Deep learning analysis of Ar, Xe, Kr, and O2 adsorption on Activated Carbon and Zeolites using ANN approach

Kolbadinejad, Somayeh; Mashhadimoslem, Hossein; Ghaemi, Ahad; Bastos‐Neto, Moises

doi:10.1016/j.cep.2021.108662

Cited by 25 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adsorbent materials community can play a certain role in these efforts through the development of new technologies for efficient air separation. The most widely utilized adsorbent materials in gas separation processes are zeolites, metal–organic frameworks (MOFs), activated carbon (AC), carbon molecular baskets (CMBs), and carbon molecular sieves (CMS). ,− CMS, carbon nanotubes, graphene, granular activated carbon (GAC), and fullerenes are examples of carbon-based adsorbents that are suitable for gas adsorption and are classified by shape, porosity, and structure. − …”

Section: Introductionmentioning

confidence: 99%

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O₂/N₂/CO₂ on Functionalized Granular Activated Carbon

et al. 2022

Self Cite

View full text Add to dashboard Cite

A volumetric system was used to assess carbon-based adsorbents for evaluation of the gas separation, equilibrium, and kinetics of oxygen (O 2 ), nitrogen (N 2 ), and carbon dioxide (CO 2 ) adsorption on granular activated carbon (GAC) and functionalized GAC at 298, 308, and 318 K under pressures up to 10 bar. The effects of ZnCl 2 , pH, arrangement of the pores, and heat-treatment temperature on the adsorptive capabilities of O 2 , N 2 , and CO 2 were evaluated. High-performance O 2 adsorption resulted with a fine sample (GAC-10-500) generated with a 0.1 wt % loading of ZnCl 2 . The optimal sample structure and morphology were characterized by field-emission scanning electron microscopy, Fourier transform infrared spectroscopy, and powder X-ray diffraction. On the basis of the adsorption–desorption results, the fine GAC provides a surface area of 719 m 2 /g. Moreover, it possessed an average pore diameter of 1.69 nm and a micropore volume of 0.27 m 3 /g. At 298 K, the adsorption capacity of the GAC-10-500 adsorbent improved by 19.75% for O 2 but was not significantly increased for N 2 and CO 2 . Isotherm and kinetic adsorption models were applied to select the model best matching the studied O 2 , N 2 , and CO 2 gas uptake on GAC-10-500 adsorbent. At 298 K and 10 bar, the sip isotherm model with the highest potential adsorption difference sequence and gas adsorption difference compared with pure GAC adsorbent as O 2 > N 2 > CO 2 follows well for GAC-10-500. Eventually, the optimal sample is more effective for O 2 adsorption than other gases.

show abstract

Section: Introductionmentioning

confidence: 99%

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O₂/N₂/CO₂ on Functionalized Granular Activated Carbon

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…[ 1a ] Predicting synthesis along with predicting the operating conditions of carbon‐based adsorbents at different temperatures and pressures is one of the applications of ML. [ 331 ] Much research aimed at designing improved adsorbent materials for CO 2 ‐capture systems employed simple indicators based on material attributes such as efficiency, selectivity, and heat of adsorption. [ 332 ] Even though these measurements permitted for a preliminary evaluation, this has been well understood that they do not represent our end objective, which is a cost savings of the CO 2 adsorption process; as a result, so many current researches that integrate process simulation and optimization for measuring performance have been published.…”

Section: Simulation Methodsmentioning

confidence: 99%

Natural Products Derived Porous Carbons for CO₂ Capture

Khosrowshahi,

Mashhadimoslem,

Shayesteh

et al. 2023

Advanced Science

Self Cite

View full text Add to dashboard Cite

As it is now established that global warming and climate change are a reality, international investments are pouring in and rightfully so for climate change mitigation. Carbon capture and separation (CCS) is therefore gaining paramount importance as it is considered one of the powerful solutions for global warming. Sorption on porous materials is a promising alternative to traditional carbon dioxide (CO2) capture technologies. Owing to their sustainable availability, economic viability, and important recyclability, natural products‐derived porous carbons have emerged as favorable and competitive materials for CO2 sorption. Furthermore, the fabrication of high‐quality value‐added functional porous carbon‐based materials using renewable precursors and waste materials is an environmentally friendly approach. This review provides crucial insights and analyses to enhance the understanding of the application of porous carbons in CO2 capture. Various methods for the synthesis of porous carbon, their structural characterization, and parameters that influence their sorption properties are discussed. The review also delves into the utilization of molecular dynamics (MD), Monte Carlo (MC), density functional theory (DFT), and machine learning techniques for simulating adsorption and validating experimental results. Lastly, the review provides future outlook and research directions for progressing the use of natural products‐derived porous carbons for CO2 capture.

show abstract

“…In addition to their architectural intricacies, ANNs deploy activation functions-mathematical functions of paramount importance. These functions govern the pivotal decision of whether a neuron should "fire" or remain dormant, an outcome predicated on the input it receives from the preceding layer (Kolbadinejad et al, 2022). This intricate interplay between layers, neurons, and activation functions forms the bedrock of artificial neural networks, enabling them to decipher complex data and extract meaningful insights.…”

Section: Proposed Methods and Datamentioning

confidence: 99%

Early Detection of Monkeypox Based on Visible Symptoms using Deep Learning

2023

Proceeding Book of 2nd International Conference on Contemporary Academic Research ICCAR 2023

View full text Add to dashboard Cite

Monkeypox is one of the zoonotic diseases that has been transmitted to humans from animals. Recently, it has been spreading widely among people. It is classified as an Orthopoxvirus with an animal source. In some cases, infection with this disease can lead to death. The clinical symptoms of this disease are similar to those of chickenpox. Rapid clinical identification and diagnosis of monkeypox can be challenging due to its similarity to measles and smallpox. This paper aims to identify monkeypox based on the symptoms that appear in patients during the infection period, infections, and fever on the human body, without the need to locate the site of infection on the skin. This is challenging due to the similarity of symptoms between different types of poxviruses. This paper summarizes the global spread of monkeypox, with the design of a deep learning model to predict the disease. The paper concludes by emphasizing the need for an automated system for prediction and diagnosis of monkeypox to make the environment safer for individuals.

show abstract

Deep learning analysis of Ar, Xe, Kr, and O2 adsorption on Activated Carbon and Zeolites using ANN approach

Cited by 25 publications

References 44 publications

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O₂/N₂/CO₂ on Functionalized Granular Activated Carbon

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O₂/N₂/CO₂ on Functionalized Granular Activated Carbon

Natural Products Derived Porous Carbons for CO₂ Capture

Early Detection of Monkeypox Based on Visible Symptoms using Deep Learning

Contact Info

Product

Resources

About

Deep learning analysis of Ar, Xe, Kr, and O2 adsorption on Activated Carbon and Zeolites using ANN approach

Cited by 25 publications

References 44 publications

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O2/N2/CO2 on Functionalized Granular Activated Carbon

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O2/N2/CO2 on Functionalized Granular Activated Carbon

Natural Products Derived Porous Carbons for CO2 Capture

Early Detection of Monkeypox Based on Visible Symptoms using Deep Learning

Contact Info

Product

Resources

About

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O₂/N₂/CO₂ on Functionalized Granular Activated Carbon

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O₂/N₂/CO₂ on Functionalized Granular Activated Carbon

Natural Products Derived Porous Carbons for CO₂ Capture