Digital Commons Network^™

Tomo-Piv Study Of A Parallel Two-Dimensional Jet In Supersonic Flow, Josiah Mcdermott, Connor Bell, Davide Vigano

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Stabilizing combustion in supersonic flows is a formidable challenge due to the small time scales afforded for air-fuel mixing. Numerous studies in this area have demonstrated the potential of strut-style platforms for fuel injection and mixing enhancement, which remains an active area of research. In the Aerodynamics Research Laboratory at Missouri S&T, a strut-style injector system has recently been installed. In this study, we characterize the flow structures behind this platform in a range of injection pressures and corresponding mass flux ratios. The wake generated by a strut and injection plume, even absent combustion or mixing enhancement geometry, has an …

Corrigendum To “3d Semi-Analytical Thermo-Elasto-Plastic Model For Additive Manufacturing”(Additive Manufacturing, (2026), 127, C, (105308), (S2214860426002344), 10.1016/J.Addma.2026.105308), Tao Liu, Ming C. Leu, Edward C. Kinzel, Chinedum Okwudire

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The author regret about the correction in the Equation B(1) in original article. The corrected version of the Equation B(1) is given below,(1.1)∂uxxx,ξ∂x=116πμ1−ν4ν−1x−ξxR3−3x−ξx3R5−8ν−5x−ξxR13+34ν−3x−ξx3R15−18x−ξxzξzR15+30x−ξx3zξzR17−12ν−12ν−1x−ξxR1R1+z+ξz2+4ν−12ν−1x−ξx3R13R1+z+ξz2+8ν−12ν−1x−ξx3R12R1+z+ξz3 The authors would like to apologise for any inconvenience caused. DOI of original article: < 10.1016/j.addma.2026.105308>

Proactive Safety Reasoning In Human-Robot Collaboration In Disassembly Through Llm-Augmented Stpa And Fmea, Morteza Jalali Alenjareghi, Fardin Ghorbani, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Études primaires

Disassembly tasks in human–robot collaboration (HRC) environments present safety challenges due to hazardous materials, control system variability, and physically demanding operator tasks. To address these challenges, we propose an AI-augmented risk assessment framework integrating System-Theoretic Process Analysis (STPA) and Failure Mode and Effects Analysis (FMEA). This framework is implemented in four configurations: Term Frequency– Inverse Document Frequency (TF-IDF), Fine-tuned Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and RAG with a structured Knowledge Graph (KG) built from safety standards. The system supports real-time, standards-compliant safety reasoning by generating interpretable, context-specific recommendations. We evaluate these configurations across GPT-3.5 TURBO, GPT-4o, GPT-4.1, and …

Advancing Greenhouse Air Filtration: Biodegradable Nanofiber Filters With Sustained Antimicrobial Performance, Amirali Bajgholi, Reza Jafari, Alireza Saidi

Études primaires

Air quality management in greenhouses is critical to safeguarding plant health and occupational safety, yet conventional filtration methods often fall short in performance and sustainability. These enclosed environments are prone to the accumulation of bioaerosols, including fungi, bacteria, pollen, and dust particles, which can compromise crop productivity and pose health risks to workers. This review explores recent advancements in air filtration technologies for controlled environments such as greenhouses, where airborne particulate matter, bioaerosols, and volatile organic compounds (VOCs) present ongoing challenges. Special focus is given to the development of filtration media based on electrospun nanofibers, which offer high surface area, …

Understanding Real Work Situations To Determine Sprayer Design Occupational And Environmental Health Criteria: A Mixed Methods Study Protocol, Caroline Jolly, Anouk Aubert-Simard, Damien Burlet-Vienney, Nancy Beauregard, Isabelle Feillou, Stéphane Godbout, Marion Albert

Études primaires

Background

Canada’s agricultural sector included 189,874 farms in 2021, 15% of which were located in the province of Quebec. Farmers are exposed to a variety of hazards that can lead to acute or chronic health effects, particularly when it comes to pesticide use. Machinery is often implicated in occupational injury statistics. Studies point to shortcomings in the design of crop protection sprayers, impacting not only the health and safety of workers, but also the environment. Tree sprays are currently designed and manufactured outside Quebec in accordance with regulatory requirements developed in a context where occupational health and safety (OHS) criteria …

