Specific Range Research Articles

Microstructuring of Thermoresponsive Biofunctional Hydrogels by Multiphoton Photocrosslinking

AbstractA pioneering method is reported for creating thermoresponsive biofunctional hydrogel microstructures using maskless multiphoton lithography. Departing from conventional multiphoton‐triggered polymerization‐based techniques, this approach relies on simultaneous photocrosslinking and attachment of already pre‐synthesized polymer chains onto solid substrates. The method allows improving control over polymer network characteristics and enables facile integration of additional functionalities through postmodification with biomolecules at specific sites. Exploring two distinct benzophenone‐ and anthraquinone‐based photocrosslinkers incorporated into specially designed poly(N‐isopropyl acrylamide)‐based co‐ and terpolymers, the photocrosslinking efficacy is scrutinized with the use of a custom femtosecond near‐infrared laser lithographer. Comprehensive characterization via surface plasmon resonance imaging, atomic force microscopy, and optical fluorescence microscopy reveals swelling behavior and demonstrates postmodification feasibility. Notably, within a specific range of multiphoton photocrosslinking parameters, the surface‐attached microstructures exhibit a quasiperiodic topography akin to wrinkle‐pattern formation. Leveraging the capabilities of established multiphoton lithographer systems that offer fast pattern writing with high resolution, this approach holds great promise for the versatile fabrication of multifunctional 3D micro‐ and nanostructures. Such tailored responsive biofunctional materials with spatial control over composition, swelling behavior, and postmodification are particularly attractive in the areas of bioanalytical and biomedical technologies.

Numerical simulations for thermally developed double diffusion flow of nanoparticles due to elongated cylinder with multiple slip effects: Applications to energy storage system

Based on peak thermal performances of nanofluid, different mathematical models are developed. In current analysis, the investigation for heat and mass transfer phenomenon associated to the magnetized nanofluid is examined. The analysis for heat transfer is addressed with applications of radiative phenomenon. The multiple slip effects are entertained for governing problem. The cause of induced flow is stretched cylinder. Mathematical model is solved shooting scheme. The validation for predicted results is presented to justify the solution. The analysis is observed for specific range of parameters like 0 ≤ M ≤ 1.5 , 0 ≤ γ ≤ 0.6 , 0 ≤ S ≤ 0.3 , 0 ≤ R ≤ 0.5 , 0 ≤ Nt ≤ 0.4 , 0.5 ≤ A ≤ 2 , and 0.2 ≤ B ≤ 0.8 . The significance of thermally entertained nanofluid problem is physically inspected. It is evaluated that heat and mass transfer enhances due to curvature parameter. Low concentration field is examined for solutal stratification parameter. The obtained results present applications in enhancing thermal efficiency of solar systems, energy applications, heat transfer devices, chemical processes, cooling phenomenon, etc.

Fourier transform infrared spectroscopy and machine learning for Porphyromonas gingivalis detection in oral bacteria.

Porphyromonas gingivalis, a Gram-negative anaerobic bacillus, is the primary pathogen in periodontitis. Herein, we cultivated strains of oral bacteria, including P. gingivalis and the oral commensal bacteria Actinomyces viscosus and Streptococcus mutans, and recorded the infrared absorption spectra of the gases released by the cultured bacteria at a resolution of 0.5cm-1 within the wavenumber range of 500-7500cm-1. From these spectra, we identified the infrared wavenumbers associated with characteristic absorptions in the gases released by P. gingivalis using a decision tree-based machine learning algorithm. Finally, we compared the obtained absorbance spectra of ammonia (NH3) and carbon monoxide (CO) using the HITRAN database. We observed peaks at similar positions in the P. gingivalis gases, NH3, and CO spectra. Our results suggest that P. gingivalis releases higher amounts of NH3 and CO than A. viscosus and S. mutans. Thus, combining Fourier transform infrared spectroscopy with machine learning enabled us to extract the specific wavenumber range that differentiates P. gingivalis from a vast dataset of peak intensity ratios. Our method distinguishes the gases from P. gingivalis from those of other oral bacteria and provides an effective strategy for identifying P. gingivalis in oral bacteria. Our proposed methodology could be valuable in clinical settings as a simple, noninvasive pathogen diagnosis technique.

