Determination Of Parameters Research Articles

Fast parameter optimization for high-fidelity crystal plasticity simulation using active learning

Crystal plasticity (CP) simulation is a powerful tool for studying and understanding the mechanical behavior of materials. A critical aspect of this method is the accurate determination of CP parameters, which ensures that the constitutive model accurately represents the real deformation behavior of a material, especially in high-fidelity simulations. However, identifying these parameters poses a significant challenge due to the high computational cost and the difficulty of finding optimal solutions within a vast and complex parameter space. To address these challenges, we propose a fast search strategy that leverages active learning (AL) and experimental data to accelerate the optimization of CP parameters. Using the Al-Cu eutectic materials as a case study, we introduced a quantitative index, C ecp, to measure the consistency between simulated and experimental stress-strain curves. We demonstrated that Gaussian process regression (GPR) serves as the most appropriate surrogate model for relating CP parameters and C ecp based on our dataset. After only six iterations guided by AL, the optimal CP parameters were successfully identified, resulting in a high-fidelity CP model for analyzing the mechanical behavior of Al-Cu eutectic materials. The machine learning-enhanced strategy is far superior to traditional methods in terms of both efficiency and accuracy. It advances our understanding of the macro-micro relationships of materials and accelerates the material design process.

A numerical study of deep excavations adjacent to existing tunnels: Integrating CPTU and SDMT to calibrate soil constitutive model

Accurate determination of parameters for an advanced soil constitutive model highly relies on laboratory testing, even though it is notoriously difficult to obtain undisturbed samples for soft soils. This study explores the potential use of in-situ tests, such as piezocone penetration tests (CPTU) and seismic dilatometer tests (SDMT), to estimate the constitutive model parameters. Based on a case history of a deep excavation adjacent to existing tunnels in silt/sand-dominated sediments, a calibration approach of a set of the HSSmall (Hardening Soil Model with Small Strain Stiffness) model parameters is presented, and the derived parameters are used to numerically compute the interactive responses of tunnels and deep excavations. Several comparisons against field monitoring data indicate that the numerical model with the CPTU/SDMT-interpreted HSSmall model parameters adequately reproduces observed deformation responses of deep excavations adjacent to tunnels. However, the use of laboratory tests with disturbed samples to estimate the stiffness parameters of the HSSmall model may lead to an overconservative solution. This finding supports the use of CPTU/SDMT to provide representative parameters for a range of soil layers, leading to the conclusion that tunnel linings may be beneficial to mitigate ground movements and wall deflections due to a barrier effect.

Typical Case Studies and Classification with Evaluation of Carbon Dioxide Geological Sequestration in Saline Aquifers

To achieve carbon neutrality in China’s fossil energy sector, saline aquifer CO2 geological storage has become a critical strategy. As research into carbon reduction and storage potential evaluation advances across various geological scales, the need arises for consolidating key CO2 storage cases and establishing a standardized classification system and evaluation methodology. This paper provides a comprehensive review of notable CO2 storage projects in saline aquifers, covering aspects such as project overviews, structural and reservoir characteristics, caprock integrity, and seismic monitoring protocols. Drawing on insights from mineral and oil and gas exploration, as well as international methods, this paper outlines the stages and potential levels of saline aquifer storage in China. It proposes an evaluation framework with formulas and reference values for key coefficients. The study includes successful global projects, such as Sleipner and Snøhvit in Norway, In Salah in Algeria, and Shenhua in China’s Ordos Basin, which provide valuable insights for long-term carbon capture and storage (CCS). By examining geological characteristics, injection, and monitoring protocols in these projects, this paper analyzes how geological features impact CO2 storage outcomes. For example, the Sleipner project’s success is linked to its straightforward structure, favorable reservoir properties, and stable caprock, while Snøhvit illustrates diverse structural suitability, and In Salah demonstrates the influence of fractures on storage efficacy. CO2 storage activities are segmented into four stages—survey, investigation, exploration, and injection—and are further categorized by storage potential: geological, technical, techno-economic, and engineering capacities. This study also presents evaluation levels (prediction, control, technically recoverable, and engineering) that support effective reservoir selection, potential classification, and calculations considering factors like reservoir stability and sealing efficacy. Depending on application needs, volumetric or mechanistic methods are recommended, with precise determination of geological, displacement, and cost coefficients. For China, a dynamic evaluation mechanism characterized by multi-scale, tiered approaches and increasing precision over time is essential for robust storage potential assessment. The levels and methods outlined here serve as a scientific foundation for regional and stage-based comparisons, guiding engineering approvals and underground space management. To align with practical engineering demands, ongoing innovation through laboratory experiments, simulations, and field practice is crucial, supporting continual refinement of formulas and key parameter determinations.

