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Human Interpretable Grammar Encodes Multicellular Systems Biology Models To Democratize Virtual Cell Laboratories, Jeanette A I Johnson, Daniel R Bergman, Heber L Rocha, David L Zhou, Eric Cramer, Ian C Mclean, Yoseph W Dance, Max Booth, Zachary Nicholas, Tamara Lopez-Vidal, Atul Deshpande, Randy Heiland, Elmar Bucher, Fatemeh Shojaeian, Matthew Dunworth, André Forjaz, Michael Getz, Inês Godet, Furkan Kurtoglu, Melissa Lyman, John Metzcar, Jacob T Mitchell, Andrew Raddatz, Jacobo Solorzano, Aneequa Sundus, Yafei Wang, David G Denardo, Andrew J Ewald, Daniele M Gilkes, Luciane T Kagohara, Ashley L Kiemen, Elizabeth D Thompson, Denis Wirtz, Laura D Wood, Pei-Hsun Wu, Neeha Zaidi, Lei Zheng, Jacquelyn W Zimmerman, Jude M Phillip, Elizabeth M Jaffee, Joe W Gray, Lisa M Coussens, Young Hwan Chang, Laura M Heiser, Genevieve L Stein-O'Brien, Elana J Fertig, Paul Macklin Aug 2025

Human Interpretable Grammar Encodes Multicellular Systems Biology Models To Democratize Virtual Cell Laboratories, Jeanette A I Johnson, Daniel R Bergman, Heber L Rocha, David L Zhou, Eric Cramer, Ian C Mclean, Yoseph W Dance, Max Booth, Zachary Nicholas, Tamara Lopez-Vidal, Atul Deshpande, Randy Heiland, Elmar Bucher, Fatemeh Shojaeian, Matthew Dunworth, André Forjaz, Michael Getz, Inês Godet, Furkan Kurtoglu, Melissa Lyman, John Metzcar, Jacob T Mitchell, Andrew Raddatz, Jacobo Solorzano, Aneequa Sundus, Yafei Wang, David G Denardo, Andrew J Ewald, Daniele M Gilkes, Luciane T Kagohara, Ashley L Kiemen, Elizabeth D Thompson, Denis Wirtz, Laura D Wood, Pei-Hsun Wu, Neeha Zaidi, Lei Zheng, Jacquelyn W Zimmerman, Jude M Phillip, Elizabeth M Jaffee, Joe W Gray, Lisa M Coussens, Young Hwan Chang, Laura M Heiser, Genevieve L Stein-O'Brien, Elana J Fertig, Paul Macklin

Faculty, Staff and Student Publications

Cells interact as dynamically evolving ecosystems. While recent single-cell and spatial multi-omics technologies quantify individual cell characteristics, predicting their evolution requires mathematical modeling. We propose a conceptual framework-a cell behavior hypothesis grammar-that uses natural language statements (cell rules) to create mathematical models. This enables systematic integration of biological knowledge and multi-omics data to generate in silico models, enabling virtual "thought experiments" that test and expand our understanding of multicellular systems and generate new testable hypotheses. This paper motivates and describes the grammar, offers a reference implementation, and demonstrates its use in developing both de novo mechanistic models and those informed …

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Molecular Identification Of Acinetobacter Baumannii Isolated From Clinical Samples In Iraq By Using Multiplex Pcr, Yaseen Ismael Mamoori, Ibrahim Abdulla Ahmed, May Ridha Jaafer, Ayat Muneam Ali, Sabreen Ali Hadi Aug 2025

Molecular Identification Of Acinetobacter Baumannii Isolated From Clinical Samples In Iraq By Using Multiplex Pcr, Yaseen Ismael Mamoori, Ibrahim Abdulla Ahmed, May Ridha Jaafer, Ayat Muneam Ali, Sabreen Ali Hadi

Baghdad Science Journal

Acinetobacter baumannii is one of the most clinically significant pathogens that cause severe nosocomial infections. Rapid identification of this bacterial species is essential so that proper treatment can be provided and outbreaks can be controlled. In this study, a multiplex PCR was used to identify A. baumannii. Twenty clinical isolates of A. baumannii and three each of Gram+ve (Staphylococcus aureus, Bacillus licheniformis, Micrococcus yunnanensis) and Gram−ve (Proteus mirabilis, Pseudomonas aeruginosa, Klebsiella pneumoniae) bacterial isolates were subjected to singleplex and multiplex PCR reactions using three sets of species-specific primers (P-Ab-ITS-F, P-Ab-ITS-R; …