Analysis Of The Functional And Acoustical Comfort Of Earplugs Experienced By A Group Of Workers In Canadian Companies And Identification Of The Influencing Variables, Bastien Poissenot-Arrigoni, Olivier Doutres, Alessia Negrini, Djamal Berbiche, Franck Sgard

Études primaires

Earplugs are essential for hearing protection in noisy workplaces, but their effectiveness depends heavily on user comfort, which influences proper and consistent use. This study explores functional and acoustical comfort experienced by 173 workers across Canadian companies, each testing different ’disposable or reusable’ earplug models over seven weeks. Comfort is assessed using detailed questionnaires covering six subdimensions: ease of insertion and removal, noise protection, impact on work, and discomfort related to internal and external noise perception. Linear mixed-effects models are applied within a triad framework encompassing person-, earplug-, and environment-related characteristics in order to identify those with a significant influence …

Early Drowsiness Detection Via Second-Order Derivative Analysis Of Heart Rate Variability: A Non-Contact Ecg Approach With Machine Learning, Fabrice Vaussenat, Abhiroop Bhattacharya, Julie Payette, Alireza Saidi, Victor Bellemin, Geordi-Gabriel Renaud-Dumoulin, Sylvain G. Cloutier, Ghislain Gagnon

Études primaires

Drowsy driving contributes to roughly 20% of traffic fatalities, yet most detection systems rely on behavioral cues that appear only after impairment has set in. Here we ask whether first and second derivatives of heart rate variability (HRV) can detect pre-crash states earlier than conventional approaches. Twenty-five participants completed 49 driving simulator sessions while we recorded cardiac activity through capacitive ECG electrodes embedded in the seat backrest—a non-contact method that avoids the privacy concerns of camera-based monitoring. To prevent circular evaluation, ground truth labels were based solely on crash proximity rather than HRV-derived scores. The combined HRV feature set (conventional …

If Only Pickups And Vans Could Fly: Vehicle Maintenance And The Challenge Of Safely Lifting Large Vehicles On A Two-Post Lift, Damien Burlet-Vienney, Sylvie Beaugrand, Maud Gonella, Bertrand Galy, Élise Ledoux

Études primaires

The use of automotive lifts requires mechanics to work under or near a multi-ton load. Based on consultation with stakeholders, pickups and vans appear to pose problems when raised using two-post above-ground lifts (2PAG lifts), the most common type of automotive lift in garages. The aim of this study is therefore to highlight the work activity performed by mechanics when raising pickups and vans on 2PAG lifts and to describe the factors they take into account to ensure vehicle stability. Data collection took place under actual conditions in five garages. A total of 108 lifting situations were filmed and analyzed, …

Computer Vision-Based Collision Prevention In Construction: Bridging Academic Advances And Industrial Requirements, Marwa Ziadia, François Gauthier, Damien Burlet-Vienney

Études primaires

Computer vision (CV) technologies have emerged as promising tools for real-time collision risk management. This paper examines CV-based collision-prevention systems from academic and industrial perspectives with a focus on identifying technical and implementation challenges affecting their deployment on construction sites. A scoping review of 158 publications was conducted, alongside an assessment of commercial CV-based collision-prevention systems currently used in construction. The analysis focused on five key functions: object detection, distance measurement and proximity estimation, tracking, worker re-identification (ReID), and deployment robustness. Academic studies demonstrate substantial progress in detection accuracy, real-time processing, trajectory tracking, and predictive risk assessment through deep learning …

Looking Forward, Reflecting Back: The Promise Of Dispute Resolution To Reform The Criminal Legal System, Cynthia Alkon

Faculty Scholarship

The criminal legal system in the United States is plagued by serious and systemic problems. There have been countless efforts at reform over the last many decades that have included changes in what is a crime, how crimes are punished, how prosecutors do their job, and changes in policing. Yet, despite these efforts, problems such as mass incarceration remain deeply embedded. It is easy to be swept up in pessimism when discussing the criminal legal system. Change is hard, at best incremental, and we seem to be in the beginning of an era of backlash against recent reforms. This is …

Equal Justice & Generative Ai, Milan R. Markovic

Faculty Scholarship

The United States has long suffered from unequal access to justice, with countless low-and middle-income Americans forced to navigate the legal system alone. Recently, prominent judges, lawyers, and scholars have seized on generative AI as a potential corrective. These techno-optimists maintain that ChatGPT and other large language models can demystify the law and address unmet legal needs. Chief Justice John Roberts has proclaimed that AI-based tools "have the welcome potential to smooth out any mismatch between available resources and urgent needs in our court system."

