Nanoscale Physics Research Articles

Proficient Quantum-Dot Cellular Automata Based XOR Gate Layout Generator for Image Processing Applications

The Conservative lithography-based VLSI technology has been able to increase processing power and achieve proportionate scaling in feature size. However, present work expose that deterioration of these devices (as a result of vital physical confines of CMOS technology) will head to undesirable consequences such as doping fluctuations, power dissipation, short channel effects and electro-migration failures. These repercussions will cause a decline in a number of parameters, including diffusion barriers, off-state leakage, gate depletion, switching performance, and stray capacitances. Furthermore, it is predicted that the 7 nm channel dimension will mark the conclusion of the CMOS technology’s growth process. In order to replace conventional CMOS technology in the near future, extensive nanoscale research has been conducted in recent years. The CMOS technologies can function at frequencies of Tera-Hertz and can attain a consistency of 10 devices/cm2. However, the current strategy of reducing transistor count while maintaining the same design quality may soon be insufficient to overcome the commercial, architectural, and physical barriers. A novel technology that harnesses the advantages of nanoscale physics will have to replace the MOS transistor. A plethora of cutting-edge technologies, such as spin transistors, resonant tunnelling diodes (RTDs), carbon nanotubes (CNTs), and single electron transistors (SETs), are being investigated as potential replacements for conventional CMOS technology. Because nanotechnology has unique features that increase at such small feature sizes, it opens up new computational possibilities. When creating ultra-deep submicron circuits and getting around CMOSs limitations, quantum-dot Cellular Automata (QCA) is a nanotechnology that can take the place of CMOS. It is created on various scientific facts, including Effective QCA Designs and Their Applications. The proposed XOR Gate are compared with existing designs in terms of number of cells area and clock cycles. The proposed design is purely logical, fast and occupies ultra-less area.

Scaling of piezoelectric in-plane NEMS: Towards nanoscale integration of AlN-based transducer on vertical sidewalls

One of the key advantages of Piezoelectric MEMS (PiezoMEMS) is its scalability, overcoming issues commonly associated with alternative transduction methods. However, the breadth and depth of studies on scaling the fabrication process from PiezoMEMS to NEMS (Nano-Electro-Mechanical Systems) remain limited. Effective MEMS miniaturization not only improves energy efficiency and surface area reduction but also enables the coupling of nanoscale physics, particularly Casimir Forces, with the NEMS design, device operation, and fabrication opportunities. Here, combined with the finite element method (FEM) modeling, the experimental aluminum nitride (AlN) nanotransducer fabrication is performed to address the fabrication challenges with beam-based in-plane nanostructures and to develop the piezoelectric NEMS design utilizing a controllable stiction behavior. The FEM modeling demonstrates that the designed structure featuring a 220 nm thick silicon (Si) beam with AlN layers located on vertical sidewalls exhibits controllable jump-to-contact and jump-off-contact behaviors. Based on modeling results, a complete piezoelectric sidewall transducer structure is fabricated. The final transducer represents a patterned Si nanobeam with the Molybdenum-AlN-Aluminum transducer located on the vertical sidewalls. The presented findings not only open new opportunities in the piezoelectric MEMS scaling but also establish a platform for the design of innovative “more-than-a-Moore” devices, such as in-plane mechanical latching switches.

Quantum-informed plasmonics for strong coupling: the role of electron spill-out

The effect of nonlocality on the optical response of metals lies at the forefront of research in nanoscale physics and, in particular, quantum plasmonics. In alkali metals, nonlocality manifests predominantly as electron density spill-out at the metal boundary, and as surface-enabled Landau damping. For an accurate description of plasmonic modes, these effects need be taken into account in the theoretical modeling of the material. The resulting modal frequency shifts and broadening become particularly relevant when dealing with the strong interaction between plasmons and excitons, where hybrid modes emerge and the way they are affected can reflect modifications of the coupling strength. Both nonlocal phenomena can be incorporated in the classical local theory by applying a surface-response formalism embodied by the Feibelman parameters. Here, we implement local surface-response corrections in Mie theory to study the optical response of spherical plasmonic–excitonic composites in core–shell configurations. We investigate sodium, a jellium metal dominated by spill-out, for which it has been anticipated that nonlocal corrections should lead to an observable change in the coupling strength, appearing as a modification of the width of the mode splitting. We show that, contrary to expectations, the influence of nonlocality on the anticrossing is minimal, thus validating the accuracy of the local response approximation in strong-coupling photonics.

