Menad Nait Amar - Publications, H-index & Citations

Menad Nait Amar

division laboratoires

36H指数

150论文数

2.8K被引数

收录论文 45

发表时间

Data-driven and explainable modeling of hydrogen sulfide hydrate dissociation in aqueous electrolyte solutions 基于数据驱动和可解释的模型对水溶液电解质中硫化氢水合物分解的建模

Chemometrics and Intelligent Laboratory Systems

IF3.8

2026-07-20

PREAI

Mohamed Riad Youcefi; Saad Alatefi; Menad Nait Amar; Ahmad Alkouh

Explainable advanced modelling of interfacial tension in H2 – CO2 – CH4 – brine systems for sustainable subsurface storage in saline aquifer

Journal of Contaminant Hydrology

IF4.4

2025-12-24

PREAI

Saad Alatefi; Okorie Ekwe Agwu; Menad Nait Amar; Ahmad Alkouh

Comparative analysis of robust machine learning models for predicting CO2 uptake in porous liquids: Insights for environmental applications 多孔液体中CO2吸收预测的鲁棒机器学习模型比较分析：环境应用启示

Applied Soft Computing

IF6.6

2025-11-24

PREAI

Saad Alatefi; Okorie Ekwe Agwu; Menad Nait Amar; Ahmad Alkouh

Compositional machine learning frameworks for predicting mercury solubility in natural gas: Bridging predictive accuracy with environmental and operational integrity 用于预测天然气中汞溶解度的组合机器学习框架：连接预测精度与环境及运行完整性

Science of The Total Environment

IF8

2025-11-11

PREAI

Saad Alatefi; Menad Nait Amar; Ahmad Alkouh

Predicting viscosity of CO2-CH4 binary mixtures using robust white-box machine learning frameworks: implication for carbon capture, utilization, and storage 利用稳健的白盒机器学习框架预测CO2-CH4二元混合物的粘度：对碳捕获、利用与封存的意义

Journal of Petroleum Exploration and Production Technology

IF3.2

2025-11-06

OAAI

Alatefi, Saad; Youcefi, Mohamed Riad; Amar, Menad Nait; Djema, Hakim

Modeling CO2 adsorption capacity of diverse porous adsorbent materials: robust machine learning frameworks and insights from local and global explainable artificial intelligence 模拟多种多孔吸附剂材料的CO2吸附容量：鲁棒机器学习框架及来自局部和全局可解释人工智能的见解

Adsorption

IF0

2025-11-02

PREAI

Menad Nait Amar; Saad Alatefi; Ahmad Alkouh; Okorie Ekwe Agwu

Predicting the Viscosity of Hydrogen – Methane Blends at High Pressure for Hydrogen Transportation and Geo-storage: Integration of Robust White-Box Machine Learning Frameworks 预测高压下氢气-甲烷混合物粘度的研究：用于氢气运输和地质储存的鲁棒白盒机器学习框架集成

Digital Chemical Engineering

IF4.1

2025-10-30

OAAI

Saad Alatefi; Mohamed Riad Youcefi; Menad Nait Amar; Hakim Djema

Advancing hydrogen storage: Explainable machine learning models for predicting hydrogen uptake in metal-organic frameworks 推进氢气存储：用于预测金属-有机框架氢气吸附的可解释机器学习模型

Results in Engineering

IF7.9

2025-09-15

OAAI

Saad Alatefi; Okorie Ekwe Agwu; Menad Nait Amar; Ahmad Alkouh

Accurate prediction of water activity in ionic liquid-based aqueous ternary solutions using advanced explainable artificial intelligence frameworks 基于先进可解释人工智能框架对离子液体基水溶液三元体系中水活度的精确预测

Chemical Engineering Science

IF4.3

2025-07-13

PREAI

Saad Alatefi; Menad Nait Amar; Okorie Ekwe Agwu; Ahmad Alkouh

Rigorous Explainable Artificial Intelligence Models for Predicting CO2–Brine Interfacial Tension: Implications for CO2 Sequestration in Saline Aquifers 严格可解释人工智能模型用于预测CO2-盐水界面张力：对盐水含水层中CO2封存的意义

