identified as critical points of membrane failure during desiccation. Ultimately, the drying survival of blastospores was significantly improved by the hypotonic + trehalose treatment compared to untreated or trehalose-only-treated blastospores. In summary, this technique successfully enhanced blastospore desiccation tolerance and could be adapted to load cells with other solutes.Graphical

Screening of Coulombic Interactions To Achieve a Higher Power Factor in Conjugated Polymers.

Thermoelectric properties of conducting polymers typically suffer from molecular chain disordering, as charge transport is predominantly controlled by morphology. This is especially more problematic when counterions are introduced to tune the carrier concentration for optimal thermoelectric performance, which disturbs the morphology further. In this work, we introduce a new avenue for enhancing thermoelectric properties without needing to regulate the morphology, namely, by controlling the coulombic interaction between polarons and counterions. We perform in situ de-doping thermoelectric experiments over 3 orders of magnitude change in electrical conductivity of three distinct thermoelectric polymers, namely, poly(3-hexylthiophene-2,5-diyl) (P3HT), poly[2,5-bis(3-dodecylthiophen-2-yl)thieno[3,2-b]thiophene] (PBTTT-C12), and poly[2,5-(2-octyldodecyl)-3,6-diketopyrrolopyrrole-alt-5,5-(2,5-di(thien-2-yl)thieno[3,2-b]thiophene)] (OD-PDPP2T-TT) conjugated polymers, followed by grazing-incidence wide-angle X-ray scattering (GIWAXS) to study their respective morphologies. We demonstrate a 9-fold enhancement in the thermoelectric power factor in OD-PDPP2T-TT compared to PBTTT-C12 and link it to the coulombic screening of charge carriers, including in the optimally doped regime. We support this hypothesis using Boltzmann transport equations and show that, in both P3HT and PBTTT-C12, as the polymer is doped, impurity scattering remains the dominant scattering mechanism, while in OD-PDPP2T-TT, the scattering mechanism changes from impurity to acoustic phonon limited, resulting in more effective screening of ionized counterions. Our results provide an additional knob to enhance the fundamental understanding of thermoelectric physics of conducting polymers and provide a pathway to achieve higher performance in the field of organic thermoelectrics.

Study of Seepage Laws of Deep Rock Mass Under Different Water Temperatures Based on Porous Media

Deep coal mining is faced with high temperature, high seepage pressure, and high ground stress, and there is a complex nonlinear coupling relationship between the temperature of water in deep rock mass and its seepage. Based on the background of deep mining in Zhaolou Coal Mine in Shandong Province, China, the hydraulic conductivity of artificial rock samples with similar materials was tested indoors under different water temperatures of 30~80 °C. On the basis of deep rock samples collected in the field, the hydraulic conductivity has a nonlinear positive correlation with the rise of water temperature. The difference in hydraulic conductivity at the highest and lowest temperatures is two to three times. By means of multi-physics coupling finite element software (COMSOL Multiphysics, COMSOL Inc., Stockholm, Sweden), combined with the actual geological background, the regularity was found to be consistent with the laboratory experiment and further proves that the inlet pressure has no effect on the hydraulic conductivity. Subsequent analyses revealed that the influence of temperature on the seepage field is mainly reflected in the change of fluid kinematic viscosity with temperature, which causes the change in the hydraulic conductivity. According to the formula, the hydraulic conductivity of the rock at 80 °C is 2.31 times higher than its hydraulic conductivity at 30 °C, which is matched by the indoor test results. The engineering performance is that as the temperature of the deep rock body increases, the ability of water to penetrate rocks increases, and the water inflow of the working face increases. The results can be applied to the prevention of water hazard threats in deep coal mining.

LPG gas sensing performance of the SnO2 thin films influenced by the dielectric and conducting properties