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Determination Of Microplastic Compounds In Some Species Of Freshwater Snails In Brantas River, East Java, Indonesia, R Adharyan Islamy, Yuni Kilawati, Veryl Hasan, Fitri Sil Valen, Noorhidayah Mamat, Ahmad Syazni Kamarudin, Yunita Maimunah Aug 2025

Determination Of Microplastic Compounds In Some Species Of Freshwater Snails In Brantas River, East Java, Indonesia, R Adharyan Islamy, Yuni Kilawati, Veryl Hasan, Fitri Sil Valen, Noorhidayah Mamat, Ahmad Syazni Kamarudin, Yunita Maimunah

Baghdad Science Journal

This research examines microplastic contamination patterns in three ecologically significant freshwater gastropods—Pomacea canaliculata, Filopaludina javanica, and Sulcospira testudinaria—in Indonesia's Brantas River system. Through systematic sampling at three downstream locations, we quantified and characterized microplastics within the digestive tracts of these molluscan species. The results demonstrate universal microplastic ingestion across all taxa, though with notable interspecific variation. The invasive P. canaliculata showed the highest contamination levels (4.5 microplastic particles per individual, average weight 15.2g), predominantly comprising textile fibers and plastic fragments. In contrast, F. javanica specimens (average 10.8g) contained primarily cosmetic microbeads and packaging films (2.7 particles/individual), …

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Biodegradable Nanocomposites Thin Films For Recyclability Electronic Covering, Ban Jawad, Ammar Emad Al-Kawaz, Hanaa Jawad, Nabeel Hasan, Balqees Mohammed Aug 2025

Biodegradable Nanocomposites Thin Films For Recyclability Electronic Covering, Ban Jawad, Ammar Emad Al-Kawaz, Hanaa Jawad, Nabeel Hasan, Balqees Mohammed

Baghdad Science Journal

In this study, the nanocomposite thin films were prepared from polyvinyl alcohol (PVA) that reinforced with different proportions of carbon nanotubes (CNTs) via hand casting method . The current work aims to create the connection between improving surface characteristics for high efficiency electronic covering and biodegradability. The nature of bonding between the PVA and CNTs were studied by Fourier-transform infrared spectroscopy (FTIR). Wettability properties were studied via contact angle analyzer. The two dimensions' morphology of nanocomposites was studied using atomic force microscopy (AFM). Biodegradable tests of nanocomposites were performed via burial in soil for seven days. According to the contact …

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Biogenic Synthesis And Characterization Of Metal Oxides Nanostructures Using Plant-Mediated Extracts Via Green Microwave-Assisted Method, Sahar Ismael Imran Aug 2025

Biogenic Synthesis And Characterization Of Metal Oxides Nanostructures Using Plant-Mediated Extracts Via Green Microwave-Assisted Method, Sahar Ismael Imran

Baghdad Science Journal

Two simple innovative green methods have been developed to synthesize precise phase of cobalt oxide nanostructures Co3O4; the first method included using cobalt hydroxide carbonate (extra pure) Co2CO3(OH)2 with aqueous plants extract of syzygium aromaticum (clove) bud extract (SABE) once; then again with pomegranate peel extract (PPE) both samples were submitted to microwave irradiation for 5 minutes followed by discrete calcination at 500 oC and then 850 oC an interested shapes of doted semi-cubic of Co3O4-NPs was successfully obtained in both cases; the samples …

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Full-Stack Quantum Computing, Benjamin C A Morrison Aug 2025

Full-Stack Quantum Computing, Benjamin C A Morrison

Physics & Astronomy ETDs

Quantum computing is a promising tool for solving computational problems in several areas, including the simulation of physical and chemical systems. The design of practical quantum computing systems for these applications is a daunting task, requiring collaborative work by interdisciplinary teams considering different abstractions of the same systems. This dissertation presents work on the development of those abstractions, and on components that bridge multiple layers of abstraction. I first provide an introduction to quantum circuit model computation, error correction with stabilizer codes, and physics simulation algorithms. In joint work with the QSCOUT software team, I then describe the development of …

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Tort Liability For Failure To Age Gate: A Promising Regulatory Response To Digital Public Health Hazards, Matthew B. Lawrence, Brett Frischmann, Avi Sholkoff Aug 2025

Tort Liability For Failure To Age Gate: A Promising Regulatory Response To Digital Public Health Hazards, Matthew B. Lawrence, Brett Frischmann, Avi Sholkoff

