Biying Qiu^1,2, Niwu Te², Lin Song², Yuan Shi², Chuan Qiu², Xiaoan Zuo³, Qiang Yu⁴, Jianqiang Qian⁵, Zhengwen Wang², Honghui Wu^6,7, Wentao Luo^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 831-841, 2024, DOI:10.32604/phyton.2024.047560

Abstract The responses of ecosystem nitrogen (N) and phosphorus (P) to drought are an important component of global change studies. However, previous studies were more often based on site-specific experiments, introducing a significant uncertainty to synthesis and site comparisons. We investigated the responses of vegetation and soil nutrients to drought using a network experiment of temperate grasslands in Northern China. Drought treatment (66% reduction in growing season precipitation) was imposed by erecting rainout shelters, respectively, at the driest, intermediate, and wettest sites. We found that vegetation nutrient concentrations increased but soil nutrient concentrations decreased along the aridity gradient. Differential responses were… More >

Parth Khandelwal¹, Harshit², Indranil Manna^1,3,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1727-1755, 2024, DOI:10.32604/cmc.2024.042752

Abstract Metallic alloys for a given application are usually designed to achieve the desired properties by devising experiments based on experience, thermodynamic and kinetic principles, and various modeling and simulation exercises. However, the influence of process parameters and material properties is often non-linear and non-colligative. In recent years, machine learning (ML) has emerged as a promising tool to deal with the complex interrelation between composition, properties, and process parameters to facilitate accelerated discovery and development of new alloys and functionalities. In this study, we adopt an ML-based approach, coupled with genetic algorithm (GA) principles, to design novel copper alloys for achieving… More > Graphic Abstract

Fengchang Yang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09747

Abstract Mineral nucleation and precipitation commonly occur in nature and plays an important role in many energyrelated applications with reactive flow. For instance, minerals nucleate and precipitate as scale in the pore structure in unconventional reservoirs and significantly reduce the permeability of the porous media. This phenomenon could lead to a rapid decrease in production and cause significant financial loss. The need to predict the dynamic properties of such systems has resulted in questions about the fundamental mechanisms of reactive flow as well as mineral nucleation and precipitation in pores. Additionally, there is still a discrepancy between laboratory molecular scale findings… More >

Shasha Feng^*, Yi Liao, Weixin Liu, Jianwen Dai, Mingying Xie, Li Li

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.2, pp. 275-292, 2024, DOI:10.32604/fdmp.2023.041825

Abstract Asphaltene deposition is a significant problem during gas injection processes, as it can block the porous medium, the wellbore, and the involved facilities, significantly impacting reservoir productivity and ultimate oil recovery. Only a few studies have investigated the numerical modeling of this potential effect in porous media. This study focuses on asphaltene deposition due to natural gas and CO₂ injection. Predictions of the effect of gas injection on asphaltene deposition behavior have been made using a 3D numerical simulation model. The results indicate that the injection of natural gas exacerbates asphaltene deposition, leading to a significant reduction in permeability near… More > Graphic Abstract

Hailong Nie¹, Xincheng Shi¹, Wenkui Yang¹, Kaile Wang¹, Yuhong Zhao^2,1,3,*

CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1425-1443, 2023, DOI:10.32604/cmc.2023.044510

Abstract Previous studies of hydride in zirconium alloys have mainly assumed an isotropic interface. In practice, the difference in crystal structure at the interface between the matrix phase and the precipitate phase results in an anisotropic interface. With the purpose of probing the real evolution of hydrides, this paper couples an anisotropy function in the interfacial energy and interfacial mobility. The influence of anisotropic interfacial energy and interfacial mobility on the morphology of hydride precipitation was investigated using the phase-field method. The results show that the isotropy hydride precipitates a slate-like morphology, and the anisotropic hydride precipitates at the semi-coherent and… More >

Xincan Song^1,3,4, Lin Wang^1,3,4,*, Cheng Yu^1,2, Jiaxin Chen^1,3,4, Linjie Ma^1,3,4

