Georgia Institute Of Technology Research Articles

Precursory elements of safety culture: Exploratory analyses of engineering students’ safety attitudes

Introduction: Safety culture as a concept has been well-researched in the literature. There is less work, however, on how individuals entering the workforce acquire and partake in safety culture over time and how they might be primed to partake in the positive elements of safety culture. Method: We begin this exploration by surveying engineering students’ attitudes toward safety and experiences with safety education at the Georgia Institute of Technology (n = 316). Results: We find disparities among engineering disciplines, where some majors have more negative views toward safety than others. This may point to the need for more [effective] safety education to prevent negative attitudes toward safety in the workplace. In addition to describing trends among engineering students’ attitudes, this study also uses factor analysis to characterize the latent constructs of precursory safety culture: the safety-related attitudes that may direct how people engage with safety culture as early-career engineers. Practical Applications: The analysis provides a conceptual construction of precursor safety culture attitudes, which can serve as a guide to future measurement efforts.

Dóri Pap and Susan Davis - Ideas to Serve: the Evolution of Social Innovation Education at GeorgiaTech

This letter delves into the transformation of social innovation education at the Georgia Institute of Technology (Georgia Tech) by exploring the evolution of its Ideas to Serve competition. Against the backdrop of Georgia Tech's vision for the next decade as an inclusive innovation hub, this narrative captures a conversation between Dori Pap, Managing Director, and Susan Davis, Practitioner in Residence at the Institute for Leadership and Social Impact. They discuss how the competition has evolved from fostering "heropreneurs" to empowering students to critically engage with systemic social issues. They present a compelling recap of how Georgia Tech has reimagined social innovation education by elevating community-based organizations as co-educators, inspiring students to become effective and empathetic social entrepreneurs.

Semi-supervised, Neural Network based approaches to face mask and anomaly detection in surveillance networks

In the post-pandemic world, surveillance cameras play a key aspect when it comes to detecting various kinds of security risks. These can range from burglars entering a premises to an individual wearing or not wearing a mask where convention dictates one way versus the other. We are proposing a system that would allow the autonomous detection of these security risks with minimal human intervention. We propose using Multi-task Cascaded Convolutional Neural Networks as the face detector, followed by a Gabor image feature extractor, and the Kernel-based Online Anomaly Detection algorithm for detecting and identifying potential risks in real-time. We have tested our proposed framework on five different datasets comprising two datasets from public online repositories, one publicly available dataset from the Georgia Institute of Technology, and two from real-life settings. We compared our results to the Viola Jones legacy face detector, and with two other anomaly detection algorithms based on Principal Component Analysis (PCA) and the Autoencoder scheme. Our proposed framework has yielded high detection rates with low false alarm rates, in addition to being adaptive, portable, and requiring minimal infrastructure.

Mastering Our Own Magic in the Evolution Toward Precision Practice.

Edelle (Edee) Field-Fote, PT, PhD, FASIA, FAPTA, the 54th Mary McMillan lecturer, is director of the Shepherd Center Spinal Cord Injury Research Program & Hulse Laboratory; professor in the division of physical therapy at Emory University School of Medicine; and professor of the practice in the school of biological sciences at the Georgia Institute of Technology. In her role as the director of spinal cord injury (SCI) research at Shepherd Center, Field-Fote leads a team dedicated to improving motor function in people with SCI through the development of neuromodulation and neurorehabilitation approaches informed by the latest neuroscience research and guided by outcomes that have meaning for people with SCI. With a clinical background as a physical therapist, PhD training in a preclinical model of SCI, and postdoctoral training in motor control physiology, her 25-plus years of SCI research have spanned the breadth of basic and clinical/translational research related to SCI. Dr Field-Fote has conducted randomized clinical trials with funding from the National Institutes of Health since 1997; other clinical trials in her lab have been funded by the Department of Defense, the National Institute on Disability Independent Living and Rehabilitation Research, and numerous foundations. Field-Fote is the recipient of multiple honors from the American Physical Therapy Association (APTA) and its components. She is a Fellow of APTA and a Fellow of the American Spinal Injury Association. She has also served in numerous APTA and APTA component appointed or elected positions and as a member and president of the Foundation for Physical Therapy Research Board of Trustees.