Faculty Publications

Tort liability for failure to “age gate” is a promising legal response to the public health hazards of AI, social media, sports gambling, and other digital spaces. Tort liability for failure to “age gate” hinges liability for harms to minors on an app’s failure to take reasonable steps to prevent minors from gaining access or otherwise to apply appropriate governance rules, such as privacy-protective default settings or ensuring genuine parental consent. While no one legal response is a panacea, tort liability for failure to age gate carries several distinctive advantages that make it a particularly promising option at this stage …

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Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye Aug 2025

Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye

Faculty Publications

Stable and reproducible reference electrodes (REs) are essential for electrochemical systems operating in high-temperature molten salts, where consistent control of potential is required. This study uses three different solutes to investigate the development and evaluation of REs in eutectic LiCl-KCl at 773 K. The solutes tested were NiCl2, AgCl, and NiO, each prepared at multiple concentrations to assess stability, reproducibility, and saturation. Electrochemical stability was measured over three days using chronopotentiometry (CP), followed by open circuit potential (OCP), with cyclic voltammetry (CV) also integrated to monitor changes in electrochemical behavior over time. The CP-OCP approach established a Li+/Li redox potential, …

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Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye Aug 2025

Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye

Faculty Publications

Stable and reproducible reference electrodes (REs) are essential for electrochemical systems operating in high-temperature molten salts, where consistent control of potential is required. This study uses three different solutes to investigate the development and evaluation of REs in eutectic LiCl-KCl at 773 K. The solutes tested were NiCl2, AgCl, and NiO, each prepared at multiple concentrations to assess stability, reproducibility, and saturation. Electrochemical stability was measured over three days using chronopotentiometry (CP), followed by open circuit potential (OCP), with cyclic voltammetry (CV) also integrated to monitor changes in electrochemical behavior over time. The CP-OCP approach established a Li …

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Automated Self-Improving And User-Responsive Video Chapter Generation Using Generative Artificial Intelligence, Ilia Labzovsky, Danny Karmon Aug 2025

Automated Self-Improving And User-Responsive Video Chapter Generation Using Generative Artificial Intelligence, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Traditional video segmentation methods that offer limited granularity, static chapter structures. Such solutions lack deep semantic understanding and do not incorporate user interaction data for video segmentation, leading to inefficient information discovery and a poor user experience. This disclosure describes the use of generative artificial intelligence (genAI) to automatically create and dynamically refine smart chapters for long-form videos. These chapters are rich in detail, including titles, summaries, key concepts, and preview clips. With user permission, user interaction data can be used to dynamically adapt the chapter structure for individual viewers or the overall population. The techniques transform static videos into …

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Augmenting Photo Reminiscing Experiences With Llm-Generated Narrations, Ji Hun Kim, Abdulrahman Khan, Tommy Meaney, Tim Zhu, Zhou Zhou Aug 2025

Augmenting Photo Reminiscing Experiences With Llm-Generated Narrations, Ji Hun Kim, Abdulrahman Khan, Tommy Meaney, Tim Zhu, Zhou Zhou

Defensive Publications Series

This disclosure describes techniques that leverage a large language model (LLM) to generate custom narrations when arranging sets of photos in the form of a visual experience for users to reminisce on thereby personalizing and adding depth to the reminiscing experience. Per the techniques, a set of photos from a user’s photo library to be featured in a visual experience is identified. Photo pixels, metadata, and other relevant data are used to populate a prompt that is to an LLM. The response from the LLM is parsed and associated with photos to be featured in the visual experience. The LLM-generated …

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Real-Time Feedback On User-Written Generative Artificial Intelligence Model Prompts, Gulmohar Khan, Ramprasad Sedouram, Karthik Srinivas Aug 2025

Real-Time Feedback On User-Written Generative Artificial Intelligence Model Prompts, Gulmohar Khan, Ramprasad Sedouram, Karthik Srinivas

Defensive Publications Series

A common user interface for consumer use of generative artificial intelligence (genAI) tools is a chat interface, where a user can input their request as a text prompt within an input field and where the genAI model generates a response that answers the prompt. When users are insufficiently skilled at prompting, they may require multiple interactions with the genAI tool before a satisfactory result is generated. There are no mechanisms that guide the users to provide a prompt that uses good prompting strategies to express their intent. Also, user-provided prompts may include errors, gaps, or other issues that impact the …

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The Law Of Diminishing Marginal Product Of Labor: Let Us Work To Nail It!, Shengnan Fang Aug 2025

The Law Of Diminishing Marginal Product Of Labor: Let Us Work To Nail It!, Shengnan Fang

Southwestern Business Administration Journal

In the post-pandemic, the transition back to in-person teaching presents a significant adjustment for both instructors and students. However, returning to in-person teaching does not guarantee active learning and engagement. This paper introduces an interactive classroom activity and the follow-up debriefing session, which allows students to delve deeper understanding of the law of marginal product of labor. The activity and the debriefing session not only encourage student-instructor interaction and the active cooperation among students, but also demonstrate the long-term retention of this concept.

