Article
Mathematics, Interdisciplinary Applications
Fuyong Wang, Jiong Fu
Summary: This paper proposes a fractal model for predicting the ALP of shale with dual wettability, considering the nonflowing boundary layer effect of water in inorganic pores and the slip effect in organic pores. The research results show that the nonflowing boundary layer can reduce the ALP of inorganic pores, but slip effect will increase the ALP of organic pores.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2021)
Article
Energy & Fuels
Jilong Xu, Wendong Wang, Bing Ma, Yuliang Su, Han Wang, Shiyuan Zhan
Summary: In this study, a two-fluid system model was established to calculate the oil flow rate in a single nanopore, and a spatial distribution model of shale components was constructed. A stochastic apparent permeability model of shale oil was established by combining the two models. The model showed that slip length in organic matter nanopores is greater than in inorganic minerals, but the effect of organic matter slip on apparent permeability increases and then decreases with decreasing mean pore size when organic content is low, resulting in less flow enhancement in shale compared to a single nanopore.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Energy & Fuels
Dongying Wang, Jun Yao, Zhangxin Chen, Wenhui Song, Mingyu Cai, Miao Tian, Jiaqi Zhang, Weiqi Xu
Summary: This study proposes a comprehensive model for estimating dynamic apparent gas permeability (DAGP) during depressurization, taking into account the morphological properties of organic matter and inorganic matter/organic matter pores, as well as multiple transport mechanisms and pore size changes. The research reveals that the controlling factor of DAGP is pore size shrinkage due to a poromechanical response to gas transport mechanisms at a high Young's modulus, while it is completely controlled by poromechanical response at a low Young's modulus.
Article
Energy & Fuels
Hong Zuo, Cheng Zhai, Shouchun Deng, Xiaofang Jiang, Farzam Javadpour
Summary: In this study, gaseous microflow in nanoporous media of ultratight shale strata was reexamined using ultra-precise FIB-SEM experiments and the Quartet Structure Generation Set (QSGS) method. A high-performance, parallelized MRT-LBM model was developed to predict shale gas flow in reconstructed nanoporous media, and it accurately predicted gaseous microflow in different flow regimes. Pore-scale simulations were performed to study the effects of pore heterogeneity and slippage on shale gas permeability, revealing that gas slippage is suppressed by pore tortuosity, wall curvature, and surface roughness.
Article
Mechanics
Tao Zhang, Liehui Zhang, Yulong Zhao, Ruihan Zhang, Dongxu Zhang, Xiao He, Feng Ge, Jianfa Wu, Farzam Javadpour
Summary: This study investigates the gas-water transient imbibition and drainage processes in two-dimensional nanoporous media using a lattice Boltzmann model. Sensitivity analyses were performed on fluid and rock characteristics, revealing the fingering nature of the nonwetting phase. The study provides insights into the microscopic ganglia dynamics of gas-water two-phase flow in nanoporous media.
Article
Energy & Fuels
Shulei Duan, Bobo Li, Zheng Gao, Jianhua Li, Haosheng Song, Yunna Ding
Summary: This study developed a dynamic fractal dimension and permeability model for coal by considering the coupling actions of stress and water. The complex and variable environment of coal reservoirs and the interlocking and coupled effects of various factors have been rarely considered in previous theoretical studies. The newly developed model was verified to accurately predict the permeability evolution of coal under dynamic changes in stress and water.
Article
Energy & Fuels
Shulei Duan, Bobo Li, Zheng Gao, Jianhua Li, Haosheng Song, Yunna Ding
Summary: The environment of coal reservoirs is complex and variable, and previous theoretical studies rarely considered the coupling effects between various factors. This study introduced pore compressibility and dynamic water saturation as parameters to quantitatively represent the internal interactions between stress and water. Based on the results, a new apparent permeability model of coal with dynamic fractal dimensions was established and validated using experimental data. This study provides a new analytical perspective for investigating the change mechanisms of coal permeability.