Energy Engineering, Vol.120, No.8, pp. 1837-1852, 2023, DOI:10.32604/ee.2023.027637

Abstract The coupled formation of wax crystals and hydrates is a critical issue for the safety of deep-sea oil and gas exploration and subsea transport pipeline flow. Therefore, this paper conducts an experimental study on the characteristics of methane hydrate formation in a water-in-oil (W/O) system with different wax crystal contents and explores the influence of different initial experimental pressures on the induction period and maximum rate of hydrate formation. The wavelet function was introduced to process the reaction rate and calculate the maximum speed of hydrate formation. Notably, the higher the pressure, the smaller the maximum rate of hydrate formation.… More >

Junzhen Di, Xueying Sun^*, Siyi Zhang, Yanrong Dong, Bofu Yuan

Journal of Renewable Materials, Vol.11, No.5, pp. 2209-2232, 2023, DOI:10.32604/jrm.2023.025241

Abstract To address the serious pollution of heavy metals in AMD, the difficulty and the high cost of treatment, Fe₃O₄-L was prepared by the chemical co-precipitation method. Based on the single-factor and RSM, the effects of particle size, total Fe concentration, the molar ratio of Fe²⁺ to Fe³⁺ and water bath temperature on the removal of AMD by Fe₃O₄-L prepared by chemical co-precipitation method were analyzed. Static adsorption experiments were conducted on Cu²⁺, Zn²⁺ and Pb²⁺ using Fe₃O₄-L prepared under optimal conditions as adsorbents. The adsorption properties and mechanisms were analyzed by combining SEM-EDS, XRD and FTIR for characterization. The study… More > Graphic Abstract

Bo Shi¹, Dandan Zhu^2,*, Pengxiang Lei³, Ximin Li⁴, Hengbo Xiao⁴, Lihua Qian^4,*

Journal of Renewable Materials, Vol.11, No.4, pp. 1951-1961, 2023, DOI:10.32604/jrm.2023.025271

Abstract High purity ammonium metavanadate (NH₄VO₃) is the most vital chemical to produce V₂O₅, VO₂, VN alloy, VFe alloy and VOSO₄, which have some prospective applications for high strength steel, smart window, infrared detector and imaging, large scale energy storage system. NH₄VO₃ is usually produced by spontaneous crystallization from the aqueous solution due to its sharp dependence of solubility on the temperature. However, hazardous chemicals in industrial effluent, include phosphorate, silicate and arsenate, causing severe damage to the environment. In this work, these impurities are selectively precipitated onto inorganic flocculants, while the vanadate dissolved in an aqueous solution keeps almost undisturbed.… More > Graphic Abstract

Wei Fang^1,2,*, Liang Shen¹, Victor S. Sheng³, Qiongying Xue¹

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4867-4877, 2022, DOI:10.32604/cmc.2022.027197

Abstract Precipitation nowcasting is of great significance for severe convective weather warnings. Radar echo extrapolation is a commonly used precipitation nowcasting method. However, the traditional radar echo extrapolation methods are encountered with the dilemma of low prediction accuracy and extrapolation ambiguity. The reason is that those methods cannot retain important long-term information and fail to capture short-term motion information from the long-range data stream. In order to solve the above problems, we select the spatiotemporal long short-term memory (ST-LSTM) as the recurrent unit of the model and integrate the 3D convolution operation in it to strengthen the model's ability to capture… More >

Mirza Adnan Baig^*, Ghulam Ali Mallah, Noor Ahmed Shaikh

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4201-4213, 2022, DOI:10.32604/cmc.2022.026225

Abstract Precipitation prediction (PP) have become one of the significant research areas of deep learning (DL) and machine vision (MV) techniques are frequently used to predict the weather variables (WV). Since the climate change has left significant impact upon weather variables (WV) and continuously changes are observed in temperature, humidity, cloud patterns and other factors. Although cloud images contain sufficient information to predict the precipitation pattern but due to changes in climate, the complex cloud patterns and rapid shape changing behavior of clouds are difficult to consider for rainfall prediction. Prediction of rainfall would provide more meticulous assistance to the farmers… More >