Editorial

Represent the Organizing Committee of The 1st International Conference on Applied Physics and Mathematics (ICAPM2023). The conference was a great success providing appropriate platform to researchers, scholars and industry practitioners to share their work and experience on the Changsha, China in different sectors.In today’s era, the research and development of Applied Physics can be considered very valuable, it also has been a buzzword in recent times majorly in last few years. Almost every research and scholar is getting involved in this context to derive significant and tangible gains to the benefit of the society as a whole.And as we know, Applied Physics is generally considered to be composite because it contains several cross cutting core disciplines, such as Semiconductor Physics, Nanoscale physics, Electronics Design & Manufacturing and GIS/GPS Systems, etc. The basic concepts and technologies of these disciplines have been combined to form the basis of Applied Physics. These technologies can help people generate important insights to support further decisions. However, the application of Applied Physics is very challenging, which leads to the diversity of its development. Since the past few decades, Applied Physics has been one of the most interesting fields. It has recently become an inevitable part of our daily life by adding technology to solve practical problems.The 1st International Conference on Applied Physics and Mathematics (ICAPM2023) focuses on works that have been done for development of new technology or enhancement of the existing ones to make them applicable in diverse range of sectors and corresponding problems. We have received a good number of responses of around 65 papers from researchers, scholars and industry practitioners covering a wide range of application areas.According to their quality, degree of conformity with our topics and other indicators, we finally received 23 articles.We hope this proceeding will provide valuable insights and serve for new scholars interested to explore Applied physics, Application of applied physics and Mathmatics in various sectors.Editor:Xilong QuList of Committees are available in this Pdf.

Molecular dynamics calculations of the enthalpy of vaporization for different water models

Phase-change heat transfer processes involving water play a key role in numerous societal applications, such as electrical power generation, microelectronics cooling, or water desalination. Advanced computational tools, such as molecular dynamics (MD), are increasingly being used to simulate these processes, especially on nanostructured surfaces and in nanoparticle suspensions, to gain insight into the unique nanoscale physics at play. In these studies, it is critical to use models of the water molecule that yield accurate predictions of water’s thermophysical properties, particularly its enthalpy of vaporization. Here, we use MD to determine the enthalpy of vaporization (hfg) for six common water models and four different values of the cutoff radius (i.e., the intermolecular distance beyond which interactions are simplified or ignored). The most accurate prediction of hfg (within 2 % of the value tabulated by ASHRAE) comes from the TIP3P water model with a cutoff radius of 14 Å. We also conducted a preliminary study of the variation of hfg with pressure and found reasonable agreement between simulations and tabulated ASHRAE data (<7% error). This work provides physical insights into the sensitivity of the predicted macroscopic thermophysical properties of water to minute changes in the atomic-level properties and is expected to inform future MD-based studies of phase change processes of water, especially as they occur at elevated pressures and on nanostructured surfaces and in nanoconfined geometries.

Gas Microfilms in Droplet Dynamics: When Do Drops Bounce?

In the last ten years, advances in experimental techniques have enabled remarkable discoveries of how the dynamics of thin gas films can profoundly influence the behavior of liquid droplets. Drops impacting onto solids can skate on a film of air so that they bounce off solids. For drop–drop collisions, this effect, which prevents coalescence, has been long recognized. Notably, the precise physical mechanisms governing these phenomena have been a topic of intense debate, leading to a synergistic interplay of experimental, theoretical, and computational approaches. This review attempts to synthesize our knowledge of when and how drops bounce, with a focus on ( a) the unconventional microscale and nanoscale physics required to predict transitions to/from merging and ( b) the development of computational models. This naturally leads to the exploration of an array of other topics, such as the Leidenfrost effect and dynamic wetting, in which gas films also play a prominent role.