ECR Spotlight – Kristen Jakubowski

ECR Spotlight is a series of interviews with early-career authors from a selection of papers published in Journal of Experimental Biology and aims to promote not only the diversity of early-career researchers (ECRs) working in experimental biology during our centenary year but also the huge variety of animals and physiological systems that are essential for the ‘comparative’ approach. Kristen Jakubowski is an author on ‘ Non-linear properties of the Achilles tendon determine ankle impedance over a broad range of activations in humans’, published in JEB. Kristen conducted the research described in this article while a PhD candidate in Eric J. Perreault and Sabrina S. M. Lee's lab at Northwestern University, USA. She is now a Postdoctoral Fellow in the lab of Lena H. Ting and Gregory S. Sawicki at Emory University and Georgia Institute of Technology, USA, investigating an individual's neuromuscular control and their interactions with robotic devices and evaluating how devices can be designed and controlled to restore and augment human mobility.

Registration open and poster abstracts invited for Herty Medalist Undergraduate Research Symposium

The American Chemical Society Georgia Section will hold the 18th Herty Medalist Undergraduate Research Symposium (HMURS) Friday, Sept. 22, from 1:30 to 5:00 p.m. (EDT) at Georgia Gwinnett College in Lawrenceville, Georgia. HMURS was established in 2006 to showcase undergraduate research in chemistry. The 2023 Charles H. Herty Medalist, C. David Sherrill from the Georgia Institute of Technology, will be talking at this year’s symposium alongside other eminent scientists. A poster session for undergraduate students will follow the presentations. Registration and poster abstract submission are free and can be completed at commons.ggc.edu/hmurs/registration. The deadline for submitting poster abstracts is Sept. 1. The two best poster presenters will receive a $600 travel award to attend an ACS spring or fall meeting and 1 year of ACS membership. If you have any questions, please contact Ajay Mallia at amallia@ggc.edu.

ACS Catalysis Science and Technology Division awards to Fabio Ribeiro and Andrew J. Medford

Two awards from the American Chemical Society Division of Catalysis Science and Technology are being announced. Fabio Ribeiro , the R. Norris and Eleanor Shreve Professor of Chemical Engineering at Purdue University, is the 2023 recipient of the Exceptional Achievements in Catalysis award, in recognition of his exceptionally meritorious, impactful, and enduring scientific and leadership contributions to the broad field of catalysis science. Andrew J. “AJ” Medford , an assistant professor of chemical and biomolecular engineering at the Georgia Institute of Technology, is the 2023 recipient of the Early Career in Catalysis award. This award recognizes independent contributions to the broad field of catalysis science that are of unusual merit and creativity in the early stages of a career.

Performance Comparison of Helium and sCO2 as Coolants for Modular Finger-Type Divertors