Search for CP -Violating Neutrino Nonstandard Interactions with the NOvA Experiment

This Letter reports a search for charge-parity (CP) symmetry violating nonstandard interactions (NSI) of neutrinos with matter using the NOvA Experiment, and examines their effects on the determination of the standard oscillation parameters. Data from νμ(ν¯μ)→νμ(ν¯μ) and νμ(ν¯μ)→νe(ν¯e) oscillation channels are used to measure the effect of the NSI parameters ϵeμ and ϵeτ. With 90% CL the magnitudes of the NSI couplings are constrained to be |ϵeμ|≲0.3 and |ϵeτ|≲0.4. A degeneracy at |ϵeτ|≈1.8 is reported, and we observe that the presence of NSI limits sensitivity to the standard CP phase δCP. Published by the American Physical Society 2024

Determination of Optical and Structural Parameters of Thin Films with Differently Rough Boundaries

The optical characterization of non-absorbing, homogeneous, isotropic polymer-like thin films with correlated, differently rough boundaries is essential in optimizing their performance in various applications. A central aim of this study is to derive the general formulae necessary for the characterization of such films. The applicability of this theory is illustrated through the characterization of a polymer-like thin film deposited by plasma-enhanced chemical vapor deposition onto a silicon substrate with a randomly rough surface, focusing on the analysis of its rough boundaries over a wide range of spatial frequencies. The method is based on processing experimental data obtained using variable-angle spectroscopic ellipsometry and spectroscopic reflectometry. The transition layer is considered at the lower boundary of the polymer-like thin film. The spectral dependencies of the optical constants of the polymer-like thin film and the transition layer are determined using the Campi–Coriasso dispersion model. The reflectance data are processed using a combination of Rayleigh–Rice theory and scalar diffraction theory in the near-infrared and visible spectral ranges, while scalar diffraction theory is used for the processing of reflectance data within the ultraviolet range. Rayleigh–Rice theory alone is sufficient for the processing of the ellipsometric data across the entire spectral range. We accurately determine the thicknesses of the polymer-like thin film and the transition layer, as well as the roughness parameters of both boundaries, with the root mean square (rms) values cross-validated using atomic force microscopy. Notably, the rms values derived from optical measurements and atomic force microscopy show excellent agreement. These findings confirm the reliability of the optical method for the detailed characterization of thin films with differently rough boundaries, supporting the applicability of the proposed method in high-precision film analysis.

Leveraging Massive MIMO for Enhanced Energy Efficiency in High-Density IoT Networks

Maximizing energy efficiency (EE) in massive multiple-input multiple-output (MIMO) systems, while supporting the rapid expansion of Internet of Things (IoT) devices, is a critical challenge. In this paper, we delve into the intricate operations geared toward enhancing EE in such complex environments. To effectively support a multitude of IoT devices, we adopt a strategy of heavy reference signal (RS) reuse, and in this circumstance, we formulate the EE metrics and their corresponding inverses to determine pivotal operational parameters. These EE-centric parameters encompass factors such as the number of service antennas in the base station (BS), the number of IoT devices, and permissible coverage extents. Our objective is to calibrate these parameters to meet a predefined EE threshold, ensuring optimal system performance. Additionally, we recognize the indispensable role of Peak-to-Average Power Ratio (PAPR) reduction techniques, particularly in multicarrier systems, to further enhance EE. As such, we employ clipping-based PAPR reduction methods to mitigate signal distortions and bolster overall efficiency. Theoretical EE metrics are derived based on formulated signal-to-interference-plus-noise ratios (SINRs), yielding insightful closed-form expressions for the operational parameters. Leveraging two distinct EE metric models, we undertake parameter determinations, accounting for the levels of approximation. Intriguingly, our analysis reveals that even simplified models exhibit remarkable applicability in real-world scenarios, with a minimal margin of error. The results not only underscore the practical applicability of our theoretical constructs but also highlight the potential for significant EE enhancements in massive MIMO systems, thereby contributing to sustainable evolution in the IoT era.