AFM SMILER: A Scale Model Interactive Learning Extended Reality Toolkit for Atomic Force Microscopy Created With Digital Twin Technology

The Atomic Force Microscope (AFM) is a precision mechatronic system for nanoscale imaging of surfaces. Due to limited instrument access and lack of visualization techniques, understanding its principles can be challenging. Digital twin technology allows the creation of virtual representations of physical systems, which can be particularly useful to address challenges in AFM education. To realistically simulate nanoscale physics, we first developed new efficient algorithms for four virtual scale models, including cantilever mechanics, probe transducers, controller tuning, and contact mechanics. Second, three simulated experiment interactive learning modules are developed for instrument operation, including virtual imaging, system overview, and imaging modalities. In the end, three hardware systems are integrated for an extended reality experience, including a macroscopic AFM scale model, a haptic device for probe-sample interaction force feedback, and an upgraded low-cost educational AFM for nanoscale imaging and instrumentation. This completes the eight total modules for the AFM SMILER: A scale model interactive learning extended reality toolkit. Preliminary studies show the toolkit being helpful for AFM education. In addition to mechatronics and nanotechnology education, techniques developed in this work can be generally applied to computationally efficient realistic digital twin creation.

Local symmetry breaking drives picosecond spin domain formation in polycrystalline halide perovskite films.

Photoinduced spin-charge interconversion in semiconductors with spin-orbit coupling could provide a route to optically addressable spintronics without the use of external magnetic fields. However, in structurally disordered polycrystalline semiconductors, which are being widely explored for device applications, the presence and role of spin-associated charge currents remains unclear. Here, using femtosecond circular-polarization-resolved pump-probe microscopy on polycrystalline halide perovskite thin films, we observe the photoinduced ultrafast formation of spin domains on the micrometre scale formed through lateral spin currents. Micrometre-scale variations in the intensity of optical second-harmonic generation and vertical piezoresponse suggest that the spin-domain formation is driven by the presence of strong local inversion symmetry breaking via structural disorder. We propose that this leads to spatially varying Rashba-like spin textures that drive spin-momentum-locked currents, leading to local spin accumulation. Ultrafast spin-domain formation in polycrystalline halide perovskite films provides an optically addressable platform for nanoscale spin-device physics.

A Fiber-Coupled Scanning Magnetometer with Nitrogen-Vacancy Spins in a Diamond Nanobeam.

Magnetic imaging with nitrogen-vacancy (NV) spins in diamond is becoming an established tool for studying nanoscale physics in condensed matter systems. However, the optical access required for NV spin readout remains an important hurdle for operation in challenging environments such as millikelvin cryostats or biological systems. Here, we demonstrate a scanning-NV sensor consisting of a diamond nanobeam that is optically coupled to a tapered optical fiber. This nanobeam sensor combines a natural scanning-probe geometry with high-efficiency through-fiber optical excitation and readout of the NV spins. We demonstrate through-fiber optically interrogated electron spin resonance and proof-of-principle magnetometry operation by imaging spin waves in an yttrium-iron-garnet thin film. Our scanning-nanobeam sensor can be combined with nanophotonic structuring to control the light-matter interaction strength and has potential for applications that benefit from all-fiber sensor access, such as millikelvin systems.

High-temperature silicon carbide material with wicking and evaporative cooling functionalities fabricated by femtosecond laser surface nano/microstructuring

A multifunctional silicon carbide (6H–SiC) material with efficient wicking and evaporative cooling performances in a temperature range of 23–180 °C is created through hierarchical surface nano/microstructuring by a femtosecond laser. The elaborated hierarchical surface structure is an array of nanotextured microgrooves that includes structural features in a range between about 15 nm and 140 μm, integrating benefits from micro- and nanoscale physics of capillarity and thermodynamics. The spatiotemporal dynamics of both water spreading and temperature field obtained by optical and infrared imaging show the excellent wicking and evaporative cooling functionalities of the created material. The range of applications of the developed multifunctional 6H–SiC material includes the technologies for enhancing power generation efficiency, waste heat recovery, and cooling high-heat-flux Si- and SiC-based electronic devices. The application of the created material in cooling technologies for power generation can result in substantial fuel savings and global reduction in greenhouse gas emissions.

Probing Surfactant Bilayer Interactions by Tracking Optically Trapped Single Nanoparticles

AbstractSingle‐particle tracking and optical tweezers are powerful techniques for studying diverse processes at the microscopic scale. The stochastic behavior of a microscopic particle contains information about its interaction with surrounding molecules, and an optical tweezer can further facilitate this observation with its ability to constrain the particle to an area of interest. Although these techniques found their initial applications in biology, they can also shed new light on microscopic interface phenomena by unveiling nanoscale morphologies and molecular‐level interactions in real time, which are obscured in traditional ensemble analysis. Here, the application of single‐particle tracking and optical tweezers are demonstrated for studying molecular interactions at solid–liquid interfaces. Specifically, the surfactant behaviors at the water–glass interface are investigated by tracing gold nanoparticles that are optically trapped on these molecules. The underlying mechanisms governing the particle motion, which can be explained by hydrophobic interactions, disruptions, and rearrangements among surfactant monomers at the interfaces, are discovered. These interpretations are further supported by statistical analysis of an individual trajectory and comparison with theoretical predictions. The findings provide new insights into the surfactant dynamics and also illustrate the promise of single‐particle tracking and optical manipulation for studying nanoscale physics and chemistry of surfaces and interfaces.