Article
Energy & Fuels
Yafei Luo, Binwei Xia, Honglian Li, Huarui Hu, Mingyang Wu, Kainan Ji
Summary: Coal is a dual-porosity medium with internal pore-fracture structure, and understanding the relationship between permeability and pore-fracture structure characteristics is crucial for predicting coalbed methane productivity accurately. A new fractal permeability model of dual-porosity media embedded with natural tortuous fractures has been established in this study, showing improved accuracy in predicting coal seam permeability compared to traditional models. The numerical simulation results demonstrate strong power-law relationships between coal permeability and fracture geometric characteristic parameters, validating the proposed model's accuracy.
Article
Polymer Science
Tao Wu, Qian Wang, Shifang Wang
Summary: The apparent gas permeability model for real gas flow in fractured porous media, derived in this paper, takes into account real gas effects, the roughness of fracture surface, and Knudsen diffusion based on fractal theory. The predictions match well with published permeability models and experimental data, confirming the rationality of the proposed model.
Article
Thermodynamics
Yuhao Hu, Guannan Liu, Ning Luo, Feng Gao, Fengtian Yue, Tao Gao
Summary: This study establishes a structural analysis model for shale gas based on fractal geometry theory and multi-scale models. The results demonstrate the significant impact of effective stress, local mechanical property changes, and adsorption effects on shale gas production rate.
Article
Geosciences, Multidisciplinary
Binyu Ma, Qinhong Hu, Shengyu Yang, Hongguo Qiao, Xiugang Pu, Wenzhong Han
Summary: Quantifying the wettability of shales is crucial for reservoir evaluation and petroleum production prediction. This study presents an improved liquid-liquid extraction (LLE) technique using particles to determine the wettability of lacustrine shales. The effectiveness of this technique is demonstrated by good repeatability and a simple model is proposed to analyze the particle behavior.
MARINE AND PETROLEUM GEOLOGY
(2022)
Article
Physics, Fluids & Plasmas
Bowen Hu, J. G. Wang
Summary: The study presents a combination approach of fractal theory and lattice Boltzmann method (LBM) to simulate gas diffusion in fractal multiscale microstructures of a nanoporous medium. It is found that effective gas diffusivity in a microstructure is higher for a smaller range of Knudsen number, and bigger pore diameter fractal dimension and smaller tortuosity fractal dimension lead to lower gas diffusion resistance and higher effective gas diffusivity. This combination approach offers a powerful tool for estimating effective gas diffusivity in complex nanoporous media.
Article
Thermodynamics
Jinghua Yang, Min Wang, Lei Wu, Yanwei Liu, Shuxia Qiu, Peng Xu
Summary: This study predicts the rarefied gas flow through shale reservoir using a fractal probability law and Monte Carlo technique, showing that the apparent gas permeability (AGP) increases with the increment of Knudsen number. Increased pore fractal dimension reduces AGP and intrinsic permeability, but enhances the permeability ratio.
Article
Engineering, Petroleum
Wenhui Song, Ying Yin, Christopher J. Landry, Masa Prodanovic, Zhiguo Qu, Jun Yao
Summary: The study introduces a new gas transport model that accurately predicts gas transport behavior in nanoporous media, including properties such as shape, Knudsen number, and surface roughness. This model can help researchers better understand the transport mechanisms of gases in heterogeneous pores.
Article
Multidisciplinary Sciences
Ke Gao, Zhipeng Qi, Yujiao Liu, Jinyi Zhang
Summary: Real-time mine ventilation network solution is the core way to achieve intelligent ventilation. This solution utilizes fractal theory to characterize the three-dimensional roughness characteristics of tunnel surrounding rock and describes the roughness using fractal dimension and fractal intercept. Through practical application and simulation comparison, it has been demonstrated that this method can quickly and accurately calculate the airflow friction resistance of tunnels.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Chemical
Zheng Sun, Suran Wang, Hao Xiong, Keliu Wu, Juntai Shi
Summary: Efficiency in transport is crucial for energy conversion and water filtration. A simple model regarding nanocone structure design has been established to bridge the knowledge gap. Results show that optimal nanocone geometry can achieve the best flow behavior, providing a theoretical framework for nanocone design.