Comparative Study of the Effectiveness of Pulsed and Continuous 450 nm Laser Radiation on Tissue for Layered Removal of Pigmented Nevi

Benign pigmented skin lesions, including congenital giant pigmented nevi (CGPN), are pathological formations located in various skin layers and consisting of melanocyte clusters. CGPN represent a serious psychological and medical problem associated with extensive unaesthetic changes in the patient’s skin appearance. These lesions are currently treated by various methods, including laser radiation. However, such methods often render ineffective and lead to unsatisfactory clinical and aesthetic results, with the incidence of complications in the form of scarring and recurrence sometimes reaching 41%. Therefore, the problem of effective and appropriate treatment of this pathology is relevant, deserving further research. In this work, we conduct an experimental biomedical study into the effect of blue laser radiation with a wavelength (λ) of 450 nm on the tissues of laboratory animals in order to determine its prospects in the treatment of pigmented nevi, including CGPN. Blue laser radiation (λ — 450 nm) was generated by an Lasermed 10-03 device (Russian Engineering Club, LLC, Tula, Russia). An experimental biomedical in vitro research was performed on chilled samples of the liver and muscles of mini-pigs and in vivo on the pigmented skin of live laboratory rats. The dynamics of the regenerative wound process in the exposure areas was studied at different periods, i.e., immediately after exposure and following up to 90 days. A morphometric assessment of the exposure areas was carried out in terms of penetration depth and coagulation changes. The results obtained allowed determination of optimal parameters of 450 nm blue laser radiation for a precision removal of various pigmented skin formations. Laser radiation with a wavelength of 450 nm is a promising treatment approach for pigmented skin lesions, including CGPN.

CTNI-16. MONOGERM, A NOVEL PROOF-OF-PRINCIPLE BAYESIAN PHASE II TRIAL DESIGN OF CARBOPLATIN OR VINBLASTINE MONOTHERAPY INDUCTION PRIOR TO RADIOTHERAPY FOR INTRACRANIAL GERMINOMA

Abstract BACKGROUND Current European standard-of-care for localised intracranial germinoma is multi-agent chemotherapy (carboPEI: carboplatin/etoposide/ifosfamide) followed by definitive radiotherapy, with excellent survival. MonoGerm is a de-escalation, non-inferiority trial aiming to reduce toxicity. Twelve-week carboplatin (PMID:8039122) AUC10 or vinblastine (PMIDs:32642701/34520101) induction will be evaluated to test if as effective as carboPEI from SIOP-CNS-GCT-II. A novel trial design was required to answer this question pragmatically/safely. METHODS Clinical trials in rare diseases recruit slowly, allowing continuous monitoring of efficacy outcomes. Efficacy-transition-pathways (ETP) are innovative visual tools to aid determination of trial design parameters, and an extension of the dose-transition-pathways concept introduced for dose-finding trials (PMID:28733440). RESULTS MonoGerm includes two monotherapies, with each single arm recruiting six cohorts of three patients, with interim assessment after each recruited cohort and final analysis at 18 patients (total n=36). Insufficient tumour volume response (<30%) at 6-week safety MRI results in 12-weeks carboPEI. Primary outcome is radiological complete response (CR) by 12-weeks of induction monotherapy. A beta-binomial conjugate analysis will generate posterior probability distributions, combining observed trial data as realisations from a binomial distribution with a minimally informative Beta (1,1) prior. Decision criteria to allow early stopping at interim analyses and go/no-go decisions at final analysis are based on probabilities from these posterior distributions. ETP visually maps out parameters used to assert decisions after each interim assessment as a pyramid decision tree. For each recruited cohort and every CR outcome, estimates of the true CR rate and probabilities with associated decisions are mapped out. ETP allows clear communication between statisticians, clinicians, and patient-public-involvement (PPI) teams, facilitating informed decisions in an efficient/realistic trial design. CONCLUSION MonoGerm, a novel Bayesian de-escalation trial, funded by Little Princess Trust (https://www.littleprincesses.org.uk/), uses ETP and continuous monitoring with built-in stopping rules to ensure patient safety in this treatment de-escalation trial.

Microscopic Modeling Techniques for Steel Fiber Reinforced Concrete: Applications and Future Directions

This article reviews micro-modeling methods for steel fiber-reinforced concrete (SFRC), including finite element, discrete element, and computational fluid dynamics approaches, to analyze its mechanical and structural behavior. The models offer predictive insights on stress response, crack propagation, and durability in SFRC, particularly in high-stress structural applications. This study discusses the limitations of current modeling practices, such as high computational demand and parameter determination challenges, and suggests future improvements to enhance simulation accuracy and scalability. This review aims to support the advancement of SFRC in structural engineering applications.