Nano-scale simulation of neuronal damage by galactic cosmic rays

The effects of realistic, deep space radiation environments on neuronal function remain largely unexplored. In silico modeling studies of radiation-induced neuronal damage provide important quantitative information about physico-chemical processes that are not directly accessible through radiobiological experiments. Here, we present the first nano-scale computational analysis of broad-spectrum galactic cosmic ray irradiation in a realistic neuron geometry. We constructed thousands of in silico realizations of a CA1 pyramidal neuron, each with over 3500 stochastically generated dendritic spines. We simulated the entire 33 ion-energy beam spectrum currently in use at the NASA Space Radiation Laboratory galactic cosmic ray simulator (GCRSim) using the TOol for PArticle Simulation (TOPAS) and TOPAS-nBio Monte Carlo-based track structure simulation toolkits. We then assessed the resulting nano-scale dosimetry, physics processes, and fluence patterns. Additional comparisons were made to a simplified 6 ion-energy spectrum (SimGCRSim) also used in NASA experiments. For a neuronal absorbed dose of 0.5 Gy GCRSim, we report an average of 250 ± 10 ionizations per micrometer of dendritic length, and an additional 50 ± 10, 7 ± 2, and 4 ± 2 ionizations per mushroom, thin, and stubby spine, respectively. We show that neuronal energy deposition by proton and -particle tracks declines approximately hyperbolically with increasing primary particle energy at mission-relevant energies. We demonstrate an inverted exponential relationship between dendritic segment irradiation probability and neuronal absorbed dose for each ion-energy beam. We also find that there are no significant differences in the average physical responses between the GCRSim and SimGCRSim spectra. To our knowledge, this is the first nano-scale simulation study of a realistic neuron geometry using the GCRSim and SimGCRSim spectra. These results may be used as inputs to theoretical models, aid in the interpretation of experimental results, and help guide future study designs.

Time-Resolved Dynamic Crystallization at Liquid/Vapor Interface

We report the behavior of nanodroplets containing aqueous NaOH solutions of different concentrations, visualized using transmission electron microscopy (TEM). Under e-beam irradiation, highly charged aqueous NaOH droplets dewet with edge crystallization before erupting into satellite nanodroplets. For the first time, we observe dynamic nanocrystal precipitation from nanodroplet followed by redissolution in a periodic manner. Time-resolved images show that the crystalline precipitates occur predominantly in two distinct geometric shapes─hexagonal and square. Through structural, elemental, and morphological analyses, we deduce that the crystalline precipitate is monohydrate NaOH·H2O, whose orthorhombic structure forms the underlying basis for the evolved crystalline shapes. Through numerical simulations, we show how the observed preferential orientation of the crystal precipitate depends on crystal morphology and relative droplet–crystal size, but not on electrical forces, which govern droplet deformations. Together, our results reveal strong dynamics at the interface, including ionic chemistry, nanoscale physics, and hydrodynamics.

Correlative atom probe tomography and optical spectroscopy: An original gateway to materials science and nanoscale physics

Atom probe tomography (APT) correlated with optical spectroscopy has yielded original results in the domain of semiconductor nanoscale heterostructures. Statistical correlation (i.e., microscopy correlated with spectroscopy performed on macroscopic samples) has opened the way to a deeper understanding of carrier localization and recombination mechanisms in quantum-well systems. However, photoluminescence spectroscopy (PL) can be performed even on APT samples fabricated by focused ion beam, making it possible to perform sequential correlations on a single nanoscale object, which allows for a higher precision and accuracy. Finally, the laser pulse used for triggering the evaporation in laser-assisted APT can also generate a photoluminescence signal: this opportunity is exploited in the photonic atom probe. This instrument not only represents an original and effective way to perform in situ correlative microscopy, but also opens the way to study nanoscale physical phenomena driven by field, stress, or sample shape via the interpretation of the dynamically acquired APT and PL information.Graphical abstract

