Statistical Physics Quantification of Steric, Energetic and Thermodynamic Adsorption Attributes of Methylene Blue onto Super-Adsorbent Hydrogel (NaSS-DMA monomers) for water detoxification DOI Creative Commons
Fatma Aouaini, Kods Oueslati,

A. Naifar

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 18, 2024

Abstract Through a statistical physics modeling approach, detailed theoretical scrutiny was conducted utilizing four distinct models based on the grand canonical ensemble to fit Methylene Blue adsorption isotherms onto NaSS-DMA hydrogel surface. Steriographic along with energetic-thermodynamic metrics have been inspected in response combined effects of temperature and concentration. The uptake process best described by bimodal-energy linking monolayer scenario involving two sites energies (𝜀1 = 15.73 kJ/mol 𝜀2 17.85 kJ/mol) characterized multi-molecule (n1 8.383 n2 2.5967) at T 295 K. discussion revealed that position adsorbate is non-parallel but larger number entities can be anchored same receptor site. docking reaction exothermic when concentration exceeds 95 mg/L, adsorbed amount decreases significantly incremented heat conditions. More importantly, investigated primarily driven weak van der Waals forces (energies below 45 while negative values Gibbs free energy validated its spontaneity. These outcomes supported development robust mathematical framework accurately predicts removal efficiencies surface providing deeper understanding involved nanoscale linking.

Язык: Английский

Machine learning-based Monte Carlo hyperparameter optimization for THMs prediction in urban water distribution networks DOI
Mansour Baziar, Ali Behnami, Negar Jafari

и другие.

Journal of Water Process Engineering, Год журнала: 2025, Номер 73, С. 107683 - 107683

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

3
Azo Dye Bioremediation: An Interdisciplinary Path to Sustainable Fashion DOI Creative Commons
Gajendra B. Singh, Ankita Vinayak, Gaurav Mudgal

и другие.

Environmental Technology & Innovation, Год журнала: 2024, Номер unknown, С. 103832 - 103832

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

11
Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives DOI

Wajeeha Pervaiz,

Muhammad Afzal,

Niu Feng

и другие.

Trends in Food Science & Technology, Год журнала: 2025, Номер unknown, С. 104872 - 104872

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2
Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting DOI Creative Commons

Muhammad Asif,

Monique M. Kuglitsch,

Ivanka Pelivan

и другие.

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Abstract Among natural hazards, floods pose the greatest threat to lives and livelihoods. To reduce flood impacts, short-term forecasting can contribute early warnings that provide communities with time react. This manuscript explores how machine learning (ML) support forecasting. Using two methods [strengths, weaknesses, opportunities, threats (SWOT) comparative performance analysis] for different forecast lead times (1–6, 6–12, 12–24, 24–48 h), we evaluate of models in 94 journal papers from 2001 2023. SWOT reveals best was produced by hybrid, random forest (RF), long memory (LSTM), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) approaches. The analysis, meanwhile, favors convolutional network, ANFIS, multilayer perceptron, k-nearest neighbors algorithm (KNN), LSTM, ANN, vector (SVM) at 1–6 h; LSTM 6–12 SVM, RF 12–24 hybrid h. In general, approaches consistently perform well across all times. Trends such as hybridization, model selection, input data decomposition seem improve accuracy models. Furthermore, effective stand-alone ML RF, genetic algorithm, KNN, better outcomes through hybridization other By including parameters environmental, socio-economical, climatic parameters, produce more accurate forecasting, making it warning operational purposes.

Язык: Английский

Процитировано

1
Removal of Volatile Organic Compounds from Gases with Innovative Electrochemically-Assisted Reactive Absorbers DOI Creative Commons

Andrea N. Arias-Sánchez,

Justo Lobato, Manuel A. Rodrigo

и другие.

Environmental Processes, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

1
Statistical physics quantification of steric, energetic and thermodynamic adsorption attributes of methylene blue onto sodium styreneSulfonate-co-dimethylacrylamide super-adsorbent hydrogel for water detoxification DOI
Fatma Aouaini, Kods Oueslati,

A. Naifar

и другие.

Adsorption, Год журнала: 2025, Номер 31(2)

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
The Critical Role of Artificial Intelligence in Optimizing Electrochemical Processes for Water and Wastewater Remediation: A State-of-the-Art Review DOI Creative Commons
Milad Mousazadeh, Zeinab Hajalifard, Milad Basirifard

и другие.

ACS ES&T Water, Год журнала: 2025, Номер unknown

Опубликована: Май 28, 2025

Язык: Английский

Процитировано

0
Statistical Physics Quantification of Steric, Energetic and Thermodynamic Adsorption Attributes of Methylene Blue onto Super-Adsorbent Hydrogel (NaSS-DMA monomers) for water detoxification DOI Creative Commons
Fatma Aouaini, Kods Oueslati,

A. Naifar

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 18, 2024

Abstract Through a statistical physics modeling approach, detailed theoretical scrutiny was conducted utilizing four distinct models based on the grand canonical ensemble to fit Methylene Blue adsorption isotherms onto NaSS-DMA hydrogel surface. Steriographic along with energetic-thermodynamic metrics have been inspected in response combined effects of temperature and concentration. The uptake process best described by bimodal-energy linking monolayer scenario involving two sites energies (𝜀1 = 15.73 kJ/mol 𝜀2 17.85 kJ/mol) characterized multi-molecule (n1 8.383 n2 2.5967) at T 295 K. discussion revealed that position adsorbate is non-parallel but larger number entities can be anchored same receptor site. docking reaction exothermic when concentration exceeds 95 mg/L, adsorbed amount decreases significantly incremented heat conditions. More importantly, investigated primarily driven weak van der Waals forces (energies below 45 while negative values Gibbs free energy validated its spontaneity. These outcomes supported development robust mathematical framework accurately predicts removal efficiencies surface providing deeper understanding involved nanoscale linking.

Язык: Английский

Процитировано

0