Variability in Nutrient Content and Biochemical Parameters of Soil Under Rotational Pasture Management of Farmed Fallow Deer

Fallow deer are animals kept on large-scale pastures, which influence soil properties, including the content of nutrients in the soil and the flow of these nutrients in the soil–plant–animal system. Therefore, the aim of this case study was to analyze the variability in the macronutrient content and biochemical properties of soil under rotational grazing conditions of farmed fallow deer. Fallow deer grazed in two summer pens from April to November, and in the winter pen from December to March. The analyses included the determination of several soil parameters to capture sensitive soil changes and assess potential degradation of the soil environment in response to grazing: pHKCl, TOC, TN, N-NO3, N-NH4+, total (P, K, Mg, Ca, and Na) and available (Pav, Kav, Mgav) forms of macronutrients, and selected soil enzymes (dehydrogenase, acid phosphatase and alkaline phosphatase, and urease). The results showed that the pHKCl in the plots used by farm fallow deer was lower than in the soil of the control object. Moreover, the TN and TOC content in the soils of all pastures was statistically significantly lower than in the soil without grazing, while for TOC, the same effect was observed in the winter pasture soil. The content of N-NO3− was several times higher than that of N-NH4+ in the soils of the studied breeding plots. The relationships noted indicate that grazing is important in the transformation of soil organic matter, which is influenced by the relationship between carbon and nitrogen. In addition, the grazing of farmed fallow deer had a negative effect on the content of P in the soils of all pastures and a positive impact on the accumulation of K. Winter grazing had a positive effect on the amount of Pav and Kav in the soil, but a negative effect on the content of Mgav, compared to grazing in the summer quarters. In the plots used for pastures, the activity of soil enzymes was higher than in the control soil. It has been shown that the influence of fallow deer farming on the soil environment of pastures is not unequivocal. Therefore, long-term monitoring of changes in the properties of these soils is necessary.

Treatment Tactics in Remission Stage of Episodic Schizophrenia Taking into Account Immunological Parameters

Background: the study of clinical remission in schizophrenia has a significant place at the current stage of development of psychiatric science. Prevention therapy and personalized prophylactic therapy is important to improve the quality of remission, stabilization of the endogenous process and prevention of exacerbation. The aim was to develop apathogenetically grounded method of treatment of episodic schizophrenia at the remission stage using complex assessment of clinical, psychometric and immunological parameters of patients, which allows to control the quality and stability of remission, as well as prediction of exacerbation of the endogenous process. Patients and methods: 91 patients (24 men and 67 women) aged from 18 to 70 years were examined. They were in remission after suffering attacks of an endogenous disease with episodic course (the duration of remissions ranged from 6 months to 12 years). Clinical-psychopathological, psychometric, immunological, clinical and followup, and statistical methods were used. Results: determination of inflammatory and autoimmune markers of blood plasma in the dynamics of the disease and their comparison with the severity of psychopathological symptomatology of patients with schizophrenia, made it possible to form 2 groups of patients with differently directed correlations between the change in clinical state (according to the PANSS scale) and the level of activation of the immune system, assessed in the aggregate immune markers determined. For patients of group 1 (n = 58; 63.74%) the decrease of the intensity of psychopathological symptoms in remission is associated with a decrease in the level of immune system activation («positive» correlations). For the patients of group 2 (n = 33; 36.26%) the level of immune system activation in remission does not decrease and remains at the level of the acute stage of the disease (“negative” correlations). It is shown that the increase in the level of immune system activation in patients of group 1 is a prognostic immunological criterion of possible exacerbation of psychopathological symptoms in remission. Based on the determination of immunological blood parameters in remission, personalized treatment tactics have been developed for these patients, associated with the transition from maintenance doses of drugs to therapeutic ones or additional use of drugs of another group. In most cases, this tactic contributed to relatively favorable dynamics of the existing clinical remission without significant changes in the condition. For patients of group 2, the personalized therapy tactics involves continuation of longterm active therapy. Conclusions: complex assessment of clinical, psychometric and immunological parameters of patients with episodic schizophrenia, which allows to control the quality and stability of remission, can be used to control the quality and stability of remission, as well as to detect preclinical signs of exacerbation of the endogenous process.

Lifetime mapping using femtosecond time-resolved photoemission electron microscopy.