Research work in the Microscope-based Nanoscale Physics Lab

Assistant Professor Sangmin An is head of the Microscope-based Nanoscale Physics Laboratory (MNPL), Jeonbuk National University, South Korea. He and his team are using atomic force microscope (AFM)-based technology as the basis of their work to make advances in materials science on the atomic and molecular levels. The researchers are combining their AFM-based technology with the scanning tunnelling microscope (STM), Raman spectroscopy systems and scanning electron microscope (SEM). Using this variety of techniques is enabling the team to drive progress in their field and also assisting with advances in semiconductor technology, including improving surface roughness measurement technology, which directly impacts consumer electronics. An and the team are also focused on nanoscale 3D printing with a view to overcoming limitations associated with the resolution of 3D printing. The researchers have fabricated nanopipettes through laser irradiation of perforated glass or quartz using a mechanical puller. The nanopipettes are then attached to a crystal oscillator to enable 3D printing at the nanoscale. The team has developed a process in which physical properties of materials can be measured directly using AFM + in situ Raman spectroscopy. By combining AFM-based nanoscale 3D printing technology and optical apparatus, it is possible to measure the physical, electrical, chemical, and optical properties of target materials. An and the team are also performing investigations related to Kelvin probe force microscope (KPFM) and friction measurement, as well as improving AFM technology for AFM and quartz tuning fork AFM (QTF-AFM) systems.

Modelling articular cartilage: the relative motion of two adjacent poroviscoelastic layers.

In skeletal joints two layers of adjacent cartilage are often in relative motion. The individual cartilage layers are often modelled as a poroviscoelastic material. To model the relative motion, noting the separation of scales between the pore level and the macroscale, a homogenization based on multiple scale asymptotic analysis has been used in this study to derive a macroscale model for the relative translation of two poroviscoelastic layers separated by a very thin layer of fluid. In particular the fluid layer thickness is essentially zero at the macroscale so that the two poroviscoelastic layers are effectively in contact and their interaction is captured in the derived model via a set of interfacial conditions, including a generalization of the Beavers-Joseph condition at the interface between a viscous fluid and a porous medium. In the simplifying context of a uniform geometry, constant fixed charge density, a Newtonian interstitial fluid and a viscoelastic scaffold, modelled via finite deformation theory, we present preliminary simulations that may be used to highlight predictions for how oscillatory relative movement of cartilage under load influences the peak force the cartilage experiences and the extent of the associated deformations. In addition to highlighting such cartilage mechanics, the systematic derivation of the macroscale models will enable the study of how nanoscale cartilage physics, such as the swelling pressure induced by fixed charges, manifests in cartilage mechanics at much higher lengthscales.

Evaluating Iodine-125 DNA Damage Benchmarks of Monte Carlo DNA Damage Models.

Simple SummarySimulation of initial radiation-induced DNA damage remains a major area of research, with numerous Monte Carlo models having been developed to model radiation effects on the cellular scale. While many models have been reasonably fit to a range of biological endpoints, there remains a lack of robust benchmarking data. Here, we investigate the application of a dataset on strand breaking in a single DNA strand through incorporation of radioactive Iodine-125 to distinguish between different Monte Carlo nanoscale physics models. We find that, while all models are able to effectively fit this data, they do so using significantly different best-fitting parameters and make substantially different predictions for other endpoints. These observations suggest that most nanoscale models broadly agree on the distribution of energy and can be made to fit to single datasets, but robust, multi-endpoint analysis is required to fully optimize and validate these approaches.A wide range of Monte Carlo models have been applied to predict yields of DNA damage based on nanoscale track structure calculations. While often similar on the macroscopic scale, these models frequently employ different assumptions which lead to significant differences in nanoscale dose deposition. However, the impact of these differences on key biological readouts remains unclear. A major challenge in this area is the lack of robust datasets which can be used to benchmark models, due to a lack of resolution at the base pair level required to deeply test nanoscale dose deposition. Studies investigating the distribution of strand breakage in short DNA strands following the decay of incorporated 125I offer one of the few benchmarks for model predictions on this scale. In this work, we have used TOPAS-nBio to evaluate the performance of three Geant4-DNA physics models at predicting the distribution and yield of strand breaks in this irradiation scenario. For each model, energy and OH radical distributions were simulated and used to generate predictions of strand breakage, varying energy thresholds for strand breakage and OH interaction rates to fit to the experimental data. All three models could fit well to the observed data, although the best-fitting strand break energy thresholds ranged from 29.5 to 32.5 eV, significantly higher than previous studies. However, despite well describing the resulting DNA fragment distribution, these fit models differed significantly with other endpoints, such as the total yield of breaks, which varied by 70%. Limitations in the underlying data due to inherent normalisation mean it is not possible to distinguish clearly between the models in terms of total yield. This suggests that, while these physics models can effectively fit some biological data, they may not always generalise in the same way to other endpoints, requiring caution in their extrapolation to new systems and the use of multiple different data sources for robust model benchmarking.