Energy & Fuels

IF5.3

2025-07-09

PREAI

Menad Nait Amar; Mohamed Riad Youcefi; Fahd Mohamad Alqahtani; Hakim Djema; Mohammad Ghasemi

Toward explicit learning frameworks for predicting the solubility of CO2 – N2 gas mixtures in brine: Implication for impure CO2 storage in saline aquifers 面向预测CO2–N2气体混合物在卤水中的溶解度的显式学习框架：对盐水层中不纯CO2储存的启示

Journal of Contaminant Hydrology

IF4.4

2025-06-26

PREAI

Saad Alatefi; Menad Nait Amar; Okorie Ekwe Agwu; Ahmad Alkouh

Machine Learning-Based Estimation of Hydrogen Solubility in Brine for Underground Storage in Saline Aquifers 基于机器学习的盐水含水层地下储氢中氢气溶解度的估算

GREENHOUSE GASES-SCIENCE AND TECHNOLOGY

IF2.8

2025-05-26

PREAI

Fahd Mohamad Alqahtani; Menad Nait Amar; Hakim Djema; Khaled Ourabah; Amer Alanazi; Mohammad Ghasemi

Improved explainable multi-gene genetic programming correlations for predicting carbon dioxide solubility in various brines 改进的可解释多基因遗传编程相关性，用于预测各种盐水中的二氧化碳溶解度

DESALINATION

IF9.8

2025-05-24

PREAI

Youcefi, Mohamed Riad; Alqahtani, Fahd Mohamad; Amar, Menad Nait; Djema, Hakim; Ghasemi, Mohammad

Robust group intelligent models for predicting hydrogen density and viscosity: Implication for hydrogen production, transportation, and storage

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS

IF6.3

2025-03-01

PREAI

Alqahtani, Fahd Mohamad; Youcefi, Mohamed Riad; Amar, Menad Nait; Djema, Hakim; Ghasemi, Mohammad

An interpretable and explainable deep learning model for predicting hydrogen solubility in diverse chemicals 一种可解释和可解释的深度学习模型，用于预测氢在各种化学物质中的溶解度

CHEMICAL ENGINEERING SCIENCE

IF4.3

2025-02-01

PREAI

Youcefi, Mohamed Riad; Alqahtani, Fahd Mohamad; Amar, Menad Nait; Djema, Hakim; Ghasemi, Mohammad

Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage (vol 47, pg 39595, 2022)

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

IF8.3

2023-12-01

OAAI

Ng, Cuthbert Shang Wui; Djema, Hakim; Amar, Menad Nait; Ghahfarokhi, Ashkan Jahanbani

Predicting the solubility of hydrogen in hydrocarbon fractions: Advanced data-driven machine learning approach and equation of state

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS

IF6.3

2023-12-01

PREAI

Amar, Menad Nait; Alqahtani, Fahd Mohamad; Djema, Hakim; Ourabah, Khaled; Ghasemi, Mohammad

On the evaluation of the carbon dioxide solubility in polymers using gene expression programming

SCIENTIFIC REPORTS

IF3.9

2023-08-02

OAAI

Amiri-Ramsheh, Behnam; Amar, Menad Nait; Shateri, Mohammadhadi; Hemmati-Sarapardeh, Abdolhossein

Production optimization under waterflooding with long short-term memory and metaheuristic algorithm (vol 9, pg 53, 2023)

PETROLEUM

IF3.5

2023-06-01

OAAI

Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait

Production optimization under waterflooding with long short-term memory and metaheuristic algorithm

PETROLEUM

IF3.5

2023-03-01

OAAI

Ng, Cuthbert Shang Wui; Ghahfarokhi, Ashkan Jahanbani; Amar, Menad Nait

研究方向