Although AI will be an increasingly important source of legal assistance for underserved populations, the …

Digital Assets And The Property Question, Andrea Tosato, Christopher K. Odinet

Faculty Scholarship

Is crypto property? The proliferation of digital assets such as cryptocurrencies, stablecoins, memecoins, and NFTs has confronted legal systems worldwide with three interdependent challenges: determining whether they are property, identifying their appropriate classification within property taxonomies, and establishing rules for their circulation in commerce. Our Article addresses this tripartite question—the Property Question—within American law.

The stakes here are significant. Billions of dollars in digital assets are traded daily, used as collateral, and held by custodial platforms. Yet all these transactions rest on an unresolved premise: that digital assets can be owned and are governed by established property rules. This fundamental …

Performance And Improvement Strategies For Adapting Generative Large Language Models For Electronic Health Record Applications: A Systematic Review, Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W Bates, Li Zhou

Faculty, Staff and Students Publications

Purpose: To synthesize performance and improvement strategies for adapting generative LLMs in EHR analyses and applications.

Methods: We followed the PRISMA guidelines to conduct a systematic review of articles from PubMed and Web of Science published between January 1, 2023 and November 9, 2024. Multiple reviewers including biomedical informaticians and a clinician involved in the article reviewing process. Studies were included if they used generative LLMs to analyze real-world EHR data and reported quantitative performance evaluations for an improvement technique. The review identified key clinical applications, summarized performance and the improvement strategies.

Results: Of the 18,735 articles retrieved, 196 met …

Lysine Demethylase 4a Is A Centrosome-Associated Protein Required For Centrosome Integrity And Genomic Stability, Pratim Chowdhury, Xiaoli Wang, Richard I Han, Manga Motrapu, Ashley G Boice, Yuya Nakatani, Sofia Vargas-Hernandez, Julia F Love, Claude Chew, Sandra L Grimm, Dereck Mezquita, Frank M Mason, Elisabeth D Martinez, Cristian Coarfa, Cheryl L Walker, Anna-Karin Gustavsson, Ruhee Dere

Faculty, Staff and Students Publications

Centrosomes play a fundamental role in nucleating and organizing microtubules in the cell and are vital for faithful chromosome segregation and maintenance of genomic stability. Loss of structural or functional integrity of centrosomes causes genomic instability and is a driver of oncogenesis. Here we identify lysine demethylase 4A (KDM4A), an epigenetic 'eraser' of chromatin methyl marks, as a centrosome-localized protein, visualized at the nanometer-scale resolution. We additionally uncovered that KDM4A demethylase enzymatic activity is required to maintain centrosome homeostasis and integrity; a previously unknown functionality unlinked to altered expression of genes regulating centrosome number. We find that KDM4A interacts with …

A Conceptual Framework For Cognitive Engagement And Human Agency In Ai-Mediated Learning, Sam Rhodes, Zuhal Yilmaz, Terrie Galanti, Younggon Bae, Victoria Delaney, Zareen Gul Aga, Stephen Hutt

School of Mathematical & Statistical Sciences Faculty Publications

The purpose of this chapter is to propose a conceptual framework that unpacks AI use in instructional practice across three interrelated dimensions: human agency, cognitive demand, and AI orchestration. We ground this work in historical perspectives on technology's mediating role in education. We then propose the conceptual framework and three characterizations of the use of AI in school instruction: cognitive load reducer, cognitive capacity builder, and cognitive companion. We then illustrate a worked example of each, including a curricular example and sample student prompts, and conclude with questions that educators might ask themselves as they consider if and how to …

Reclaiming Sophia In The Age Of Ai: Theological And Ethical Reflections On Consecrated Technology And Human Dignity, Matthew H. Sauber