This study presents a comprehensive investigation of the dielectric properties and DC conductivity of three tin (IV) oxide (SnO2) thin films with varying thicknesses 30 nm, 90 nm, and 150 nm and explores their influence on gas sensing performance. The gas sensing response of the three SnO2 sensor structures were evaluated for detecting 300 ppm of liquefied petroleum gas (LPG). X-ray diffraction (XRD) and atomic force microscopy (AFM) were used to study the structural and morphological properties of SnO2 thin films. The results of these studies were subsequently correlated to achieve a deeper insight into the gas sensing phenomenon. The dielectric analysis revealed that the SnO2 thin film of 90 nm thickness exhibited the lowest value of dielectric constant ε′(ω), measuring 2.7 at 1 kHz. To gain deeper insights, the capacitance (Cp) of the 90 nm SnO2 thin film was analyzed across a frequency range from 100 Hz to 1 MHz. Pronounced frequency dispersion was observed at elevated temperatures, which was attributed to the presence of a surface barrier. The DC conductivity (σdc) of all the SnO2 thin films was found to be relatively low, approximately 1.7 × 10⁻⁷ Ω⁻1 cm⁻1. The decreased conductivity indicates a high concentration of adsorbed oxygen on the surface and grain boundaries, which traps free electrons and lowers the number of charge carriers. Such characteristics are significant for gas sensing applications, as they can enhance the sensitivity of the sensor by facilitating a pronounced change in conductivity upon exposure to target gases.

Cellulose-based poly(ionic liquid)s: Correlations between degree of substitution and alkyl side chain length with conductive and morphological properties.

Ion transport in solid polymer electrolytes is crucial for applications like energy conversion and storage, as well as carbon dioxide capture. However, most of the materials studied in this area are petroleum-based. Natural materials (biopolymers) have the potential to act as alternatives to petroleum-based products and, when derived with ionic liquid (IL) functionalities, present a sustainable alternative for conductive materials by offering tunable morphological, thermal, and mechanical properties. In this study, a series of IL-functionalized cellulose derivatives with variations in pendant alkyl chain length, counteranions, and degrees of substitution were synthesized in order to explore structure-property relationships. Emphasis was placed on investigating morphological, thermal, and ionic conductivity changes, hypothesizing that materials synthesized with longer alkyl chains would exhibit increased backbone-to-backbone spacing, thereby lowering the glass transition temperature, and enhancing ionic conductivity. A variety of characterization techniques were used for this investigation, including nuclear magnetic resonance spectroscopy (NMR), elemental analysis, Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), X-ray scattering, and dielectric relaxation spectroscopy (DRS). The findings reveal a link between longer alkyl chain lengths, expanded backbone-backbone spacing, and side chain interdigitation. Within each set of samples, heightened ionic conductivity was observed with the introduction of bulkier, less coordinating anions, underscoring the significant influence of counteranion size.

Comparative effects of direct plasma treatment and plasma-activated media on B16F10 cancer cells using a multipoint surface dielectric barrier discharge system

Abstract Cancer remains a leading cause of mortality worldwide, necessitating novel, effective, and selective therapies. Cold Atmospheric Plasma (CAP) generates reactive species that can selectively kill tumor cells while sparing healthy tissue. We developed a multipoint Surface Dielectric Barrier Discharge (SDBD) plasma system capable of simultaneously treating all wells in a 24-well plate, enhancing experimental throughput and consistency. We investigated both direct plasma treatment and indirect effects via plasma-activated media (PAM) on the viability of B16F10 melanoma cells and L929 fibroblasts. Characterizations confirmed uniform plasma generation and safe operating temperatures suitable for cell applications. Physicochemical analyses of PAMs showed time-dependent changes in pH, oxidation-reduction potential, and conductivity, indicating the generation of reactive species like nitrite, nitrate, and hydrogen peroxide. Cytotoxicity assays demonstrated that both direct plasma treatment and PAM significantly reduced melanoma cell viability, with direct treatment causing a more pronounced effect. After 3 minutes of direct exposure, melanoma cell viability decreased to approximately 30% after 24 hours and further to 13% after 48 hours. In contrast, healthy L929 fibroblasts remained largely unaffected under both treatment conditions. These results suggest that both short-lived and long-lived reactive species contribute to the selective cytotoxic effects observed in cancer cells. The multipoint SDBD plasma system shows potential as a selective anticancer treatment modality, effective through both direct plasma exposure and the application of PAM, offering a promising avenue for future cancer therapies.

Engineering Spin Interaction Channels of FePc on Au(111).

