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Ultrafast Terahertz Spectroscopy And The Suppression Of Superconductivity In Strained Iron Selenide Below 1 Kelvin, Tracy Glen Hastings Jan 2026

Ultrafast Terahertz Spectroscopy And The Suppression Of Superconductivity In Strained Iron Selenide Below 1 Kelvin, Tracy Glen Hastings

ETDs from 2020-2029

We report on terahertz time-domain spectroscopy measurements of iron selenide thin films of various thicknesses grown on a magnesium oxide substrate, focusing on the frequency-dependent complex conductivity in the range of 0.25 - 7 THz. By an- alyzing films with and without an approximately 100 nm thick Se capping layer, we examined the role of oxidation in the suppression of superconductivity. X-ray photo- electron spectroscopy data confirmed that oxidation was effectively mitigated, yet the films exhibited insulating behavior down to 200 mK, a temperature range that has not been extensively studied in this system. Our results indicate that the suppression …

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Investigation Of The Phase Space Of Tungsten Oxides Nanostructures Via Resistive Hot Wire Oxidation For Efficient Electrochemical Energy Storage And Conversion Applications., Krishna Kc Jan 2026

Investigation Of The Phase Space Of Tungsten Oxides Nanostructures Via Resistive Hot Wire Oxidation For Efficient Electrochemical Energy Storage And Conversion Applications., Krishna Kc

Theses and Dissertations

The synthesis of tungsten oxide (WO3−δ, 0 ≤ δ ≤ 1) nanostructures with controlled phase and morphology remains a significant challenge, particularly for applications in energy conversion and storage. This dissertation presents an eco-friendly and time-efficient method for synthesizing tungsten oxide nanostructures with tailored stoichiometry and crystal phases through the Resistive Hot Wire Oxidation (RHWO) technique. In this method, a tungsten wire is heated via resistive heating in an oxygen environment, and by precisely controlling the growth conditions, we successfully synthesized WO2.72, WO2.76, WO2.80, WO2.83, WO2.90, and WO2.98 phases with controlled morphologies using simple instrumentation. This approach eliminates the need …

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Mapping Post-Rainfall Recovery In Arid Regions Using A Hierarchical U-Net, Xin Hong Jan 2026

Mapping Post-Rainfall Recovery In Arid Regions Using A Hierarchical U-Net, Xin Hong

All Works

The United Arab Emirates (UAE) experienced an extreme rainfall event between April 15 and 17, 2024, and that resulted in severe flooding in its coastal regions. Dubai was among the most affected regions. This study applies a hierarchical deep learning model on PlanetScope imagery to detect flood inundation, quantify flood extent by land cover, and examine short-term recovery dynamics. While earlier work detailed the methodological development of a hierarchical U-Net model (Hong et al., in press), here we emphasize its application for monitoring resilience trajectories in an arid urban environment. Results show that approximately 22 km2 of land was …

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Generative Ai Use And Self-Learning In Higher Education: The Role Of Learning Difficulties, Dana Saleh, Areej Elsayary Jan 2026

Generative Ai Use And Self-Learning In Higher Education: The Role Of Learning Difficulties, Dana Saleh, Areej Elsayary

All Works

The rapid development of GenAI tools and their adoption in education have shown promising potential to personalize learning experiences. However, their effectiveness is influenced by factors such as familiarity, frequency of use, and the impact on self-learning. This study investigates the undergraduate students' familiarity with Generative AI (GenAI) tools, their frequency of use, and the perceived impact of GenAI on self-learning, with particular consideration of differences between students with and without learning difficulties. Prompt engineering is also included as a secondary aspect of students' GenAI experience. The research employed a quantitative survey design, utilizing validated scales to measure familiarity, usage …

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Mapping Urban Vegetation Changes Using Planetscope Imagery And Gis: A Case Study Of The 2024 Dubai Flood, Sumayya Almansoori, Xin Hong Jan 2026

Mapping Urban Vegetation Changes Using Planetscope Imagery And Gis: A Case Study Of The 2024 Dubai Flood, Sumayya Almansoori, Xin Hong