Faculty Scholarship 2026

The cultural emergence of artificial intelligence systems named after figures of divine wisdom—most notably the Hanson Robotics humanoid Sophia, granted Saudi citizenship in 2017—reveals a gap between the language of the wisdom traditions and that of contemporary technology. This paper treats that gap as the occasion for theological and ethical reflection on AI. Drawing on the Sophia tradition across its Hebrew, Hellenistic-Patristic, Gnostic, Russian Sophiological, perennialist, and Sufi articulations—especially Sergei Bulgakov’s account of Sophia as mediation between divine wisdom and created order—it develops a framework termed Consecrated Technology. The argument unfolds in three moves: (1) a structural critique showing how …

From Disconnection To Well-Being: A Longitudinal Study On Digital Access As A Social Determinant Of Health For Older Adults In China, Minzhi Ye, Jierong Hu

School of Social Work Faculty Publications

Objectives: This study innovatively includes digital access as a social determinant of health (SDoH) to examine the longitudinal relationship between digital inclusion and subjective well-being among older adults in China, one of the largest aging populations worldwide.

Methods: We used data from the Chinese Longitudinal Aging Social Survey (CLASS, 2016 and 2020 waves). We applied the SDoH framework to analyze the interaction between digital inclusion and social structures at the micro, meso, and macro levels. Digital accessibility was captured in waves in 2016 and 2020. Four digital accessibility trajectories were identified: continuous access, gained access, lost access, and never accessed. …

Convergence Of Social Justice, Human Rights, And Artificial Intelligence (Ai), Sudershan Pasupuleti, Urmila Yadav, Susheelabai R. Srinivasa

School of Social Work Faculty Publications

Artificial Intelligence and large data machine learning are transforming many areas, including healthcare, economic, political, and educational social institutions, at their best. Artificial intelligence can also be offered the moral and legal potential to safeguard human rights and social justice in society. For instance, human rights organizations scan public domain images for evidence of abuse, or software uses adversarial techniques to reduce bias in training data. At best, some organizations and businesses are tackling these challenges in a proactive manner, looking for methods to make sure they avoid or identify concerns before they arise; for others, this may be a …

Proceedings Of The 13th Annual Deep Brain Stimulation Think Tank: The Evolving Landscape, Chance R Fleeting, Eduardo M Moraud, Kamil Uğurbil, Doris D Wang, Wolf-Julian Neumann, Andrea A Kühn, Valerie Voon, Victor Pikov, Marie-Laure Welter, Michael D Fox, John D Rolston, Mahsa Malekmohammadi, Yagna J Pathak, Lyndahl M Himes, David Greene, Abbey S Holt-Becker, Gabriel Lázaro-Muñoz, Alexander W Charney, Amanda R Merner, Martijn Figee, Katherine W Scangos, Timothy Denison, Kent Leyde, Aysegul Gunduz, Helen M Bronte-Stewart, James C Beck, Nora Vanegas-Arroyave, Marta San Luciano, Norbert Brüggemann, Kelly D Foote, Michael S Okun, Joshua K Wong

Faculty, Staff and Students Publications

The Deep Brain Stimulation (DBS) Think Tank XIII was held September 2-4th, 2025, in Gainesville, Florida, at the Norman Fixel Institute for Neurological Diseases at the University of Florida. The theme was "The Evolving Landscape of DBS: New Indications, New Goals." This theme was a continuation of the DBS Think Tank XI and XII, which were focused on emerging technology and pushing the horizon of indications. Since its founding in 2012, the DBS Think Tank has provided a global forum for leading clinicians, engineers, and researchers in both in industry and academia to present, discuss, and debate the current state …

Age-Related Variations Of The Hemodynamic Response Function Spatially Resolved Across Human Cerebral Cortex, Nooshin J Fesharaki, Amanda Taylor, David Ress

Faculty, Staff and Students Publications

Normal aging leads to regional vascular and neural alterations. Age-related impairments in neurovascular coupling (NVC) affect the blood-oxygen-level-dependent (BOLD) hemodynamic response function (HRF) measured with functional magnetic resonance imaging, causing changes in both amplitude and temporal dynamics. Previously, global, systematic age-related changes in HRF characteristics were demonstrated, consistent with known microvascular aging effects. In this follow-up study, a standard space was used to compare spatially resolved cortical HRF dynamics between sex-balanced groups of young and older adults. The results showed substantial age-related differences in both HRF amplitude and timing across distinct cortical regions. Nearly twice as much cortical area exhibited …