We demonstrate the reversible control of interactions between a local molecular spin, hosted within an iron phthalocyanine (FePc) molecule, and the conduction electrons of a supporting Au(111) surface. Using the tip of a scanning tunneling microscope, we deliberately and reversibly manipulate the adsorption configuration of the molecule relative to the underlying substrate lattice. Different rotation configurations lead to noticeable changes in the differential conductance measured on the FePc molecules. In one configuration, a Kondo resonance is observed, while in others, spin excitations are revealed. To further explore the impact of the local environment, we designed a series of molecular assemblies in which neighboring molecules surrounding the target molecule are incrementally increased. In this structured approach, we observed a step-by-step transition of the spin excitation state to a Kondo resonance, ultimately resulting in a pure Kondo feature.

Nanoparticle-Mediated Ion Absorption in Subsurface Water Chemistry: A Multifaceted Analysis of Bentonite-Induced Conductivity Changes

Nanoparticle-Mediated Ion Absorption in Subsurface Water Chemistry: A Multifaceted Analysis of Bentonite-Induced Conductivity Changes

Amorphous Ga2O3 Semiconductor: A New Solution for Robust X‐Ray Dosimeters

AbstractAs most commonly used miniature solid‐state dosimeter, metal‐oxide‐semiconductor field effect transistors (MOSFETs) have been facing unavoidable gate leakage and robustness problems due to the double‐sided role of traps in oxide insulators. Herein, a new solution for X‐ray dosimeter has been proposed which leverages the conductivity change of amorphous Ga2O3 (a‐Ga2O3) channel instead of charge trapping in oxide insulators. Increasingly negatively‐shifted threshold voltage (Vth) of a‐Ga2O3 thin‐film transistor is recorded together with almost unchanged subthreshold swing (SS) and field‐effect mobility (µFE) after X‐ray irradiations. X‐ray‐induced‐variation of oxygen vacancy (VO) related defects in a‐Ga2O3 is revealed after a combined investigation of X‐ray photoelectron spectroscopy (XPS) and neutron reflectivity (NR) measurements, contributing to the indicative Vth shift related with X‐ray dosage. A functional recovery is realized through an annealing process in air condition, showing the high reliability of a‐Ga2O3 semiconductor. Moreover, the unique merit of no need for power supply during X‐ray irradiations, beneficial from the slow neutralization rate of ionized VO related defects, imparts an offline working capability to the dosimeter. This work provides a potential strategy to monitor X‐ray dosage via utilizing the X‐ray‐induced change of amorphous oxide semiconductor conductivity, hence addressing the reliability and repeatability issues in present MOSFET devices.

Thermally Conductive Shape-Stabilized Phase Change Materials Enabled by Paraffin Wax and Nanoporous Structural Expanded Graphite.

Paraffin wax (PW) has significant potential for spacecraft thermal management, but low thermal conductivity and leakage issues make it no longer sufficient for the requirements of evolving spacecraft thermal control systems. Although free-state expanded graphite (EG) as a thermal conductivity enhancer can ameliorate the above problems, it remains challenging to achieve higher thermal conductivity (K) (>8 W/(m·K)) at filler contents below 10 wt.% and to mitigate the leakage problem. Two preparations of thermally conductive shape-stabilized PW/EG composites, using the pressure-induced method and prefabricated skeleton method, were designed in this paper. The expanded graphite formed a nanoscale porous structure by different methods, which enhanced the capillary action between the graphite flake layers, improved the adsorption and encapsulation of EG, and alleviated the leakage problem. The thermal conductivity and the latent heat of the phase-change materials (PCM) prepared by the two methods mentioned above are 9.99 W/(m·K), 10.70 W/(m·K) and 240.06 J/g, 231.67 J/g, respectively, at EG loading by 10 wt.%, and the residual mass fraction was greater than 99% after 50 cycles of high and low temperature. In addition, due to the excellent thermal management capability of PW/EG, the operating temperature of electronic components can be stably maintained at 68-71 °C for about 15 min and the peak temperature can be reduced by at least 23 °C when the heating power of the electronic components is 10 w. These provide novel and cost-effective methods to further improve the management capability of spacecraft thermal control systems.

Research on the Sensitivity Enhancement Method of Inductive Conductivity Sensors Based on Impedance Matching.