All Works

In April 2024, unexpected heavy rainfall triggered one of the most severe flooding events in Dubai’s recent history, causing widespread concern for urban infrastructure and green spaces. This study evaluates the flood’s impact on urban vegetation in South Dubai using high-resolution PlanetScope satellite imagery and the Normalized Difference Vegetation Index (NDVI). Vegetation conditions before and after the flood (April 14 and April 18–19, 2024) were quantified and compared using NDVI analysis within QGIS to assess changes in vegetation health and coverage. Results indicate significant declines in vegetation health in areas dominated by intensive turf management, such as Damac Hills and …

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Recurrence Of Locally Perturbed Random Walks With Long Jumps, Tamer Oraby, András Telcs Jan 2026

Recurrence Of Locally Perturbed Random Walks With Long Jumps, Tamer Oraby, András Telcs

School of Mathematical & Statistical Sciences Faculty Publications

We study the effect of local perturbations on the recurrence of random walks with long jumps. Such walks serve as discrete models for infinite-horizon Lorentz processes, in which a particle can take arbitrarily long steps in specific directions. Motivated by a question of Sinai in the finite-horizon case and its extension by Szász to the infinite-horizon setting, we give recurrence and transience criteria for long-jump walks on Z2 and certain classes of graphs, and we prove that local perturbations in a bounded region do not change the recurrence property. Our proofs combine the Markov chain approach with the electrical network …

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A Cross-System Analysis Of Structural Commensurability Between Axiomatic Foundations Of Set Theory (Zfc) And The Principles Of Transcendent Wisdom, Mohammadjavad Maarefvand Jan 2026

A Cross-System Analysis Of Structural Commensurability Between Axiomatic Foundations Of Set Theory (Zfc) And The Principles Of Transcendent Wisdom, Mohammadjavad Maarefvand

Comparative Philosophy

Building on observed similarities in uniqueness proofs for the empty set and the Necessary Existent (Wājib al-Wujūd), this study engages the meta-methodological issue of cross-system commensurability. It identifies four instances of structural commensurability between Zermelo-Fraenkel set theory with Choice (ZFC) and Mulla Sadra's Transcendent Wisdom (Ḥikmat al-Muta'āliyah). First, identity principles: the Axiom of Extensionality provides a formal operational criterion analogous to the philosophical principle of identity through absence of distinguishing features. Second, multiplicity mechanisms: ZFC's constructor axioms (bottom-up construction) and emanation principles (top-down explanation) address analogous problems with inverse orientations. Third, transcending limitation: the Axiom of Infinity ensuring quantitative extensional …

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Pitfalls Of Multiplied 3d Landforms Projection: Mapping Deep Multilevel Cave Systems In The Alps (Gamssteig Cave System, Göll Massif), Mateusz Golicz, Jacek Szczygieł Jan 2026

Pitfalls Of Multiplied 3d Landforms Projection: Mapping Deep Multilevel Cave Systems In The Alps (Gamssteig Cave System, Göll Massif), Mateusz Golicz, Jacek Szczygieł

International Journal of Speleology

Cave mapping represents one of the most complex challenges in geomorphological cartography, as it must convey the true three-dimensional geometry of subterranean spaces such as overlapping passages, irregular cross-sections, and variable ceiling and floor morphologies, within a two-dimensional framework. This study examines the methodological and interpretive challenges of cave mapping, utilizing the Gamssteighöhle cave in the Austrian Alps as a case study. During the 11 years of exploration, over 10 km of passages were surveyed using the DistoX vector survey method. Yet, the complex morphological forms necessitated deviations from the standard symbology recommended by the International Union of Speleology. Several …

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Correlation Analysis Of Factors Associated With Students’ Numeracy Skills Using Decision Tree Algorithms, Yenita Roza, Arisman Adnan, Zul Indra, Tuti Alawiyah Jan 2026

Correlation Analysis Of Factors Associated With Students’ Numeracy Skills Using Decision Tree Algorithms, Yenita Roza, Arisman Adnan, Zul Indra, Tuti Alawiyah

Numeracy

Numeracy is a critical competency for academic and everyday functioning. This study investigates the key factors associated with students’ numeracy skills by employing decision tree algorithms as a data mining technique. The dataset used in this study is educational assessment data from Indonesia. Utilizing a dataset comprising 6,953 entries and 60 variables from Education Report, the research adopts an exploratory approach involving data preprocessing, exploratory data analysis, and decision tree model construction. The findings reveal that students’ literacy skills serve as the most dominant predictor of numeracy proficiency, emerging as the root node in the decision tree structure. Additional associated …

