Effect of metal loading and Ce addition on biochar-supported Co catalysts for CO₂ methanation by Ahmed Gamal (14112864)

CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study by Ehab, Salih

“…In this study, density functional theory (DFT) has been used to build armchair graphene nanoribbon (AGNR) gas sensor and study its capacity to detect carbon monoxide (CO), carbon dioxide (CO2), and sulfur dioxide (SO2) gases. …”
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CO, CO₂, and SO₂ detection based on functionalized graphene nanoribbons: First principles study by Ehab Salih (17075206)

“…<p dir="ltr">In this study, density functional theory (DFT) has been used to build armchair graphene nanoribbon (AGNR) gas sensor and study its capacity to detect carbon monoxide (CO), carbon dioxide (CO₂), and sulfur dioxide (SO₂) gases. …”

Triboelectric multilayered electrospun co-polyamide-based wound dressings with inherent antibacterial properties by Sneha Bhagyaraj (14151756)

Harnessing microalgae for a synergistic approach to CO₂ capture, wastewater treatment, and biodiesel production: A review by Abdullah M. AlSalal (23770842)

“…Innovative cultivation strategies including high-rate algal ponds, membrane <u>bioreactors</u>, and CO₂-enriched <u>flue gas</u> significantly enhance productivity and resource efficiency. …”

COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar by Jayaprakash Saththasivam (14151669)

“…The trend in Ct values in the wastewater samples mirrored the number of new daily positive cases officially reported for the country, confirmed by RT-qPCR testing of naso-pharyngeal swabs. SARS-CoV-2 RNA was detected in 100% of the influent wastewater samples (7889 ± 1421 copy/L – 542,056 ± 25,775 copy/L, based on the N1 assay). …”

A promising CO₂ methanation catalyst system based on modified halloysites as supports by Ahmed Gamal (14112864)

“…Halloysite nanotubes (HNTs)-based catalysts have attracted significant attention in various catalytic applications. …”

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”

Preparation of Mesoporous/Microporous MnCo₂O₄ and Nanocubic MnCr₂O₄ Using a Single Step Solution Combustion Synthesis for Bifunction Oxy... by Anchu Ashok (14152020)

“…On basis of the activity and stability performance, MnCo₂O₄ shows to be a promising bifunctional electrocatalyst, with significantly improved performance than previously reported Mn and Co mixed oxides, and comparable to Pt and Ru based catalysts in terms of durability, onset potential and Tafel slope.…”

Co-doped zigzag graphene nanoribbon based gas sensor for sensitive detection of H₂S: DFT study by Ehab Salih (17075206)

“…Particularly, the response of H₂S to Cu/Zn-ZGNR system demonstrated a significant high value of 48.92%. Therefore, the newly developed co-doped Cu/Zn-ZGNR based gas sensor can be recommended as a highly sensitive H₂S</p><h2>Other Information</h2><p dir="ltr">Published in: Superlattices and Microstructures<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.spmi.2021.106900" target="_blank">https://dx.doi.org/10.1016/j.spmi.2021.106900</a></p>…”

The role of institutional quality in reducing environmental degradation in Canada by Shahriyar Mukhtarov (19325662)

“…Moreover, our findings indicated that there is a statistically significant and positive impact of income on CO₂ emissions, while trade openness exhibits an insignificant impact on CO2 emissions. …”

Prediction of CO₂ uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence by Mohd Azfar Shaida (19756971)

Synthesis and evaluation of novel Cu-based adsorbent-containing catalysts for CO₂ hydrogenation to methanol and value-added products by Rim Ismail (18192922)

Pt-doped armchair graphene nanoribbon as a promising gas sensor for CO and CO2: DFT study by Ehab, Salih

“…In this work, four armchair graphene nanoribbon (AGNR) based sensor materials were built using Atomistic ToolKit Virtual NanoLab (ATK-VNL) and utilized to detect carbon monoxide (CO) and carbon dioxide (CO2) gases. …”
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Efficient electrochemical conversion of CO2 into formic acid using colloidal NiCo@rGO catalyst by Muhammad, Arsalan

“…A simple approach was used to synthesize a catalyst based on colloidal NiCo with rGO support. The catalyst was uniformly deposited on acid-treated Sn foil using drop-casting method. …”
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Effects of support on Ni-based catalysts for dry reforming of methane by Sardar Ali (20837642)

“…<p dir="ltr">We report the development and evaluation of Ni-based catalysts supported on La₂O₃, ZrO₂, and Al₂O₃ for dry methane reformation. …”

Development of highly active Cu-based CO₂ hydrogenation catalysts by solution combustion synthesis (SCS): Effects of synthesis variables by Sardar Ali (9503753)

“…<p dir="ltr">This work investigates the effects of solution combustion synthesis (SCS) variables on the performance of copper-based catalysts for CO₂ hydrogenation to methanol. …”

Application of bipolar membrane (BPM)-based technology to green energy and environmental sustainability by Sajna M.S. (22302991)

“…We examine the operational mechanisms of BPMs under forward and reverse bias, focusing on their integration into applications such as <u>water electrolysis </u>for<u> hydrogen generation</u>, fuel cells, <u>redox flow batteries</u>, and CO₂ electrolysis. Our findings demonstrate that BPM-integrated systems significantly enhance sustainability, particularly in <u>wastewater treatment</u>, ammonia nitrogen recovery, and nutrient recovery. …”

Pt-doped armchair graphene nanoribbon as a promising gas sensor for CO and CO₂: DFT study by Ehab Salih (17075206)

“…<p dir="ltr">In this work, four armchair graphene nanoribbon (AGNR) based sensor materials were built using Atomistic ToolKit Virtual NanoLab (ATK-VNL) and utilized to detect carbon monoxide (CO) and carbon dioxide (CO₂) gases. …”

An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal (4906894)

“…At first, the MR images were normalized using the Wiener filtering method, and the Gray level co-occurrences matrix (GLCM) was used to extract the relevant feature attributes. …”