(Invited) Probing the Single Molecular Structural and Interactional Properties

Single molecule study, where science and engineering met, applies the tools and measurement techniques of nanoscale physics and chemistry to generate remarkable new insights into how physical, chemical, and biological systems function. It permits direct observation of molecular behavior that can be obscured by ensemble averaging and enables the study of important problems ranging from the fundamental physics of electronic transport in single molecule junctions and biophysics of single molecule interactions, such as the energetics and nonequilibrium transport mechanisms in single molecule junctions and the energy landscape of biomolecular reactions, associated lifetimes, and free energy, to the study and design of single molecules as devices-molecular wires, rectifiers and transistors and high‐affinity, anti‐cancer drugs.In this talk, we present two of our recent researches using the legendary scanning probe microscope Dr. Stuart Lindsay and the Late Dr. Nongjian Tao pioneered. One studies the small molecule-DNA interactions electronically by STM-breakjunction measurements of site-specific intercalation of small molecules (coralyne) into a custom-designed 11-base-pair DNA duplex. The results show that a single molecule DNA electrical rectifier is realized and the coralyne-induced spatial asymmetry in the electron state distribution caused the observed rectification. The other study elucidated the in situ single-molecule interaction of heparan sulfate (HS) with antithrombin (AT) on the endothelial cell membrane surface under near-physiological conditions, especially the role of sulfate groups in specific binding sites of HS for AT, using AFM recognition imaging and dynamic force spectroscopy measurements.

Nanofluids improve energy efficiency of membrane distillation

Thermal desalination of high salinity water resources is crucial for increasing freshwater supply, but efficiency enhancements are badly needed. Nanomaterial enhancements offer enormous potential for improving promising technologies like membrane distillation (MD). However, while many approaches have been tried, such as nanoparticle solar absorbers or nanomaterial membranes, there have not been studies to directly enhance the fluid properties in MD; via nanofluids. In this work, we examine nanofluids for gap-based MD systems, including the role of nanoscale physics and system-level energy efficiency enhancements. Our model includes the dominant micro-mixing from Brownian motion in fine particle nanofluids (copper oxide) and the unusually high axial conduction from phonon resonance through Van der Waals interaction in carbon nanotube nanofluids. Carbon nanotubes resulted in consistent, wide range of improvements; while copper oxide particles showcased diminishing returns after a concentration of 0.7%, where Brownian motion effects reduced. Nanofluid characterizations illustrated uniform dispersions after at least 75 min of sonication and using surfactants to stabilize the nanoparticles through micelle formations. However, the enhancements at higher concentrations from liquid layering around nanoparticles were impractical in gap-based MD configurations, since the related high surfactant levels compromised membrane hydrophobicity and promoted fouling. Dilute solutions of metallic nanofluids can be actively integrated to enhance the performance of gap-based MD systems, whereas stronger nanofluid solutions should be limited to heat exchangers that meet their thermal energy requirements.

Disjoining Pressure of Water in Nanochannels.

The disjoining pressure of water was estimated from wicking experiments in 1D silicon dioxide nanochannels of heights of 59, 87, 124, and 1015 nm. The disjoining pressure was found to be as high as ∼1.5 MPa while exponentially decreasing with increasing channel height. Such a relation resulting from the curve fitting of experimentally derived data was implemented and validated in computational fluid dynamics. The implementation was then used to simulate bubble nucleation in a water-filled 59 nm nanochannel to determine the nucleation temperature. Simultaneously, experiments were conducted by nucleating a bubble in a similar 58 nm nanochannel by laser heating. The measured nucleation temperature was found to be in excellent agreement with the simulation, thus independently validating the disjoining pressure relation developed in this work. The methodology implemented here integrates experimental nanoscale physics into continuum simulations thus enabling numerical study of various phenomena where disjoining pressure plays an important role.