Findings And Recommendations From The State Of The Art (Sota) Conference On Nursing Research To Improve Veteran Outcomes, Amelia E Schlak, Sarah Krein, Laura A Petersen, David Atkins, Catherine Battaglia, Elizabeth Burkhart, Renee Colsch, Marguerite Daus, Heather Gilmartin, Nipa Kamdar, Melissa Knox, Ann Kutney-Lee, Christine M Olney, Kathryn Rugen, Tracy Weistreich, Sheila Cox Sullivan, On Behalf The Nursing Sota Planning Committee

Faculty, Staff and Students Publications

The Veterans Health Administration (VHA), the largest employer of nurses in the United States, has more than 120,000 nursing personnel providing care to over 9 million Veterans across diverse settings. Despite nursing's central role in delivering and sustaining care, research on strengthening the nursing workforce and optimizing nursing practice has remained underdeveloped in VHA. To address this gap, VHA's Office of Research and Development, in partnership with the Office of Nursing Services, convened a State of the Art (SOTA) conference in November 2023 focused on nursing. The Nursing SOTA brought together nurses, researchers, operational leaders, and other stakeholders to review …

Molecular Heterogeneity Of Hpv-Associated Cancers And Strategies To Overcome Treatment Resistance, Sara Rasouli, Weiyi Gong, Raegan Wood, Danyal Daneshdoust, Anam Khan, Rani Mahyoob, Chongwen Cao, Zihao Yu, Nagireddy Putluri, Gennady Shvets, Haichang Li, Bo Zhao, Xuefeng Liu, Jenny Li

Faculty, Staff and Students Publications

Human papillomavirus (HPV) is a major driver of global cancer incidence, responsible for nearly all cervical cancers and a significant proportion of oropharyngeal, anal, and other anogenital cancers. Despite the availability of effective vaccines, HPV-associated cancers persist due to persistent infection, immune evasion, and the virus's ability to integrate into the host genome, contributing to molecular heterogeneity and therapeutic resistance. Here, we summarize molecular heterogeneity and the emerging combined therapeutic strategies. High-risk HPV types, notably HPV16 and HPV18, initiate carcinogenesis through persistent infection of epithelial basal cells and through the actions of the E6 and E7 oncoproteins, which disrupt the …

Workshop Outcomes Report: 2nd International Workshop On Seismic Resilience Of Arctic Infrastructure And Social Systems, Majid Ghayoomi, Daniela Morganti

Faculty Publications

The report provides an overview of the second international workshop on Seismic Resilience of Arctic Infrastructure and Social Systems. The report discusses agenda, workshop activities, interdisciplinary working groups, and results. It ends with several strategic questions and investigation plans that were developed as part of the workshop activities.

Development And Validation Of A Multi-Output Neural Network-Based Virtual Temperature Sensor For Electric Vehicle Thermal Management, Dalton Michael Wiggins

Graduate Theses, Dissertations, and Problem Reports (ETD)

Battery electric vehicles (BEVs) rely on accurate thermal management to ensure component performance, efficiency, safety, and long-term durability. Critical propulsion system components, including electric motors and high-voltage battery packs, are commonly monitored using physical temperature sensors. However, these sensors increase system cost, introduce additional hardware complexity, and may be impractical for directly measuring temperatures at critical internal locations. Virtual temperature sensors (VTSs) provide a software-based alternative by estimating component temperatures using readily available vehicle operating data.

This research presents the development and validation of a long short-term memory (LSTM) neural network-based virtual temperature sensor capable of simultaneously estimating the motor …

Assessment Of Emissions Factors For Produced Water And Other Atmospheric Liquid Storage Tanks On Natural Gas Sites, David Glenn Childs

Graduate Theses, Dissertations, and Problem Reports (ETD)

As the US natural gas (NG) sector continues to grow, concerns have increased regarding the effects and increasing volume of greenhouse gases emitted into the atmosphere. While NG is a cleaner burning fuel than diesel and gasoline, unburned methane (CH₄) has a global warming potential (GWP) 27-30 times that of carbon dioxide (CO₂). To better quantify CH₄ emissions on NG sites, the US Department of Energy (DOE) granted West Virginia University (WVU) funding to collect direct measurements at well sites and compressor stations.