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System And Method For Thermochromic Indicator Payment Card, Mohit Koul, Rohit Mukherjee Aug 2025

System And Method For Thermochromic Indicator Payment Card, Mohit Koul, Rohit Mukherjee

Defensive Publications Series

The present disclosure related to a system and method for thermochromic indicator payment card. The system and method more specifically implements thermochromic technique. The payment card is embedded with thermochromic material that can change colour in response to temperature fluctuation, providing a passive and dynamic visual indicator for transaction verification and security alerts. Further, the present disclosure enables real time transaction awareness and fraud detection without relying on electronic alerts and external power sources.

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Tax Rule Validation Using Large Language Models, Sandeep Chandna, Misha Narinsky Aug 2025

Tax Rule Validation Using Large Language Models, Sandeep Chandna, Misha Narinsky

Defensive Publications Series

The process of mapping products to jurisdiction-specific tax categories and validating rates against evolving legislation can involve complex, manual effort. A system is described that may leverage Large Language Models (LLMs) to assist with these tasks. The system can be configured to perform functions such as interpreting natural-language text from tax laws to classify products from an internal catalog. Additionally, the system can source and ingest public tax data to compare a company's internal tax rule configurations against external information sources. By automating the cross-referencing of internal product data with external legal and rate information, such a system can facilitate …

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Establishing A Debug Channel Using Conductive Components Of An Electronic Device To Create Switchable Communication Paths, Averill Chang, Zoro Chang Aug 2025

Establishing A Debug Channel Using Conductive Components Of An Electronic Device To Create Switchable Communication Paths, Averill Chang, Zoro Chang

Defensive Publications Series

This disclosure describes a technique for establishing a debug channel over a wired connection by repurposing hardware components of an electronic device to create switchable communication paths for data transfer. In particular, internal debug signals can be selectively routed to non-dedicated external hardware contacts, for example, by using switching mechanisms. This approach may provide a stable and reliable debugging channel, potentially reducing the need for dedicated, corrosion-prone debug pins and mitigating certain performance and cost considerations associated with some wireless communication techniques.

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A System For Recommending Advertising Campaign Settings Based On Performance Data Analysis, Ankit Aggarwal Aug 2025

A System For Recommending Advertising Campaign Settings Based On Performance Data Analysis, Ankit Aggarwal

Defensive Publications Series

Advertisers may experience difficulty in defining effective targeting and configuration settings for digital promotional campaigns, which can result in performance that does not meet certain goals for scale and return on investment (ROI). A system can utilize an artificial intelligence agent to analyze historical campaign data. The system may correlate past campaign configuration changes, such as adjustments to bids, budgets, and targeting criteria, with corresponding performance metrics including, for example, impressions, redemptions, and cost-per-action. Based on this correlation analysis, the system can formulate tailored recommendations for campaign settings to help meet specific advertiser goals. This process can contribute to improved …

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The Innovative Technique For Obtaining The Solutions Of Jeffery Hamel Nano-Fluids Flow Problem, Haedir Abd Alrazak Namoos, Abeer Majeed Jasim Aug 2025

The Innovative Technique For Obtaining The Solutions Of Jeffery Hamel Nano-Fluids Flow Problem, Haedir Abd Alrazak Namoos, Abeer Majeed Jasim

Iraqi Journal for Computer Science and Mathematics

The study of heat transfer in nanofluid flows is increasingly important in many engineering, medical, and industrial applications. These fluids offer enhanced thermal cooling properties compared to conventional fluids. The research problem lies in the challenges of solving the Jeffrey-Hammel flow model for nanofluids, which includes coupled nonlinear differential equations that describe the thermal and hydrodynamic behavior of this type of flow, taking into account the influence of multiple factors such as the type, size, and concentration of nanoparticles. This research aims to propose a new hybrid analytical technique that combines the Laplace transform and the q-homotopy analysis technique with …

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Optimized Hybrid Watermarking: Dual-Scheme Strategies For Enhanced Robustness, Ooi Jessie, Liew Siau Chuin, Syifak Izhar Bt Hisham, Khor Hui Liang, Khoo Bee Ee, Jasni Mohamad Zain Aug 2025

Optimized Hybrid Watermarking: Dual-Scheme Strategies For Enhanced Robustness, Ooi Jessie, Liew Siau Chuin, Syifak Izhar Bt Hisham, Khor Hui Liang, Khoo Bee Ee, Jasni Mohamad Zain