Several studies at the Georgia Institute of Technology have evaluated the thermal and fluids performance of the helium-cooled modular divertor with multiple jets (HEMJ) over the past decade. This finger-type divertor was studied both experimentally at nearly prototypical conditions and numerically at fully prototypical operating conditions using experimentally validated simulations. Recently, supercritical carbon dioxide (sCO2) has been studied as the primary coolant in power cycles and other applications in various systems, in part because CO2 achieves the high densities typical of supercritical fluids at relatively low temperatures and pressures, with a critical point of (7.38 MPa, 31°C). This density makes it possible to realize very compact and efficient sCO2 power cycles. The feasibility of sCO2 as a coolant for plasma-facing components, specifically the divertor, was therefore evaluated as part of the Fusion Energy System Studies design study activities. This work compares the thermal-fluid performance of helium and sCO2 in the HEMJ divertor geometry using numerical simulations at prototypical conditions: inlet temperatures Ti = 600°C to 700°C, pressures p ≈ 10 MPa, and steady-state incident heat fluxes on the tile q″ < 17 MW/m2. The performance is quantified here as the maximum heat flux that can be accommodated by the plasma-facing tile, the pumping power fraction, defined as the ratio of the coolant pumping power to the incident thermal power, and the operating stress limits based on ASME pressure vessel criteria. As expected, helium requires lower mass flow rates and pumping power fractions within imposed maximum temperature limits for the HEMJ pressure boundary. However, it also appears that neither helium nor sCO2 can remove 10 MW/m2 of incident heat flux while meeting ASME pressure vessel criteria. Finally, the numerical modeling reveals that sCO2 may remove slightly higher incident heat fluxes than helium due to the imposed stress limits due to the sCO2 coolant resulting in smaller local temperature gradients, albeit at a considerably higher pumping power fraction.

Electric-thermal energy storage using solid particles as storage media

Jeffrey Gifford is a PhD Candidate in the Advanced Energy Systems program sponsored by National Renewable Energy Laboratory (NREL) and the Colorado School of Mines. He previously earned his M. and BS in Mechanical Engineering from the University of Colorado – Boulder and Purdue University, respectively, and has worked at NREL as a graduate researcher. His research interests include energy storage systems for economy-wide decarbonization and long-duration, particle-based thermal energy storage systems using a multi-method approach, including computational fluid dynamics, dynamic integrated system modeling, and mixed-integer linear programming for design and dispatch optimization. Janna Martinek is a researcher in the Thermal Energy Systems group at the National Renewable Energy Laboratory (NREL). She received her PhD in Chemical Engineering from the University of Colorado – Boulder prior to joining NREL. Her work includes predictive performance modeling and analysis of concentrating solar power (CSP), solar thermochemical and thermal energy storage (TES) systems, computational fluid dynamics modeling, and analysis of dispatch optimization and grid integration of CSP and TES technologies. Xingchao Wang is a joint appointment researcher to the National Renewable Energy Laboratory (NREL). He is a research faculty of the Mechanical Engineering Department at Colorado School of Mines. Dr. Wang received his PhD in Mechanical Engineering from Lehigh University and BE in Thermal Engineering from Tsinghua University. His expertise lies in heat transfer, thermodynamics, and conventional and renewable energy systems designing and modeling. He is working on energy conversion, storage research, and technology development using renewable energy sources. Zhiwen Ma is a senior engineer in the Thermal Systems R&D Group at National Renewable Energy Laboratory (NREL). He received his PhD in Mechanical Engineering from the Georgia Institute of Technology. Zhiwen is leading the research projects on long-duration energy storage using particle-based thermal energy storage, thermal and electrochemical modeling for hydrogen production, and solar fuel processes. He has expertise in computational modeling and experimental testing, renewable solution and system development, component performance, and cost analysis. He has published over 70 peer-reviewed papers and was awarded 12 patents. Jeffrey Gifford is a PhD Candidate in the Advanced Energy Systems program sponsored by National Renewable Energy Laboratory (NREL) and the Colorado School of Mines. He previously earned his M. and BS in Mechanical Engineering from the University of Colorado – Boulder and Purdue University, respectively, and has worked at NREL as a graduate researcher. His research interests include energy storage systems for economy-wide decarbonization and long-duration, particle-based thermal energy storage systems using a multi-method approach, including computational fluid dynamics, dynamic integrated system modeling, and mixed-integer linear programming for design and dispatch optimization. Janna Martinek is a researcher in the Thermal Energy Systems group at the National Renewable Energy Laboratory (NREL). She received her PhD in Chemical Engineering from the University of Colorado – Boulder prior to joining NREL. Her work includes predictive performance modeling and analysis of concentrating solar power (CSP), solar thermochemical and thermal energy storage (TES) systems, computational fluid dynamics modeling, and analysis of dispatch optimization and grid integration of CSP and TES technologies. Xingchao Wang is a joint appointment researcher to the National Renewable Energy Laboratory (NREL). He is a research faculty of the Mechanical Engineering Department at Colorado School of Mines. Dr. Wang received his PhD in Mechanical Engineering from Lehigh University and BE in Thermal Engineering from Tsinghua University. His expertise lies in heat transfer, thermodynamics, and conventional and renewable energy systems designing and modeling. He is working on energy conversion, storage research, and technology development using renewable energy sources. Zhiwen Ma is a senior engineer in the Thermal Systems R&D Group at National Renewable Energy Laboratory (NREL). He received his PhD in Mechanical Engineering from the Georgia Institute of Technology. Zhiwen is leading the research projects on long-duration energy storage using particle-based thermal energy storage, thermal and electrochemical modeling for hydrogen production, and solar fuel processes. He has expertise in computational modeling and experimental testing, renewable solution and system development, component performance, and cost analysis. He has published over 70 peer-reviewed papers and was awarded 12 patents.