Temperature-induced disruptive growth rate behavior due to streaming instability in semiconductor quantum plasma with nanoparticles

The nature of the growth rate due to streaming instability in a semiconductor quantum plasma implanted with nanoparticles has been analyzed using the quantum hydrodynamic model. In this study, the intriguing effect of temperature, beam electron speed, and electron-hole density on growth rate and frequency is investigated. The results show that the growth rate demonstrates a nonlinear behavior, strongly linked to the boron implantation, beam electron streaming speed and quantum correction factor. A noteworthy finding in this work is the discontinuous nature of the growth rate of streaming instability in boron implanted semiconducting plasma system. The implantation leads to a gap in the growth rate which further gets enhanced upon increase in concentration of implantation. This behavior is apparent only for a specific range of the ratio of thermal speed of the electrons to that of the holes.

Study on the Hydrodynamic Performance of Swing-Type Flapping Hydrofoil Bionic Pumps Affected by Foil Camber

The flapping hydrofoil bionic pump is an innovative hydrodynamic device that utilizes flapping hydrofoil technology. Flapping hydrofoil bionic pumps are crucial in addressing issues like inadequate river hydropower and limited water purification capabilities in flat river network regions. Optimizing the foil characteristics is essential for enhancing the hydrodynamic efficiency of the flapping hydrofoil bionic pump. This study investigates the impact of foil camber parameters on the hydrodynamic performance of swing-type asymmetric flapping bionic pumps. The NACA series standard foils with varying cambers are analyzed using the overlapping grid technology and finite volume method. The thrust coefficient, flow rate, pumping efficiency, and flow field structure of the flapping hydrofoil bionic pump are examined under pressure inlet conditions with the foil camber. The findings indicate that increasing the foil’s curvature within a specific range can greatly enhance the maximum values of thrust coefficient, propulsive efficiency, and pumping efficiency of the flapping hydrofoil bionic pump. Specifically, when the foil curvature is 6%c, the maximum value of the instantaneous thrust coefficient of the flapping hydrofoil bionic pump is significantly improved by 31.25% compared to the symmetric foil type under the condition of an oscillating frequency of f = 1 HZ. The flapping hydrofoil bionic pump achieves its maximum pumping efficiency when the oscillation frequency is within the range of f ≤ 2.5 Hz. This efficiency is 11.7% greater than that of the symmetric foil, and it occurs when the foil curvature is 8%c. Within the frequency range of f > 2.5 Hz, the flapping hydrofoil bionic pump that has a foil curvature of 6%c exhibits the highest enhancement in pumping efficiency. It achieves a maximum increase of 12.8% compared to the symmetric foil type. Nevertheless, the average head was less than 0.4 m, making it suitable for ultra-low-head applications.

Derivation of porous cellulose propionate using hydrated hydroxyl groups and hydraulic pressure

This study aimed to enhance the thermal stability of microporous separators by introducing cellulose propionate (CP) as an innovative polymer matrix material, supplemented with glycerin as an additive. CP/glycerin composite membranes were created using hydraulic pressure techniques to reinforce essential separator properties. SEM analysis unveiled interconnected pores crucial for efficient ion transport, initiating water flux measurements at 5 bar. These measurements showcased improved mechanical strength, resulting in a porosity of 74.1 %. FT-IR spectroscopy illustrated CP-glycerin interactions, inducing plasticization and facilitating pore formation. Thermal Gravimetric Analysis (TGA) demonstrated superior thermal stability in CP/glycerin composite membranes compared to cellulose acetate (CA). Differential Scanning Calorimetry (DSC) revealed a slight reduction in thermal stability within a specific temperature range due to glycerin-induced plasticization effects. Nonetheless, the melting temperature (Tm) of CP/glycerin membranes increased to 188.4 °C, indicating heightened stability at elevated temperatures. Despite pressure-induced pore formation, CP/glycerin membranes exhibited enhanced thermal stability, suggesting reinforced molecular interactions. Overall, this study introduces a novel CP/glycerin composite membrane featuring improved thermal stability, enhanced strength, and controlled pore structures essential for efficient lithium-ion battery applications.