Article
Engineering, Chemical
Zheng Sun, Bingxiang Huang, Shuhui Yan, Shuolong Wang, Keliu Wu, Weichao Yu, Yaohui Li, Suran Wang
Summary: In this article, the nanoconfinement effect is studied and the impact of surface wettability on confined substance behavior is revealed. By modifying the Peng-Robinson equation of state and considering the shift of critical properties induced by surface affinity, the study describes the effect of both pore size shrinkage and surface wettability on substance interaction. Experimental results show that nanoconfined methane behavior exhibits characteristics different from what traditional models predict.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Review
Energy & Fuels
Zhiyuan Jiang, Wenkai Wang, Huangyi Zhu, Ying Yin, Zhiguo Qu
Summary: This work presents a review of the recent progress in the prediction of shale gas transport in porous media. The basic theory of gas transport in nanopores is discussed, covering gas transport in organic and inorganic matter and the gas adsorption effect. Gas transport simulations with conventional multiscale numerical methods and the application of artificial intelligence (AI) methods in shale gas transport research are also discussed. The focus is on the characterization of shale porous geometry and the prediction of porous flow properties using AI-based methods.
Article
Geochemistry & Geophysics
Xiaocai Shan, Zhangxin Chen, Boye Fu, Wang Zhang, Jing Li, Keliu Wu
Summary: We introduce a novel deep spatial-sequential graph convolutional network (SSGCN) for predicting total organic carbon (TOC) by leveraging cross-log topological association features and log-specific sequential features, outperforming existing methods. In the southeast Sichuan Basin, SSGCN shows better cross-validation performance and generalizability. Our SSGCN method can predict TOC with an R-2 value of 0.87 within 1 second, increasing efficiency in obtaining TOC parameter. We recommend using graph and sequential convolutions in well-log analysis deep learning architectures.
Article
Chemistry, Physical
Zheng Sun, Bingxiang Huang, Suran Wang, Keliu Wu, Haoze Li, Yonghui Wu
Summary: This research investigates the storage of hydrogen into nanopores using adsorption property, and explores its advantages over traditional high-pressure injection method. The proposed model shows excellent agreements with experimental and simulation data, confirming its reliability. Results indicate that nanopores can store more hydrogen molecules than the traditional high-pressure injection method, and modifying nanopore surface chemistry can significantly improve the adsorption capacity of nanoconfined hydrogen.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Biochemistry & Molecular Biology
Jie Liu, Tao Zhang, Shuyu Sun
Summary: The ion transport in protein nanochannels during peritoneal dialysis was investigated using molecular dynamics (MD) simulations and the MD Monte Carlo (MDMC) algorithm. The spatial distribution of ions and their temporal properties were accurately predicted, validating the suitability of the MDMC method for handling ion transport problems in protein nanochannels.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Environmental Sciences
Tao Zhang, Guangyuan Tan, Weihua Bai, Yueqiang Sun, Yuhe Wang, Xiaotian Luo, Hongqing Song, Shuyu Sun
Summary: In this paper, the possible relationship between the maximum electron density, the corresponding critical frequency, and the occurrence of earthquakes is explored. A new disturbance frequency index is proposed as a novel method to help forecast earthquakes. By using this index, earthquake occurrence can be forecasted five days ahead of detection.
