{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T06:40:40Z","timestamp":1776235240905,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3681374","type":"journal-article","created":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T19:57:43Z","timestamp":1775505463000},"page":"1-1","source":"Crossref","is-referenced-by-count":0,"title":["PDP-PINN: A Fourier-Augmented Physics-Informed Neural Network for Pressure Drop Prediction in CO\n                    <sub>2<\/sub>\n                    -Injected Porous Media"],"prefix":"10.1109","author":[{"given":"Nafisa Binte Ghulam","family":"Kibria","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7068-9112","authenticated-orcid":false,"given":"Amith","family":"Khandakar","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7014-3205","authenticated-orcid":false,"given":"Md.","family":"Faysal Ahamed","sequence":"additional","affiliation":[{"name":"Department of Electrical &#x0026; Computer Engineering, Rajshahi University of Engineering &#x0026; Technology, Rajshahi, Bangladesh"}]},{"given":"Hafsa Binte","family":"Kibria","sequence":"additional","affiliation":[{"name":"Department of Electrical &#x0026; Computer Engineering, Rajshahi University of Engineering &#x0026; Technology, Rajshahi, Bangladesh"}]},{"given":"Mohammad Azizur","family":"Rahman","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, Hamad Bin Khalifa University, Education City, Doha, Qatar"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8663-886X","authenticated-orcid":false,"given":"Mohamed Arselene","family":"Ayari","sequence":"additional","affiliation":[{"name":"Department of Civil and Architectural Engineering, Qatar University, Doha, Qatar"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","doi-asserted-by":"crossref","first-page":"211","DOI":"10.3390\/en17010211","article-title":"Storage sites for carbon dioxide in the North Sea and their particular characteristics","volume":"17","author":"Rigby","year":"2023","journal-title":"Energies"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijggc.2019.03.012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.131443"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1029\/2011GL048487"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijggc.2017.05.015"},{"key":"ref6","volume-title":"Phmsa Announces New Safety Measures to Protect Americans From Carbon Dioxide Pipeline Failures After Satartia, Ms Leak"},{"key":"ref7","volume-title":"Adm Carbon Sequestration Project Violated Safe Drinking Water Act, Per Epa","author":"Pantazi","year":"2024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2018.10.045"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.136862","article-title":"Hybrid-PINNs approach for predicting high-fidelity flow and heat transfer in printed circuit heat exchangers of sodium-cooled fast reactors","volume":"330","author":"Li","year":"2025","journal-title":"Energy"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.135392","article-title":"Biomass gasification modeling based on physics-informed neural network with constrained particle swarm optimization","volume":"320","author":"Weng","year":"2025","journal-title":"Energy"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.137268","article-title":"Physics-informed neural network for rapid prediction of the temperature fields in fuel-heat pipe assemblies","volume":"332","author":"Jiang","year":"2025","journal-title":"Energy"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.135451"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.130401"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.136859"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.136751"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.137279"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.131676"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1039\/D2DT02897B"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2025.126136"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3432394"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2025.137515"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106742","article-title":"Physical-informed deep learning framework for CO2-injected EOR compositional simulation","volume":"126","author":"Sun","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.111098","article-title":"Physics-informed neural networks in heat transfer-dominated multiphysics systems: A comprehensive review","volume":"157","author":"Zhao","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2022.06.123"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2025.110115"},{"key":"ref26","article-title":"Novel framework for real time indoor air quality monitoring using IoT and mobile robotics","author":"Al-Salahi","year":"2025"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.135065","article-title":"Feasibility of CO2-water alternate flooding and CO2 storage in tight oil reservoirs with complex fracture networks based on embedded discrete fracture model","volume":"319","author":"He","year":"2025","journal-title":"Energy"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.136468","article-title":"Gate-to-gate life-cycle assessment of immiscible CO2-EOR operation in heavy oil using real operation data","volume":"329","author":"Jabbar","year":"2025","journal-title":"Energy"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.137552","article-title":"Intermittent CO2 injection for methane production and carbon sequestration in natural gas hydrate reservoirs","volume":"333","author":"Du","year":"2025","journal-title":"Energy"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.137734","article-title":"Uncertainty reduction of potential leakage from geologic CO2 storage reservoirs","volume":"334","author":"Xiao","year":"2025","journal-title":"Energy"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.136891","article-title":"Co-optimization of well schedule and conformance control parameters assisted with transformer-LSTM for CO2-EOR and storage in oil reservoirs","volume":"331","author":"Wu","year":"2025","journal-title":"Energy"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.130556"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.137350"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.137261"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.133160"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijggc.2024.104262"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.compgeo.2023.105433"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.137565"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.137229"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.jconhyd.2021.103835"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2021.104009"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1039\/D2EE04204E"},{"key":"ref43","article-title":"A benchmark dataset for machine learning surrogates of pore-scale CO2-water interaction","author":"Abdellatif","year":"2025","journal-title":"arXiv:2503.17592"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.133863"},{"key":"ref45","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","author":"Tancik","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703732"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.2307\/2279372"},{"key":"ref48","volume-title":"Practical Nonparametric Statistics","author":"Conover","year":"1999"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/6514899\/11475441.pdf?arnumber=11475441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T05:40:38Z","timestamp":1776231638000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11475441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3681374","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}