Band gap characteristics of new composite multiple locally resonant phononic crystal metamaterial

Locally resonant phononic crystal (LRPC) exhibit elastic wave band gap characteristics within a specific low-frequency range, but their band gap width is relatively narrow, which has certain limitations in practical engineering applications. In order to open a lower frequency band gap and broaden the band gap range, this paper proposes a new composite multiple locally resonant phononic crystal (CMLRPC). Firstly, the band structure of the CMLRPC is calculated by using the finite element method, and then the formation mechanism of the band gap of the CMLRPC is studied by analyzing its vibration mode, and the band gap width is expanded by adjusting the size of the single primitive cell in the supercell model of the CMLRPC. Secondly, an equivalent mass-spring system model for CMLRPC is established to calculate the starting frequency and cut-off frequency of the band gap, and the calculated results are in good agreement with the finite element calculation. Finally, the frequency response function of the CMLRPC is calculated and its attenuation characteristics are analyzed. Within the band gap frequency range, the attenuation values of the CMLRPC are mostly above 20 dB, indicating a good attenuation effect. Compared with traditional LRPC, this new CMLRPC opens multiple band gaps in the frequency range of 200 Hz, with a wider band gap width and better attenuation effect. In addition, considering both the contact between single primitive cell and the adjustment of their spacing in the supercell model of the CMLRPC, lower and wider band gap can be obtained. The research results of this paper provide a new design idea and method for obtaining low-frequency band gap in LRPC, and can provide reference for the design of vibration reduction and isolation structures in the field of low-frequency vibration control.

Effect of laser pre-treatment on adhesive joint performance and evaluation of interfacial strain distribution using mechanoluminescence

ABSTRACT In this study, factors that improve bonded joints structural response through laser surface pre-treatment on aluminum surfaces were investigated. Specifically, the focus was put on analyzing the laser treatment conditions, formation of the interface structure, and behavior of interface strength at the adhesive interface. The results revealed a specific range of laser treatment conditions in which tensile shear strength and fracture mode are stable. Although laser-treated adhesive joints showed cohesive failure similar to that observed in sandblasting or chemical treatment during the double cantilever beam test, the fracture toughness value was improved by a factor of 2 and 1.5, respectively. The laser-induced microstructure on the aluminum interface contributed to the improvement of fracture toughness. Furthermore, observation of the adhesive layer using a microscopic mechanoluminescence measurement system revealed that changes in the 3D structure of the interface significantly altered the stress luminescence pattern reflecting strain. As a result, direct visualization of interface strengthening via laser processing was achieved.

A dynamical computational model of theta generation in hippocampal circuits to study theta-gamma oscillations during neurostimulation.

Neurostimulation of the hippocampal formation has shown promising results for modulating memory but the underlying mechanisms remain unclear. In particular, the effects on hippocampal theta-nested gamma oscillations and theta phase reset, which are both crucial for memory processes, are unknown. Moreover, these effects cannot be investigated using current computational models, which consider theta oscillations with a fixed amplitude and phase velocity. Here, we developed a novel computational model that includes the medial septum, represented as a set of abstract Kuramoto oscillators producing a dynamical theta rhythm with phase reset, and the hippocampal formation, composed of biophysically realistic neurons and able to generate theta-nested gamma oscillations under theta drive. We showed that, for theta inputs just below the threshold to induce self-sustained theta-nested gamma oscillations, a single stimulation pulse could switch the network behavior from non-oscillatory to a state producing sustained oscillations. Next, we demonstrated that, for a weaker theta input, pulse train stimulation at the theta frequency could transiently restore seemingly physiological oscillations. Importantly, the presence of phase reset influenced whether these two effects depended on the phase at which stimulation onset was delivered, which has practical implications for designing neurostimulation protocols that are triggered by the phase of ongoing theta oscillations. This novel model opens new avenues for studying the effects of neurostimulation on the hippocampal formation. Furthermore, our hybrid approach that combines different levels of abstraction could be extended in future work to other neural circuits that produce dynamical brain rhythms.

Micromagnetic investigation of dynamic hysteresis and dynamic phase transition properties in Co, Fe and Ni nanodisks

We have investigated the dynamical hysteresis behaviors of Co,Fe, and Ni nanodisks under the effect of the time-dependent magnetic field by solving the Landau-Lifshitz-Gilbert equation with the OOMMF software. A nanodisk with a diameter of 360nm constructed in the xy plane is exposed to a sinusoidal x-directed magnetic field with varying frequency and amplitude values. All nanodisks exhibit intricate frequency-dependent variations in the hysteresis loop area, remanent magnetization, and coercive field. Our simulation results emphasize that while the dynamical order occurs exclusively in the x direction for Fe nanodisks, dynamical order is observed in the y and z directions for Ni nanodisks within a specific frequency range.