Article
Electrochemistry
Xin-Chun Zhang, Nan-Nan Liu, Si-Jie Dong, Tao Zhang, Xiao-Di Yin, Tie-Jun Ci, He-Xiang Wu
Summary: This study investigates the dynamic failure mechanisms of cylindrical lithium-ion batteries (LIBs) under different impact loadings. The crushing behaviors of 18650 LIBs were experimentally analyzed through drop weight impact tests with different impactor heads. The force-electric responses of a LIB under multiple impacts were explored by changing the state of charge (SOC) of the battery, impactor types, and impact energy. The results provide guidance for the crashworthiness design and safety assessment of batteries under multiple impacts.
JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE
(2023)
Article
Chemistry, Multidisciplinary
Dayong Chen, Zheng Sun
Summary: This study investigates the characteristics of wellbore fluid flow and hydrate flow assurance problems during deep-water gas well cleanup. It reveals the distribution of gas-liquid flow patterns in the wellbore and conducts transient numerical simulations. A hydrate risk prediction model is developed to predict the risk under different cleaning conditions. The results show temperature variation at the wellhead and mud line, different flow patterns in the wellbore under low and high wellhead pressures, and the effectiveness of mitigating hydrate risk through proper cleaning speed and hydrate inhibitors.
Article
Multidisciplinary Sciences
Ying Yin, Zhiguo Qu, Masa Prodanovic, Christopher J. Landry
Summary: Gas transport mechanisms in nanoporous media were studied, and the dominant mechanism was evaluated using the diffusion-flow ratio. The results showed that the apparent permeability and diffusivity increased with the increase of Knudsen numbers in both single nanoscale pores and nanoporous media. In single nanoscale pores, viscous flow dominated when Kn values were between 0.01 and 100.
FUNDAMENTAL RESEARCH
(2023)
Article
Engineering, Chemical
Guodai Wu, Bingxiang Huang, Lijun Cheng, Jinhua Luan, Ruigang Zhang, Ziwei Chen, Chunlin Zeng, Zheng Sun
Summary: The fatal challenge faced by humans is global warming caused by excessive CO2 emissions in the atmosphere. CO2 sequestration, injecting gaseous CO2 into ultra-tight geological sites, is considered a promising method for substantial CO2 reduction. This study focuses on the CO2 storage potential in depleted shale or coal seams where nanopores are abundant, and CO2 molecules are stored in both bulk and adsorption states. Currently, there is a lack of microscopic characterization of CO2 behavior in nanospace, particularly in quantitatively describing the difference between CO2 in adsorption and bulk states.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Chemical
Zheng Sun, Guodai Wu, Bingxiang Huang, Lijun Cheng, Jinhua Luan, Ruigang Zhang, Ziwei Chen, Chunlin Zeng
Summary: This study investigates the impact of surface-molecule interaction strength on CO2 storage in nanopores and finds that increasing the interaction strength can significantly improve CO2 storage capacity. However, the difference diminishes under high-pressure conditions, and neglecting the shift of CO2 critical properties can lead to overestimation of CO2 density.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Review
Green & Sustainable Science & Technology
Tao Zhang, Dongxin Huo, Chengyao Wang, Zhengrong Shi
Summary: This study summarizes different methods to solve the phase transition process, discusses the advantages of employing CFD software to simulate the process, and reveals the influences of natural convection and nanoparticles on solidification/melting processes. The challenges and future developments in solution methods are also prospected.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Engineering, Petroleum
Guoxiang Zhao, Yuedong Yao, Tao Zhang, Lian Wang, Caspar Daniel Adenutsi, Nashaat N. Nassar
Summary: The application of horizontal well drilling technology and volume fracturing technique makes the economic development of shale oil reservoirs feasible. The unknown fracture networks lead to severe nonlinearity and high uncertainty during fracture characterization. Therefore, effectively representing the fracture network and coping with the non-Gaussian distribution of reservoir model parameters are the key challenges for history matching in fractured shale oil reservoirs.