This paper presents the design and performance evaluation of an inductive conductivity sensor with a double tuning impedance matching network to enhance sensitivity and improve linearity. The sensor's equivalent circuit model is analyzed and verified through simulation, and impedance matching is shown to significantly increase the sensor's output signal, particularly at low conductivity measurements. Double tuning impedance matching expands the frequency response range and optimizes power transfer efficiency, achieving a higher power factor across a broader frequency range. Experimental results confirm that the sensor's sensitivity increases by approximately 30% after impedance matching with optimal performance at a frequency of 9865 Hz. Furthermore, while the impedance matching improves sensitivity, it also introduces some nonlinear errors, which are evaluated using a performance function that balances sensitivity and linearity. The results demonstrate that impedance matching enhances the sensor's measurement capability, making it more effective in practical applications where conductivity changes need to be accurately monitored across varying frequencies.

Control of Silver Micro-Flakes Sintering and Connection Properties of Epoxy-Based Conductive Adhesives by the Effectiveness of Binder Chemistry.

Bonding materials with high thermal and electrical conductivity and reliable resistance to thermal stress are required. The authors have been conducting fundamental research on sintering-type bonding, in which metal micro-fillers are low-temperature sintered in the resin-bonded type electrically conductive adhesives (ECAs), as a new bonding technology, with the aim of easing thermal stress through the resin binder. This study investigated the influence of the kind of additive diluent in epoxy-based ECAs containing silver (Ag) micro-flakes on the microstructure development in the adhesives and the connection properties to metal electrodes. As a result, the sintering of Ag micro-flakes was observed to proceed in the adhesive once cured at 150 °C and by post-annealing at 250 °C. Furthermore, the sintering behavior varied greatly depending on the kind and composition of the binder additive diluent, with corresponding changes in electrical conductivity and connection characteristics with metal electrodes. Additionally, electrode surface conditions affected the connection performance. These findings are valuable for designing sintering-type bonding using resin-bonded ECAs, optimizing interfacial interactions between binder chemicals and metals.

Capacitance Measurements of Exocytosis From AII Amacrine Cells in Retinal Slices.

During neuronal synaptic transmission, theexocytotic release of neurotransmitters from synaptic vesicles in the presynaptic neuron evokes a change in conductance for one or more types of ligand-gated ion channels in the postsynaptic neuron. The standard method of investigation uses electrophysiological recordings of the postsynaptic response. However, electrophysiological recordings can directly quantify the presynaptic release of neurotransmitters with high temporal resolution by measuring the membrane capacitance before and after exocytosis, as fusion of the membrane of presynaptic vesicles with the plasma membrane increases the total capacitance. While the standard technique for capacitance measurement assumes that the presynaptic cell is unbranched and can be represented as a simple resistance-capacitance (RC) circuit, neuronal exocytosis typically occurs at a distance from the soma. Even in such cases, however, it can be possible to detect a depolarization-evoked increase in capacitance. Here, we provide a detailed, step-by-step protocol that describes how "Sine + DC" (direct current) capacitance measurements can quantify the exocytotic release of neurotransmitters from AII amacrine cells in rat retinal slices. The AII is an important inhibitory interneuron of the mammalian retina that plays an important role in integrating rod and cone pathway signals. AII amacrines release glycine from their presynaptic dendrites, and capacitance measurements have been important for understanding the release properties of these dendrites. When the goal is to directly quantify the presynaptic release, there is currently no other competing method available. This protocol includes procedures for measuring depolarization-evoked exocytosis, using both standard square-wave pulses, arbitrary stimulus waveforms, and synaptic input. Key features • Quantification of exocytosis with the Sine + DC technique for visually targeted AII amacrines in retinal slices, using voltage-clamp and whole-cell patch-clamp recording. • Because exocytosis occurs away from the somatic recording electrode, the sine wave frequency must be lower than for the standard Sine + DC technique. • Because AII amacrines are electrically coupled, the sine wave frequency must be sufficiently high to avoid interference from other cells in the electrically coupled network. • The protocol includes procedures for measuring depolarization-evoked exocytosis using standard square-wave pulses, stimulation with arbitrary and prerecorded stimulus waveforms, and activation of synaptic inputs.

INVITED REVIEW: Recent developments in understanding the rehydration characteristics of high-protein dairy powders.