USE OF COMBINED ORAL CONTRACEPTIVES AND THE RISK OF CERVICAL CANCER IN YOUNG WOMEN

The relationship between the use of combined oral contraceptives and the risk of cervical cancer in young women has been the subject of intense scrutiny in the scientific literature. This topic, which is extremely important for women's health, has sparked debates and investigations due to the prevalence of the use of these contraceptives and the significant incidence of cervical cancer in young women. Understanding this possible association is crucial to inform contraceptive practices and cervical cancer prevention strategies. Objective: To evaluate and consolidate the available evidence on the relationship between the use of combined oral contraceptives and the risk of cervical cancer in young women, using studies and articles published in the last 10 years. Methodology: strictly adhered to the PRISMA checklist, using the PubMed, Scielo and Web of Science databases to identify relevant studies. The selected descriptors were combined oral contraceptives, cervical cancer, young women, risk and association. The search covered articles published in the last 10 years. The inclusion criteria included studies that focused exclusively on young women, directly investigated the relationship between the use of combined oral contraceptives and cervical cancer, and were published in the last 10 years. On the other hand, studies with participants outside the specific age range, research that did not directly address the association in question and articles that were not fully available or did not qualify as systematic reviews or primary studies were excluded. This methodological approach provided a comprehensive and careful analysis of the existing evidence on the topic. Results: 18 articles were selected. Analysis of studies revealed a diversity of perspectives on the association between combined oral contraceptives and cervical cancer risk in young women. Key topics included possible biological mechanisms, variations in the types of contraceptives used, and the influence of confounding factors. Conclusion: Given the complexity of the data analyzed, this review highlights the need for careful approaches in interpreting the relationship between combined oral contraceptives and cervical cancer in young women. Future research is crucial to fully clarify this association and provide more precise guidance for clinical practice.

Экономико-математическое обеспечение регионального и отраслевого стратегирования

A development strategy, be it for an enterprise, industry, region, or country, needs to be supplemented with economic and mathematical methods and models. Strategizing uses econometric models of various types, including panel data models, vector autoregressions, methods of multivariate statistical analysis, structural models based on the input-output methodology, and agent-based models. In this study, stages and the categories of “forecast” and “strategy” were interpreted in accordance with the theory of strategy and the methodology of strategizing developed by Professor V.L. Kvint. By studying the methods for forecasting and modeling socio-economic objects, strategists select the necessary tools in line with the strategizing objectives. Quantitative methods and tools have their own application characteristics, depending on whether they are used for forecasting or strategizing. The strategizing process is divided into three stages: analysis, strategizing, and evaluation. Each stage has a specific range of problems, as well as economic and mathematical methods. The author reviewed scientific literature that described the practical experience in applying various methods at each stage. The review revealed no generally accepted classifications and recommendations for mathematical methods to be used to address a certain type of problem or at a specific stage of strategizing. The practice of using economic and mathematical tools in strategizing is just emerging. However, the quality of statistical data is often low, and long-time sets of indicators cannot be compiled with a unified methodology. In general, the use of economic and mathematical models in strategizing requires knowledge of theory, practical experience, and intuition.

Study on Linewidth and Phase Noise Characteristics of a Narrow Linewidth External Cavity Diode Laser.

In the field of inter-satellite laser communication, achieving high-quality communication and compensating for the Doppler frequency shift caused by relative motion necessitate lasers with narrow linewidths, low phase noise, and the ability to achieve mode-hop-free tuning within a specific range. To this end, this paper investigates a novel external cavity diode laser (ECDL) with a frequency-selective F-P etalon structure, leveraging the external cavity F-P etalon structure in conjunction with an auxiliary filter to achieve single longitudinal mode selection. The laser undergoes linewidth testing using a delayed self-heterodyne beating method, followed by the testing of its phase noise and frequency noise characteristics using a noise analyzer, yielding beat spectra and noise power spectral density profiles. Furthermore, the paper introduces an innovative bidirectional temperature-scanning laser method to achieve optimal laser-operating point selection and mode-hop-free tuning. The experimental results showcase that the single longitudinal mode spectral side-mode suppression ratio (SMSR) is around 70 dB, and the output power exceeds 10 mW. Enhancing the precision of the F-P etalon leads to a more pronounced suppression of low-frequency phase noise, reducing the Lorentzian linewidth from the initial 10 kHz level to a remarkable 5 kHz level. The bidirectional temperature-scanning laser method not only allows for the selection of the optimal operating point but also enables mode-hop-free tuning within 160 pm.

Effect of tempo on the age-related changes in temporal expectation driven by rhythms.