Article
Energy & Fuels
Xuhai Pan, Langqing Lu, Tao Zhang, Yiming Jiang, Yunyu Li, Zhilei Wang, Min Hua, Juncheng Jiang
Summary: The suppression of hydrogen spontaneous combustion is crucial for the sustainable development of hydrogen energy. Reducing the area of the leak port has been proven to be a feasible method. This study investigates the effect of leak port areas and tube lengths on the suppression of hydrogen spontaneous combustion. The results show that reducing the leak port area increases combustible concentration while decreasing shock wave intensity and the possibility of hydrogen self-ignition. Furthermore, the effect of tube length on the suppression method diminishes as the leak area decreases.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Chemical
Qing Han, Mengqing Shi, Linkai Han, Di Liu, Mingwei Tong, Yuxin Xie, Zhonghua Xiang
Summary: Developing highly efficient bifunctional oxygen electrocatalysts is crucial for zinc-air flow batteries. Metal-organic frameworks (MOFs) and covalent organic polymers (COPs) have emerged as promising alternatives due to their designable and controllable atomic-level structures. However, their catalytic performances are limited by conductivity and catalytic activity. In this study, nanosheet FeNi-MOF and iron phthalocyanine rich COP hybrid materials are assembled through the pi-pi stacking effect to create highly efficient bifunctional electrocatalysts. The resulting catalyst exhibits superior catalytic performance and stability, making it a promising candidate for zinc-air flow batteries.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Daria Grigorash, Dmytro Mihrin, Rene Wugt Larsen, Erling H. Stenby, Wei Yan
Summary: The article introduces a new approach to describe the cross-association between molecules, allowing for the simulation of weakly bound molecular complexes with different conformations in mixtures. By incorporating this approach into the equation of state, accurate predictions of vapor-liquid equilibrium and liquid-liquid equilibrium can be made. The new method is validated through experiments on alcohol and acid mixtures, with the results compared to experimental data, demonstrating its accuracy and reliability.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Mohammed Al-Sharabi, Daniel Markl, Vincenzino Vivacqua, Prince Bawuah, Natalie Maclean, Andrew P. E. York, Axel Zeitler
Summary: This study used terahertz pulsed imaging to investigate the transport process of different solvents into ceramic catalytic materials. The results showed that the heating rate of the samples influenced the water transport rate, while the viscosity of 1-octanol slowed down its transport.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Chukwunonso Anyaoku, Sati Bhattacharya, Rajarathinam Parthasarathy
Summary: This study aimed to enhance understanding of settling dynamics in viscoelastic fluids by developing a semi-empirical correlation and a dimensionless ratio, which accurately described the characteristics of settling suspensions.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Antti I. Koponen, Janika Viitala, Atsushi Tanaka, Baranivignesh Prakash, Olli-Ville Laukkanen, Ari Jasberg
Summary: This study focuses on the development of foam application chemicals for the paper and board industry. The research explores the rheology of the polyvinyl alcohol foam used in the process. Measurements were conducted to determine the foam viscosity and slip flow. The results suggest that slip flow contributes significantly to the total flow rate, and the obtained viscosity and slip models provide a solid foundation for industrial processes.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Dalei Sun, Jinghui Cai, Yating Yang, Zhiwu Liang
Summary: In this study, Fe-doped alpha-Bi2O3 catalysts with different Fe/Bi molar ratios were synthesized and utilized in the carbonylation of isobutyl amine with CO2. The results showed that Fe doping significantly enhanced the catalytic abilities of alpha-Bi2O3.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Yuan Tian, Xinxin Wang, Yanrong Liu, Wenping Hu
Summary: This paper predicts the solubility of nitrogen gas in ionic liquids (ILs) using two quantitative structure-property relationship (QSPR) models. By combining machine learning methods and ionic fragments contribution method, the accuracy and reliability of the prediction models are improved.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Liwang Wang, Wei Liu, Pan Yang, Yulong Chang, Xiaoxu Duan, Lingyu Xiao, Yaoming Hu, Jiwei Wu, Liang Ma, Hualin Wang
Summary: This study investigates the effective phase interfacial area (ae) of hydro-jet cyclones at different injection angles. The results show that a 45 degrees upward incidence angle yields the most favorable flow field characteristics for efficient mass transfer. The significant enhancement in ae of the hydro-jet cyclones offers the advantage of reducing equipment volume and cost savings.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Chuanjun Wu, Jiangzhi Chen, Jiyue Sun, I-Ming Chou, Shenghua Mei, Juezhi Lin, Lei Jiang
Summary: In this study, the solubility of H2S hydrate in water was measured using Raman spectroscopy. The results showed that the solubility increases with temperature under certain equilibrium conditions, and the solubility also depends on pressure and temperature under different equilibrium conditions. A thermodynamic model based on the van der Waals-Platteeuw theory was developed to predict the solubility, demonstrating its accuracy.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Lorenzo Brivio, Serena Meini, Mattia Sponchioni, Davide Moscatelli
Summary: This study investigates the influence of three main parameters and proposes a kinetic model to predict the optimal operating conditions for high yield of dimethyl terephthalate (DMT) in the chemical recycling process of polyethylene terephthalate (PET).