Time-resolved photoemission electron microscopy (PEEM) has established itself as a versatile experimental technique to unravel the ultrafast electron dynamics of materials with nanometer-scale resolution. However, the approach of performing PEEM-based, pixel-by-pixel lifetime mapping has not been reported thus far. Herein, we describe in detail the data pre-processing procedure and an algorithm to perform time-trace fittings of each pixel. We impose an energy cutoff for each pixel prior to spectral integration to enhance the robustness of our approach. With the energy cutoff, the energy-integrated time traces show improved statistics and lower fitting errors, thus resulting in a more accurate determination of the fit parameters, e.g., decay time constants. Our work allows us to reliably construct PEEM-based lifetime maps, which potentially shed light on the effects of local microenvironment on the ultrafast processes of the material and allow spatial distributions of lifetimes to be correlated with observables obtained from complementary microscopic techniques, hence enabling a more comprehensive characterization of the material.

A 1D micromechanics-based constitutive model for the thermoviscoelastic behavior of crosslinked semicrystalline shape memory polymers: numerical simulation and experimental validation

Abstract The paper develops a 1D thermoviscoelastic constitutive model for the crystallization- and melting-induced one-way and two-way shape memory effects, as well as isothermal yielding behaviors, of crosslinked semi-crystalline polymers. A micromolecular chain model is proposed to characterize the transition between the amorphous and crystalline phases. Structural equations including a modified Eying model that combine phase transition and viscoelasticity equations are employed to predict the shape memory effects. An extensive experimental campaign has been carried out on poly (ethylene-co-vinyl acetate) based semi-crystalline elastomers to characterize the thermoviscoelastic temperature-stress-strain relations of the material under different loading and rate conditions. Some results guide the determination of the model parameters, while the rest validate the model capabilities. Comparisons with the experimental results show that the model can well reproduce the stress-strain-temperature responses, providing valuable insights for application development.

Position paper of DGKL and DIVI on requirements for laboratory services in intensive care and emergency medicine

The timely determination and evaluation of laboratory parameters in patients with acute life- or organ-threatening diseases and disease states in the emergency room or intensive care units can be essential for diagnosis, initiation of therapy, and outcome. The aim of the position paper is to define the time requirements for the provision of laboratory results in emergency and intensive care medicine. Requirements for point-of-care testing (POCT) and the (central) laboratory can be derived from the urgency. Expert groups from the DGKL (Deutsche Gesellschaft für Klinische Chemie und Laboratoriumsmedizin) and DIVI (Deutsche Interdisziplinäre Vereinigung für Intensiv- und Notfallmedizin) developed a classification about the urgency for the determination of laboratory parameters as well as recommendations on the necessary organizational framework and quality assurance measures using national and international guidelines, review articles, and original papers. Three levels of urgency are defined, based on the turnaround time of the most common laboratory parameters: emergency 1, with a turnaround time of no more than 15 min; emergency 2, with a turnaround time of a maximum of 60 min; urgent case, with a turnaround time within 4 h. In addition, a recommendation is made when to provide the results for the main ward rounds in the intensive care unit and the emergency department. The recommendations allow the organizational and technical regulations for each hospital to be aligned with the urgency of the provision of the test results to the medical team based on the medical requirements.

The influence of modification of the geometry of the front surface of the RFSSW tool inner sleeve on the fatigue life of joints during joining clad sheets made of aluminum alloy 2024-T3

AbstractRefill Friction Stir Spot Welding (RFSSW) has a number of advantages that make it a possible alternative to riveting and resistance welding in aerospace structures, the automotive industry and other applications. Adequate determination of technological parameters which ensure the desired properties of welds and their functioning in various operating conditions requires, among others, appropriate fatigue life of connections. The article presents the results of comparative tests of the mechanical properties of welds (load-bearing capacity and fatigue life at selected three load levels) made with a basic tool (G0) and a tool with a modified geometry (G4). The samples were made of 1.27 mm thick clad sheets of 2024-T3 aluminum alloy with an additional oxide anodic coating. It has been shown that the modified geometry of the working surface of the inner sleeve of the RFSSW tool improves the conditions and course of the plasticization and stirring process of the joined materials. The use of a G4 geometry tool allowed for approximately 30% higher joint load-bearing capacity and approximately twice as long fatigue life (at lower load levels) compared to welds made with the G0 tool.