Temporal expectation refers to the capacity to allocate resources at a particular point in time, enabling us to enhance our behavior performance. Empirical evidence indicates that, among younger adults, temporal expectation can be driven by rhythm (i.e., regular sequences of stimuli). However, whether there are age-related changes in rhythm-based temporal expectation has not been clearly established. Furthermore, whether tempo can influence the relationship between rhythm-based temporal expectation and aging remains unexplored. To address these questions, both younger and older participants took part in a rhythm-based temporal expectation task, engaging three distinct tempos: 600 ms (fast), 1800 ms (moderate), or 3000 ms (slow). The results demonstrated that temporal expectation effects (i.e., participants exhibited significantly faster responses during the regular trials compared to the irregular trials) were observed in both the younger and older participants under the moderate tempo condition. However, in the fast and slow tempo conditions, the temporal expectation effects were solely observed in the younger participants. These findings revealed that rhythm-based temporal expectations can be preserved during aging but within a specific tempo range. When the tempo falls within the range of either being too fast or too slow, it can manifest age-related declines in temporal expectations driven by rhythms.

Study the effect of axially perforated baffle plate with multiple opposite-oriented trapezoidal flow deflectors in an air–water tubular heat exchanger

Purpose The research focused on analysing a unique type of heat exchanger that uses swirling air flow over heated tubes. This heat exchanger includes a round baffle plate with holes and opposite-oriented trapezoidal air deflectors attached at different angles. The deflectors are spaced at various distances, and the tubes are arranged in a circular pattern while maintaining a constant heat flux. Design/methodology/approach This setup is housed inside a circular duct with airflow in the longitudinal direction. The study examined the impact of different inclination angles and pitch ratios on the performance of the heat exchanger within a specific range of Reynolds numbers. Findings The findings revealed that the angle of inclination significantly affected the flow velocity, with higher angles resulting in increased velocity. The heat transfer performance was best at lower inclination angles and pitch ratios. Flow resistance decreased with increasing angle of inclination and pitch ratio. Originality/value The average thermal enhancement factor decreased with higher inclination angles, with the maximum value observed as 0.94 at a pitch ratio of 1 at an angle of 30°.

The Development and Evaluation of a Prediction Model for Kidney Transplant-Based Pneumocystis carinii Pneumonia Patients Based on Hematological Indicators.

This study aimed to develop a simple predictive model for early identification of the risk of adverse outcomes in kidney transplant-associated Pneumocystis carinii pneumonia (PCP) patients. This study encompassed 103 patients diagnosed with PCP, who received treatment at our hospital between 2018 and 2023. Among these participants, 20 were categorized as suffering from severe PCP, and, regrettably, 13 among them succumbed. Through the application of machine learning techniques and multivariate logistic regression analysis, two pivotal variables were discerned and subsequently integrated into a nomogram. The efficacy of the model was assessed via receiver operating characteristic (ROC) curves and calibration curves. Additionally, decision curve analysis (DCA) and a clinical impact curve (CIC) were employed to evaluate the clinical utility of the model. The Kaplan-Meier (KM) survival curves were utilized to ascertain the model's aptitude for risk stratification. Hematological markers, namely Procalcitonin (PCT) and C-reactive protein (CRP)-to-albumin ratio (CAR), were identified through machine learning and multivariate logistic regression. These variables were subsequently utilized to formulate a predictive model, presented in the form of a nomogram. The ROC curve exhibited commendable predictive accuracy in both internal validation (AUC = 0.861) and external validation (AUC = 0.896). Within a specific threshold probability range, both DCA and CIC demonstrated notable performance. Moreover, the KM survival curve further substantiated the nomogram's efficacy in risk stratification. Based on hematological parameters, especially CAR and PCT, a simple nomogram was established to stratify prognostic risk in patients with renal transplant-related PCP.

On the Capacitive-to-Resistive Humidity Response of Polyelectrolyte-Gated Metal Oxide Transistors

The electrolyte gating of transistors, which directly couples ion transport with electron conduction, is particularly interesting in the field of bio and chemical sensing. When a humidity-sensitive polyelectrolyte is used as the gate dielectric, the resulting ionotronic device becomes a humidity-sensitive transistor providing potential advantages in signal amplification and circuit integration. In this work, a humidity-sensitive polyelectrolyte-gated metal oxide transistor is reported by implementing the capacitive-to-resistive-based sensing mechanism. Due to the correlation between drain current and gate capacitance, the measurement of capacitance or impedance for humidity sensors is converted into the measurement of resistance. Initial sensing studies in the quasi-static DC sensing mode resulted in a limited sensing response. A pulsed sensing mode was proposed to considerably enhance the sensing response I D,80%RH /I D,20%RH to 861. The response in the specific RH range was also found to be tunable with the applied sensing signal. The underlying mechanism is elucidated with frequency-dependent capacitance and impedance analysis of the gate electrolyte using corresponding equivalent circuit model.