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Hongju Lin, Fanhui Liao, Yanchang Chu, Mingyu Xie, Lun Pan, Yuanyuan Wang, Lijian Leng, Donghai Xu, Le Yang, Gangfeng Ouyang
Summary: A honeycomb NiCo/C-Na catalyst with a micro-meso-macroporous structure has been fabricated and shown to have significantly higher catalytic activity for the decarboxylation of fatty acids. It also proves to be efficient in upgrading sludge HTL bio-crude, resulting in a biofuel with decreased viscosity and increased density.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Xiaoxian Li, Rui Li, Min Lin, Mingde Yang, Yulong Wu
Summary: A series of coated non-noble metal porous carbon catalysts were synthesized and applied to the aqueous-phase deoxygenation of algal bio-oil. One of the catalysts showed excellent deoxygenation selectivity and catalytic activity at 250 degrees C. The catalyst exhibited good hydrothermal stability and the reaction mechanism was proposed based on product analysis and active site analysis.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
M. V. Chudakova, M. V. Popov, P. A. Korovchenko, E. O. Pentsak, A. R. Latypova, P. B. Kurmashov, A. A. Pimenov, E. A. Tsilimbaeva, I. S. Levin, A. G. Bannov, A. V. Kleymenov
Summary: A series of catalysts with different potassium contents were prepared using solution combustion synthesis and characterized using various techniques. The results showed that the potassium content affected the phase composition and texture of the catalysts. The addition of a small amount of potassium resulted in a change in particle size distribution, leading to higher hydrogen yield. The Ni-1%K2O/Al2O3 catalyst exhibited the highest hydrogen yield at temperatures of 675 and 750 degrees Celsius.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Aliakbar Roosta, Nima Rezaei
Summary: In this study, we modified the electrolyte cubic plus association equation of state (e-CPA EoS) and integrated it with two electrical conductivity models to estimate the electrical conductivity of 11 monovalent electrolyte solutions in water. The modified e-CPA model demonstrated better performance and the hybridization with electrical conductivity models resulted in two predictive models for estimating the electrical conduction of dilute and concentrated electrolyte solutions. These predictive models showed relative average percentage deviations (AARD) of 11.15% and 13.87% over wide ranges of temperature and electrolyte concentration.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Engineering, Chemical
Haoren Niu, Jianzheng Wang, Qingzhu Jia, Qiang Wang, Jin Zhao, Fangyou Yan
Summary: A study developed two quantitative structure-property relationship models for the complexation performance of alpha- and beta-cyclodextrins and validated their stability and predictive ability through internal and external validation. The models showed robustness and satisfactory performance, as demonstrated by the experimental results and model validations. These models can effectively predict the binding constants between cyclodextrins and various types of molecules, providing valuable tools for cyclodextrin design.
CHEMICAL ENGINEERING SCIENCE
(2024)