The use of dairy-based ingredients is increasingly prominent in the food industry due to their functional and nutritional benefits. High-protein powders are highly attractive due to their superior nutritional (e.g., high protein, calcium) and functional benefits (e.g., gelation, emulsification, foaming). Complete rehydration is essential for achieving optimum functionalities. However, poor wettability, slower rehydration, and the presence of insoluble particles are observed in high-protein dairy powders, especially in casein-rich powders, such as milk protein concentrate and micellar casein concentrate. The low solubility of these powders can cause processing difficulties, such as clogged filters and processing lines, leading to a loss of nutritional and functional properties and increased operating costs. Therefore, it is crucial to measure rehydration characteristics before application. Characterizing the different phases of rehydration helps in identifying the rate-limiting stages and strategies to improve them. Various methods for measuring each rehydration stage are discussed in detail in this review. Methods based on changes in conductivity, turbidity, particle size, and rheological properties during powder reconstitution are examined. Various imaging techniques, ultrasound-based methods, and nuclear magnetic resonance techniques that have been used for characterizing rehydration behavior are also elaborated upon here. Apart from these techniques, the methods suitable for in-line application in the industry are also mentioned. In addition to dairy powders, the rehydration of infant formula is discussed. The rehydration of infant formula is important for ease of end-user application and for delivering proper nutritional values. This review discusses common methods such as the insolubility index and wetting time, as well as some newer techniques based on focused beam reflectance measurement, electric resistance tomography, and Lumisizer. Overall, this review elucidates the existing industrial methods and recently developed techniques for characterizing rehydration, their applicability for inline measurement, and their advantages and disadvantages.

Recent progress of gas sensors based on perovskites.

Gas sensors convert gas-related information into usable data by monitoring changes in conductivity and chemical reactions resulting from the adsorption of gas molecules. Recently, perovskites have emerged as promising candidate materials for gas sensors, owing to their polar reactivity, chemical responsiveness, and sensitivity. These characteristics enable the detection of the presence and concentration of various gases. This article provides a concise review of recent advancements in perovskite-based gas sensors. First, the chemical composition, structure, and preparation methods of perovskites, as well as the effects of their structure on gas sensing performance, are examined. The key performance parameters of the sensor and the sensing mechanism of the perovskite-based gas sensor are discussed. Then the development of gas sensors based on different structural types of perovskites, including single-component perovskites, mixed-component perovskites, and metal-oxide perovskites, is discussed. Finally, the challenges and opportunities for gas sensors based on perovskites are summarized and prospected.

Ion current oscillation of polyelectrolyte modified micropipettes.

Here, we report for the first time that ion current oscillation (ICO) with periodic amplitude and frequency can autonomously occur at polyimidazole brush (PvimB) modified pipettes in an asymmetric solution with a pH gradient (e.g. pH 6.0/pH 8.0). Experimental results demonstrated that under a strong bias voltage, the proton responsive PvimB-modified pipettes exhibited significant current switching behavior under negative bias voltages, which contributed to the periodic oscillating ion current under constant biases. Based on this dynamic, the frequency and amplitude of the ICO phenomenon were regulated by adjusting the pH gradient in the asymmetric solution. ICOs under different bias voltages were further explored to show the voltage-dependent nature of this phenomenon. This observation of ICO phenomena offers a new strategy for designing iontronic devices with dynamic conductivity changes induced by surface chemical interactions within spatial confinements.

A New Capillary and Adsorption‒Force Model Predicting Hydraulic Conductivity of Soil During Freeze‒thaw Processes

AbstractUnderstanding the change in soil hydraulic conductivity with temperature is key to predicting groundwater flow and solute transport in cold regions. The most commonly used models for hydraulic conductivity during freeze‒thaw cycles only consider the flow of capillary water in the soil and neglect water flowing along thin films around the particle surface. This paper proposed a new hydraulic conductivity model of frozen soil via the Clausius–Clapeyron equation based on an unsaturated soil hydraulic conductivity model over the entire moisture range using an analogy between freeze‒thaw and dry‒wet processes in soils. The new model used a single equation to describe the conductivity behaviors resulting from both capillary and adsorption forces, thus accounting for the effect of both capillary water and thin liquid film around soil. By comparison with other existing models, the results demonstrated that the new model is applicable to various types of soils and that the predicted hydraulic conductivity is in the highest agreement with the observed data, while reducing the root mean square error by 38.9% compared to the van Genuchten–Mualem model. Finally, our new model was validated with thermal–hydrological benchmark problem and laboratory experiment result. The benchmark results indicated that the advective heat transfer was more significant, and the phase change was completed earlier when considering both capillary and adsorption forces than when only considering capillary forces. Furthermore, the coupled flow–heat model with the new hydraulic conductivity expression replicated well the results from a laboratory column experiment.