Chemical oscillation in ultracold chemistry

We demonstrate the occurrence of oscillatory reactions in the ultra-cold chemistry of atom-molecular Bose-Einstein condensate. Nonlinear oscillations in the mean-field dynamics occur for a specific range of elliptic modulus, giving rise to both in- and out-phase modulations in the atom-molecule population density. The reaction front velocity is found to be controlled by photoassociation, which also regulates the condensate density. Two distinct pairs of in-phase bright localized gap solitons are found as exact solutions, the existence of one of which necessarily requires a background. Cnoidal atomic density waves along with a plane-wave molecular motion are observed in both attractive and repulsive domains. The role of intra- and inter-species interactions on both existence and stability is explicated in the presence of photoassociation.

Prediction performance of scoring systems after out-of-hospital cardiac arrest: A systematic review and meta-analysis.

Ongoing changes in post resuscitation medicine and society create a range of ethical challenges for clinicians. Withdrawal of life-sustaining treatment is a very sensitive, complex decision to be made by the treatment team and the relatives together. According to the guidelines, prognostication after cardiopulmonary resuscitation should be based on a combination of clinical examination, biomarkers, imaging, and electrophysiological testing. Several prognostic scores exist to predict neurological and mortality outcome in post-cardiac arrest patients. We aimed to perform a meta-analysis and systematic review of current scoring systems used after out-of-hospital cardiac arrest (OHCA). Our systematic search was conducted in four databases: Medline, Embase, Central and Scopus on 24th April 2023. The patient population consisted of successfully resuscitated adult patients after OHCA. We included all prognostic scoring systems in our analysis suitable to estimate neurologic function as the primary outcome and mortality as the secondary outcome. For each score and outcome, we collected the AUC (area under curve) values and their CIs (confidence iterval) and performed a random-effects meta-analysis to obtain pooled AUC estimates with 95% CI. To visualize the trade-off between sensitivity and specificity achieved using different thresholds, we created the Summary Receiver Operating Characteristic (SROC) curves. 24,479 records were identified, 51 of which met the selection criteria and were included in the qualitative analysis. Of these, 24 studies were included in the quantitative synthesis. The performance of CAHP (Cardiac Arrest Hospital Prognosis) (0.876 [0.853-0.898]) and OHCA (0.840 [0.824-0.856]) was good to predict neurological outcome at hospital discharge, and TTM (Targeted Temperature Management) (0.880 [0.844-0.916]), CAHP (0.843 [0.771-0.915]) and OHCA (0.811 [0.759-0.863]) scores predicted good the 6-month neurological outcome. We were able to confirm the superiority of the CAHP score especially in the high specificity range based on our sensitivity and specificity analysis. Based on our results CAHP is the most accurate scoring system for predicting the neurological outcome at hospital discharge and is a bit less accurate than TTM score for the 6-month outcome. We recommend the use of the CAHP scoring system in everyday clinical practice not only because of its accuracy and the best performance concerning specificity but also because of the rapid and easy availability of the necessary clinical data for the calculation.

Molecular dynamics study on desublimation and crystal nucleation of carbon dioxide on a low temperature surface

To capture CO2 crystal nucleation during the desublimation, we conducted a molecular dynamics study on the desublimation process of CO2 on a low temperature plate. The desublimation process is characterized by three models corresponding to different degrees of supercooling. When the plate temperature is below 82 K, the solid CO2 with a glassy state structure forms after CO2 gas molecules adsorb onto the cool plate. In the temperature range of 83–113 K, CO2 crystal nucleus forms within the disordered solid CO2, and subsequently the nucleus grows into Pa3-type crystal. For the plate temperature between 114 and 128 K, a liquid CO2 phase initially forms, the nucleus then generates and grows to develop into Pa3 crystal. The CO2 crystal nucleation is accompanied by the reduction of molecular potential energy and the increase of molecular kinetic energy. Additionally, the recalescence phenomenon occurs during CO2 crystal nucleation. It is crucial that the molecular kinetic energy and molecular distance fall within a specific range to enable the formation of CO2 nucleus and regular Pa3 crystal. Consequently, the CO2 crystal nucleation can only occur within a specific range of plate temperatures.