Herty Medal goes to David Sherrill

The 2023 Charles H. Herty Medal goes to C. David Sherrill , Regents’ Professor in the Schools of Chemistry and Biochemistry and Computational Science and Engineering at Georgia Institute of Technology. This medal is awarded annually by the American Chemical Society Georgia Section to recognize the work and service of an outstanding chemist from the southeastern region of the US. The focus of Sherrill’s research is the development and application of theoretical methods and algorithms in computational quantum chemistry. He is a fellow of ACS, the American Association for the Advancement of Science, and the American Physical Society. Sherrill is an associate editor of the Journal of Chemical Physics and was recently elected to the board of the World Association of Theoretical and Computational Chemists. He is very active in ACS both nationally and in the Georgia Section. The gold Herty Medal will be presented to Sherrill at the 89th

ECR Spotlight – Jennifer Leestma

ECR Spotlight is a series of interviews with early-career authors from a selection of papers published in Journal of Experimental Biology and aims to promote not only the diversity of early-career researchers (ECRs) working in experimental biology during our centenary year but also the huge variety of animals and physiological systems that are essential for the ‘comparative’ approach. Jennifer Leestma is an author on ‘ Linking whole-body angular momentum and step placement during perturbed walking’, published in JEB. Jennifer is a PhD candidate in the lab of Gregory Sawicki and Aaron Young at Georgia Institute of Technology, USA, investigating how humans navigate complex and dynamic environments and how wearable robots can augment locomotion in these contexts.

Autobiography of Paul L. Houston.

ADVERTISEMENT RETURN TO ISSUEPREVSpecial Issue Prefac...Special Issue PrefaceNEXTAutobiography of Paul L. HoustonPaul L. Houston*Paul L. HoustonDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14850, United StatesDepartment of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States*[email protected]More by Paul L. Houstonhttps://orcid.org/0000-0003-2566-9539Cite this: J. Phys. Chem. A 2023, 127, 9, 2065–2067Publication Date (Web):March 9, 2023Publication History Received26 January 2023Published online9 March 2023Published inissue 9 March 2023https://doi.org/10.1021/acs.jpca.3c00580Copyright © Published 2023 by American Chemical SocietyRIGHTS & PERMISSIONSArticle Views139Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (1 MB) Get e-AlertsSupporting Info (3)»Supporting Information Supporting Information SUBJECTS:Aldehydes,Imaging,Lasers,Photodissociation,Students Get e-Alerts

NIH/NIBIB Introduces New Center for Biomedical Engineering Technology Acceleration.