Iraqi Journal for Computer Science and Mathematics

Digital watermarking is crucial in content identification and copyright protection, particularly multimedia and medical imaging. This paper introduces two novel hybrid watermarking methods, Entropy-Guided Singular Embedding (EGSE) and Entropy-Guided Hybrid Embedding (EGHE), that improve upon existing techniques by integrating entropy-based adaptive block selection with Particle Swarm Optimization (PSO) for dynamic embedding strength determination. Unlike traditional methods, which rely on fixed embedding regions or manual parameter tuning, the proposed approaches automatically identify high-entropy regions to embed watermark signals, ensuring stronger resistance to distortion while maintaining image quality. EGSE employs Integer Wavelet Transform (IWT) and Singular Value Decomposition (SVD), whereas EGHE enhances …

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Retracted: Efficient Multi-User Computation Offloading And Reducing Latency In Mobile-Edge Computing For Iot Applications, Sarmad T. Abdul-Samad, Osamah Al-Hwaidi, Ali Abd Al-Rasool Muslem Aug 2025

Retracted: Efficient Multi-User Computation Offloading And Reducing Latency In Mobile-Edge Computing For Iot Applications, Sarmad T. Abdul-Samad, Osamah Al-Hwaidi, Ali Abd Al-Rasool Muslem

Iraqi Journal for Computer Science and Mathematics

Mobile Edge Computing (MEC) is an inventive paradigm for computing that has the potential to notably diminish latency and energy consumption by transferring computationally demanding jobs to edge clouds near intelligent mobile users. This investigation aims to reduce offloading and latency between multiple users and edge computing in the context of Internet of Things (IoT) applications in the fifth generation (5G) by utilizing an optimization algorithm called the Bald Eagle Search Optimization Algorithm. Although employing deep learning methods might increase time consumption and computational complexity, an edge computing system enables devices to transfer their demanding jobs to edge servers, decreasing …

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Retracted: Iot Flow Parameters Classification Based On Machine Learning Techniques, El-Sayed M. El-Kenawy, Marwa M. Eid, Ban Salman Shukur, Amel Ali Alhussan, Doaa Sami Khafaga Aug 2025

Retracted: Iot Flow Parameters Classification Based On Machine Learning Techniques, El-Sayed M. El-Kenawy, Marwa M. Eid, Ban Salman Shukur, Amel Ali Alhussan, Doaa Sami Khafaga

Iraqi Journal for Computer Science and Mathematics

In recent years, there has been a highly remarkable convergence of artificial intelligence (AI) and the Internet of Things (IoT), which has made rapid progress in smart city initiatives by developing smart devices for such cities. Since these devices are increasingly diversified, they require a resilient communication network to demonstrate high performance in managing consistent traffic flows. A machine learning model intended for identifying network parameters from diverse devices, in addition to proposing modifications meant for network performance enhancement, is developed in this study. In relation to packet data as a network traffic parameter, employing gateway devices can facilitate its …

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Retracted: Metaguard: A Federated Learning Approach To Hybrid Xgboost And Meta-Learning Models For Proactive Cyber Threat Hunting, Shatha H. Jafer Al-Khalisy, Ghada Al-Kateb Aug 2025

Retracted: Metaguard: A Federated Learning Approach To Hybrid Xgboost And Meta-Learning Models For Proactive Cyber Threat Hunting, Shatha H. Jafer Al-Khalisy, Ghada Al-Kateb

Iraqi Journal for Computer Science and Mathematics

In an increasingly interconnected world, cybersecurity threats have become more sophisticated, necessitating advanced, scalable, and privacy-preserving solutions. MetaGuard emerges as a novel framework that integrates federated learning with hybrid machine learning models, specifically XGBoost and meta-learning, to enhance proactive cyber threat detection. This framework offers a robust, distributed approach to cybersecurity, ensuring high detection accuracy while preserving user privacy through the implementation of differential privacy and homomorphic encryption. MetaGuard leverages distributed nodes to collaboratively train a global model, enabling rapid adaptation to new threats without the need for centralized data aggregation. Experimental evaluations using the CYBER-2024 dataset demonstrate that MetaGuard …

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2015, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2015, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2015 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2019, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2019, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2019 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2014, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2014, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2014 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2017, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2017, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2017 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2018, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2018, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2018 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2020, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2020, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2020 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2021, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2021, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2021 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2022, Shelbie Wickett, Ana Dyreson Aug 2025

Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2022, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2022 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.

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