In this work, a total of 18 sites, including controlled and uncontrolled …

Revival Through Resilience In The Post-Mined Landscape: Demonstrating The Socio-Economic Context Of Appalachia And Exploring How Community Infrastructure And Cultural Tourism Can Be Catalysts For Economic Regeneration In Appalachian Communities, Azita Tasnim Ritu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Post-industrial communities across Appalachia continue to experience economic and environmental challenges following the decline of coal mining and related industries. Towns such as Smithers and Montgomery, West Virginia, reflect these conditions through economic stagnation, population loss, aging infrastructure, and degraded landscapes, creating an urgent need for sustainable redevelopment strategies.

The Appalachian Regional Commission emphasizes economic diversification, infrastructure investment, and community revitalization as critical components for improving regional quality of life. However, many former mining communities continue to struggle with underutilized heritage assets, degraded landscapes, and limited economic alternatives. Cultural landscapes and local identity remain significant but often overlooked resources that …

Architecture And Mechanistic Engineering Of Nanocomposite Steam Electrodes For High-Performance Metal-Supported Protonic Ceramic Cells, Xuemei Li

Graduate Theses, Dissertations, and Problem Reports (ETD)

The advancement of proton-conducting ceramic cells (PCCs) is crucial for efficient energy conversion in hydrogen- and/or ammonia-based energy carrier systems. However, a bigger success requires significant progress in cell fabrication, interfacial stability, fast electrode kinetics, and high Faradaic efficiency. This study investigates the rational design, fabrication, and performance breakthroughs of PCCs, with a focus on electrode architecture engineering, material interfacial coupling, and mechanistic understanding of electrochemical processes.

The metal-supported fuel electrode structure of PCFCs was systematically optimized, revealing the significant influence of Ni diffusion on cell performance and durability. High power density and stable ammonia-fueled operation were achieved. A heterointerface-rich …

Innovative Strategies For Stabilizing Zinc Anodes: From Molecular Design To Practical Zinc-Ion Batteries, Nhat Anh Thi Thieu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Aqueous zinc-ion batteries (AZIBs) have become increasingly attractive as grid-scale energy storage solutions due to their safety, low cost, and environmental friendliness. However, the anode-electrolyte interface in AZIBs is prone to instability due to severe dendrite growth, self-corrosion, parasitic water-induced side reactions, and hydrogen evolution reactions (HER), which collectively lead to poor cyclability. To date, various interfacial engineering strategies have been investigated to address these challenges and improve the stability of Zn metal anodes. This dissertation presents a unified strategy for regulating Zn deposition through synergistic electrode and electrolyte design in laboratory-scale coin cells and then applies these concepts to …

Computer Vision Methods For Rfi Segmentation In Radio Astronomy, Yechan Kweon

Graduate Theses, Dissertations, and Problem Reports (ETD)

Radio Frequency Interference (RFI) increasingly contaminates the radio astronomy spectrum, often exceeding astronomical signal amplitudes by 50–70 dB. Reliable detection and mitigation are therefore essential for studies of faint transient phenomena such as pulsars and fast radio bursts (FRBs). Existing practical methods including Spectral Kurtosis (SK), Median Absolute Deviation (MAD), and SumThreshold perform well in many settings but depend on assumptions about the RFI environment and data statistics, limiting their effectiveness for weak, broadband, or nonstationary interference.

We develop a transform based RFI detection method that requires no prior knowledge of the RFI origin or type. The method operates on …

Multiphysics Modeling Of Microwave-Assisted Calcination Of Soec Perovskite Precursors, Hongwei Liu

Graduate Theses, Dissertations, and Problem Reports (ETD)

The calcination of precursor powders is a critical step in the synthesis of solid oxide electrolysis cells (SOECs), where phase purity and microstructural control directly influence electrochemical performance. Conventional calcination methods are energy-intensive and time-consuming, often requiring prolonged high-temperature processing. In this thesis, microwave-assisted calcination is investigated as an alternative approach to enable rapid, energy-efficient processing of SOEC per- ovskite precursor powders. Microwave heating offers distinct advantages, including volumetric and selective heating, reduced processing times, and improved energy utilization compared to con- ventional thermal methods. A multiphysics modeling framework is developed, which integrates electromagnetic wave propagation, governed by Maxwell’s equations, …