In Late January 2023, the National Institute of Biomedical Imaging and Bioengineering (NIBIB) launched a new center designed to accelerate biomedical discovery and therapeutics, in part by pulling together expert, multidisciplinary teams from throughout the National Institutes of Health (NIH) to quickly respond when national or global health crises strike. The inaugural director of this Center for BME Technology Acceleration, or BETA Center, is biomedical engineer Manu Platt, Ph.D., (Figure 1) who is also taking on the role of NIBIB associate director for scientific diversity, equity, and inclusion. Platt previously held appointments as professor, Wallace H. Coulter distinguished faculty fellow, and diversity director of the Center on Emergent Behaviors of Integrated Cellular Systems and Cellular Manufacturing and Technologies at the Georgia Institute of Technology and Emory University.

Evaluation and Validation of Microscale Atmospheric Modeling With Offline Weather Research and Forecasting Model to Parallelized Large-Eddy Simulation Model Forcing Conditions

Abstract As the rate of urbanization increases, local vegetation is being replaced with man-made materials, causing increasingly adverse impacts on the surface-atmosphere energy balance. These negative effects can be simulated by modeling the urban landscapes in question; however, the main challenges of modeling urban thermal environments are the scale and resolution at which to perform such tasks. Current modeling of urban thermal environments is typically limited to either mesoscale (1 –2000 km) or microscale (&amp;lt;1 km) phenomena. In the present work, an open-source framework for one-way upstream coupled multiscale urban thermal environment simulations is examined and validated. This coupled simulation can provide valuable insights into the flow behavior and energy transport between mesoscale and microscale interactions. The mesoscale to microscale boundary conditions are coupled together using simulated data from the advanced research weather research and forecasting model (WRF-ARW), a mesoscale numerical weather prediction software, and assimilating it into parallelized large-eddy simulation model (PALM), a computational fluid dynamics style (CFD-style) software designed for microscale atmospheric and oceanic flows. The multiscale urban thermal environment simulations are tested for grid sensitivity to variations in model input and control parameters, and then experimentally validated against distributed sensor measurements at the Georgia Institute of Technology (Georgia Tech) campus in Atlanta, GA. Validated microscale atmospheric models with heterogeneous domains can be used to project the thermal benefits of urban heat mitigation strategies (increase use of high-albedo surfaces, tree and vegetation cover, and smart growth practices) and advise building energy usage modeling and policies.

Teaching students to collaborate with communities: expanding engineering education to create a sustainable future

Engineers are crucial to solving the world’s most pressing challenges, but they cannot do it alone. Creating new and more just systems that support people and planet requires that engineers learn to engage with diverse stakeholders as equal partners. This article shares how the Serve-Learn-Sustain (SLS) initiative at the Georgia Institute of Technology has been introducing new approaches to problem-solving into engineering and technology-focused education to better prepare students to address the sustainability challenges of our moment, in collaboration with community partners, especially those from historically marginalized communities of color. To do this, SLS focuses on de-centering academic expertise and positioning community partners as experts, innovators, and co-educators. The activities and impacts described here, including course-based collaborations with community partners and co-curricular social innovation programs, have implications for other higher education institutions that recognize the importance of partnering with communities to prepare students to use their education to effect change.

Framework for the Use of Extended Reality Modalities in AEC Education

The educational applications of extended reality (XR) modalities, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), have increased significantly over the last ten years. Many educators within the Architecture, Engineering, and Construction (AEC) related degree programs see student benefits that could be derived from bringing these modalities into classrooms, which include but are not limited to: a better understanding of each of the subdisciplines and the coordination necessary between them, visualizing oneself as a professional in AEC, and visualization of difficult concepts to increase engagement, self-efficacy, and learning. These benefits, in turn, help recruitment and retention efforts for these degree programs. However, given the number of technologies available and the fact that they quickly become outdated, there is confusion about the definitions of the different XR modalities and their unique capabilities. This lack of knowledge, combined with limited faculty time and lack of financial resources, can make it overwhelming for educators to choose the right XR modality to accomplish particular educational objectives. There is a lack of guidance in the literature for AEC educators to consider various factors that affect the success of an XR intervention. Grounded in a comprehensive literature review and the educational framework of the Model of Domain Learning, this paper proposes a decision-making framework to help AEC educators select the appropriate technologies, platforms, and devices to use for various educational outcomes (e.g., learning, interest generation, engagement) considering factors such as budget, scalability, space/equipment needs, and the potential benefits and limitations of each XR modality. To this end, a comprehensive review of the literature was performed to decipher various definitions of XR modalities and how they have been previously utilized in AEC Education. The framework was then successfully validated at a summer camp in the School of Building Construction at Georgia Institute of Technology, highlighting the importance of using appropriate XR technologies depending on the educational context.