Systematic Parameter Determination Aimed at a Catalyst-Controlled Asymmetric Rh(I)-Catalyzed Pauson–Khand Reaction

Systematic Parameter Determination Aimed at a Catalyst-Controlled Asymmetric Rh(I)-Catalyzed Pauson–Khand Reaction

Thermal Evaluation of Solar Dryer’s Curve-Front utilized Heat Transfer Analysis

The sun is most sustainable renewable energy, environmentally friendly and utilized for preservation of food and agricultural crops. The main objective of this experiment research work has focused on using renewable energy for evaporated moisture of foods fruit vegetables and herbs by drying system. The heat transfer equation are analyzed to effectively harness the temperature from the sun. Experimental data obtained were used to evaluate the properties of dry air on boundary region condition. Initial, testing was carried out under without load condition, and the result shows that the ambient and dryer’s internal temperature range between 29.3-40.2˚C and 37.4-60.3 ˚C, respectively, in Thailand a latitude of 14°0'48.46" North and longitude of 100°31'49.76" East (recorded average solar radiations and temperature on January 2023 - June 2024), average solar radiations range between 312 W/m2 and 513 W/m2. The indirect natural convection was design and calculated energy base on average temperature not higher than 55˚C, utilized sun daylight at 08:00 a.m. to 04:00 p.m. local time and clear sky or partially cloudy. Second, determination of design parameters; heat energy equation and steam table analysis. Final, utilization of the design under local time, solar radiation and the climatic local conditions and test with ginger slices (represent product in order to examine weight loss). The solar dryer’s curve front shape conduced on without load showed the heat transfer coefficient natural convections range between 3.7 and 4.5 W/m2 ˚C, the energy of dry air analysis range between 54.7 and 155.2 J/s and performance of drying rate range between 0.06 and 0.82 g/s, under increasing and decreasing trends of solar radiations from the time, date and climatic local region condition.

A Reformulated-Vortex-Particle-Method-Based Aerodynamic Multi-Objective Design Optimization Strategy for Proprotor in Hover and High-Altitude Cruise

An improved multi-objective design optimization framework is proposed for the efficient design of proprotor blades tailored to specific high-altitude mission requirements. This framework builds upon existing methods by leveraging a reformulated Vortex Particle Method (rVPM) and incorporates three key stages: (1) rapid determination of overall proprotor parameters using a semi-empirical model, (2) optimized blade chord and twist distribution bounds based on minimum energy loss theory, and (3) global optimization with a high-fidelity rVPM-based aerodynamic solver coupled with a multi-objective hybrid optimization algorithm. Applied to a small high-altitude tiltrotor, the framework produced Pareto-optimal proprotor designs with a figure of merit of 0.814 and cruise efficiency of 0.896, exceeding mission targets by over 15%. Key findings indicate that large taper ratios and low twist improve hover performance, while elliptical blade planforms with high twist enhance cruise efficiency, and a tip anhedral further boosts overall performance. This framework streamlines the industrial customization of proprotor blades, significantly reducing the design space for advanced optimization while improving performance in demanding high-altitude environments.

Determination of optimal design and technological parameters of the operation of the KS-0.3P clover grater and scarifier in the wiping mode

Determination of optimal design and technological parameters of the operation of the KS-0.3P clover grater and scarifier in the wiping mode

Physical Parameters and Properties of 20 Cold Brown Dwarfs in JWST

We present a comprehensive analysis of 20 T and Y dwarfs using spectroscopy from the Near-Infrared Spectrograph (NIRSpec) CLEAR/PRISM and Mid-Infrared Instrument (MIRI) low-resolution spectrometer instruments on the James Webb Space Telescope. To characterize the atmospheric parameters, we utilize two atmospheric model grids: the Sonora Elf Owl and ATMO2020++. The effective temperatures derived from the two models are relatively consistent, and metallicities are both close to solar values. However, significant discrepancies are found in other parameters, particularly in surface gravity, with the values obtained from the Sonora Elf Owl models typically being about 1 dex lower than those from the ATMO2020++ models. Further comparisons using the ATMO2020 models highlight that the adiabatic convective process introduced in the ATMO2020++ models has a significant impact on the determination of surface gravity. Using the fitted effective temperatures and absolute parallaxes from the literature, we derive radii for the brown dwarfs, which range from approximately 0.8–1.2 R Jup. The estimated masses and ages, derived using evolutionary tracks, indicate that most brown dwarfs in our sample have masses below 30 M Jup and are younger than 6 Gyr. Specifically, Y dwarfs have masses ranging from 2 to 20 M Jup and ages between 0.1 and 6.7 Gyr. In addition, we discuss the determination of atmospheric parameters using only NIRSpec or MIRI spectra. Comparisons with results from the combined spectra show that the effective temperatures and surface gravities derived solely from NIRSpec spectra are largely consistent with those obtained from the combined spectra.