The Collaboration and Harmonization of Digital Biomarkers for Alzheimer's Research.

Among prominent unmet needs of the Alzheimer's disease and related dementia (ADRD) research community is the ability to leverage opportunities to improve the assessments of persons with and at risk for ADRD. This vision can be realized by providing the tools and infrastructure to transform dementia assessment using remote sensing and digital technologies, pervasive computing, and wireless communications, all in concert with high dimensional data analytics. The Collaborative Aging Research using Technology (CART) initiative (carthome.org), a non-proprietary, sharable end-to-end system for capturing and handling diverse kinds of digital data has been developed. The CART technology platform offers the opportunity to bring new assessment methodology and data types to NIA Alzheimer's Disease Research Centers (ADRC) and related centers and transform the clinical research enterprise. Herein we report on progress in capturing digital data across multiple ADRC's. Participants were recruited from affiliated studies at five NIA ADRC's (Digital Technology Core at Oregon Health & Science University, Minority Aging Research Study at Rush University, Cognitive Empowerment Program at Emory University and Georgia Institute of Technology, ALLFTD study at University of California San Francisco, and a pilot study of Mexican Americans at University of Texas Health Science Center at San Antonio). Field technicians at each center installed the CART technology platform in the home of each participant. A total of 195 research participants have been enrolled across the 5 centers and followed for a median of 19 months (range 1-46). A summary of the center cohorts is provided in the table. The flexibility of the platform and its components has allowed it to successfully be adapted for research in each of these studies with diverse cohorts, use cases, and research aims. Attrition due to technology concerns has been very low (0.5%). Digital biomarker and related data can be readily captured across diverse cohorts, research teams, and settings using a common platform. The largely passive, continuous, and objective data generated with this approach promises to improve the opportunity to create more quantitative and ecologically valid measurements for ADRD phenotypes within the ADRD research community and related research settings.

IEEE PELS Atlanta Chapter Hosts In-Person PCB Design and Manufacturing Workshop

The IEEE Power Electronics Society (PELS) Atlanta Chapter recently partnered with the NCAB Group to deliver a workshop on printed circuit board (PCB) design and manufacturing on 4 October 2022. The event was held at Georgia Institute of Technology (Georgia Tech) and was significant for the PELS Atlanta Chapter because it was its first in-person event since the Covid-19 pandemic and one of the IEEE Day events.

The Collaboration and Harmonization of Digital Biomarkers for Alzheimer’s Research

AbstractBackgroundAmong prominent unmet needs of the Alzheimer’s disease and related dementia (ADRD) research community is the ability to leverage opportunities to improve the assessments of persons with and at risk for ADRD. This vision can be realized by providing the tools and infrastructure to transform dementia assessment using remote sensing and digital technologies, pervasive computing, and wireless communications, all in concert with high dimensional data analytics. The Collaborative Aging Research using Technology (CART) initiative (carthome.org), a non‐proprietary, sharable end‐to‐end system for capturing and handling diverse kinds of digital data has been developed. The CART technology platform offers the opportunity to bring new assessment methodology and data types to NIA Alzheimer’s Disease Research Centers (ADRC) and related centers and transform the clinical research enterprise. Herein we report on progress in capturing digital data across multiple ADRC’s.MethodParticipants were recruited from affiliated studies at five NIA ADRC’s (Digital Technology Core at Oregon Health &amp; Science University, Minority Aging Research Study at Rush University, Cognitive Empowerment Program at Emory University and Georgia Institute of Technology, ALLFTD study at University of California San Francisco, and a pilot study of Mexican Americans at University of Texas Health Science Center at San Antonio). Field technicians at each center installed the CART technology platform in the home of each participant.ResultA total of 195 research participants have been enrolled across the 5 centers and followed for a median of 19 months (range 1‐46). A summary of the center cohorts is provided in the table. The flexibility of the platform and its components has allowed it to successfully be adapted for research in each of these studies with diverse cohorts, use cases, and research aims. Attrition due to technology concerns has been very low (0.5%).ConclusionDigital biomarker and related data can be readily captured across diverse cohorts, research teams, and settings using a common platform. The largely passive, continuous, and objective data generated with this approach promises to improve the opportunity to create more quantitative and ecologically valid measurements for ADRD phenotypes within the ADRD research community and related research settings.

Sulfur- and Coking-Tolerant Anodes for Solid Oxide Fuel Cells

Sulfur- and Coking-tolerant Anodes for Solid Oxide Fuel Cells Zhijun Liu,1 Yucun Zhou,1 Weilin Zhang,1 Jie Hou,1 Xueyu Hu,1 Meilin Liu1, * 1 School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States Solid oxide fuel cells (SOFCs) have potential to be one of the most efficient systems for direct conversion of a wide variety of chemical fuels into electricity. 1-3 However, the lack of sulfur- and coking-tolerant anodes still hinders the development of direct hydrocarbon-fueled SOFCs for efficient and cost-effective operation. The conventional Ni-based anodes may suffer from carbon deposition and sulfur poisoning when they are directly exposed to sulfur-containing hydrocarbon fuels, resulting in degradation in performance or even destruction of the anodes. 4-6 In this presentation, we will report a conventional Ni-Zr0.84Y0.16O2-δ (YSZ) anode decorated with Ce and Ba-based catalyst coatings to significantly enhance the sulfur and coking tolerance. Results suggest that the enhanced sulfur tolerance is attributed to the evenly distributed Ce-based catalyst on the inner surface of the porous Ni-YSZ anode while the enhanced coking tolerance is benefited from the Ba-based catalyst layer on the top of the anode. SOFCs with the catalysts-modified Ni-YSZ anodes show minimal degradation when hydrogen with 100 ppm H2S is used as the fuel. More importantly, stable operation is demonstrated for direct utilization of sulfur-containing liquid fuels (e.g., octane and gasoline). This work demonstrates the great potential of catalyst coatings for enhancing contaminant tolerance and durability of SOFC electrodes. Z. Wang, Y. Wang, D. Qin, Y. Gu, H. Yu, S. Tao, B. Qian and Y. Chao, J. Eur. Ceram. Soc. (2022). S. Sengodan, M. Liu, T.-H. Lim, J. Shin, M. Liu and G. Kim, J. Electrochem. Soc., 161, F668 (2014). Z. Cheng, J.-H. Wang, Y. Choi, L. Yang, M. C. Lin and M. Liu, Energy Environ. Sci., 4, 4380 (2011). T. Hays, A. M. Hussain, Y.-L. Huang, D. W. McOwen and E. D. Wachsman, ACS Appl. Energy Mater., 1, 1559 (2018). Y. Chen, B. deGlee, Y. Tang, Z. Wang, B. Zhao, Y. Wei, L. Zhang, S. Yoo, K. Pei, J. H. Kim, Y. Ding, P. Hu, F. F. Tao and M. Liu, Nat. Energy, 3, 1042 (2018). L. Yang, S. Wang, K. Blinn, M. Liu, Z. Liu, Z. Cheng and M. Liu, Science, 326, 126 (2009).