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Predicting Male Flowering Time In Maize Using Machine Learning Technique, Dipok Deb Jan 2026

Predicting Male Flowering Time In Maize Using Machine Learning Technique, Dipok Deb

Data Science and Data Mining

This study compares three machine learning approaches—Elastic Net, Principal Component Regression (PCR), and Partial Least Squares (PLS)—for variable selection and prediction within a high-dimensional Maize-GWAS framework. The goal was to accurately predict the complex polygenic trait of time to male flowering while managing the challenges of numerous, highly correlated genetic markers. The ENET model, which combines l1 and l2 penalties, delivered the highest predictive accuracy and successfully identified a select subset of the most influential genetic variants. In contrast, PCR and PLS, both utilizing dimension reduction, offered a significant advantage in computational speed and model stability. The findings confirm that …

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Sparc Grade 2 Integrated Coding-Math Lessons, Spatial Activities And Robot Coding (Sparc) Jan 2026

Sparc Grade 2 Integrated Coding-Math Lessons, Spatial Activities And Robot Coding (Sparc)

Spatial Activities and Robot Coding (SPARC)

SPARC-Math Grade 2 Integrated Coding-Math Lessons with related Utah Core Standards and lessons for Spatial and Programming Language and Geometry.

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Datasets For Response Of A Liquid Water Cloud To In Situ Hygroscopic Seeding, James Simmons Jan 2026

Datasets For Response Of A Liquid Water Cloud To In Situ Hygroscopic Seeding, James Simmons

Michigan Tech Research Data

We have performed experiments in the Michigan Tech Pi Chamber to assess the response of a steady-state, liquid water cloud to in situ injection of a hygroscopic powder. Three materials were tested: jet-milled NaCl, a newly developed NaCl-TiO2 core-shell material, and Arizona test dust as a non-hygroscopic control. Injection of the hygroscopic materials resulted in an increase of the local liquid water content, stimulating formation of droplets up to 60 microns in diameter. Upon injection of the powders, the pre-existing cloud in the chamber collapsed.

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Integrating Adversarial Scenarios Into Llm Security Labs: An Experience Report On A Hands-On Approach, Dominic A. Wilson Jan 2026

Integrating Adversarial Scenarios Into Llm Security Labs: An Experience Report On A Hands-On Approach, Dominic A. Wilson

Journal of Cybersecurity Education, Research and Practice

This paper presents an exploratory case study detailed as a pedagogical experience report on integrating adversarial Large Language Model (LLM) scenarios into a graduate cybersecurity curriculum. In addition to prompt injection, sophisticated techniques such as jailbreaking and model inversion pose emerging threats that traditional computer security curricula often lack. We present the design and implementation of a structured, hands-on module addressing this gap, utilizing a custom Retrieval-Augmented Generation (RAG) platform with local open-source LLMs. A cohort of 16 graduate students participated in this two-week pilot module, engaging in "red team" activities to actively exploit model alignment and privacy vulnerabilities. The …

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Gravitational Wave Memory From Binary Neutron Star Mergers, Jamie Bamber, Antonios Tsokaros, Milton Ruiz, Stuart L. Shapiro, Marc Favata, Matthew Karlson, Fabrizio Venturi Piñas Jan 2026

Gravitational Wave Memory From Binary Neutron Star Mergers, Jamie Bamber, Antonios Tsokaros, Milton Ruiz, Stuart L. Shapiro, Marc Favata, Matthew Karlson, Fabrizio Venturi Piñas

Department of Physics and Astronomy Faculty Scholarship and Creative Works

The gravitational wave signal produced by the merger of two compact objects includes both an oscillatory transient and a nonoscillatory part, the so-called memory effect. This produces a permanent displacement of test masses and has not yet been measured. We use general relativistic magnetohydrodynamic simulations, including neutrinos, with several representative viable equations of state, to quantify—for the first time—the effects of the neutron star magnetic field, neutrino emission, and the ejected mass on the linear and nonlinear displacement memory in binary neutron star mergers. We find that the additional contributions due to the emission of electromagnetic radiation, neutrinos and baryonic …

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Fairmaterials: Ontology Tools With Data Fairification In Development, Alexander Harding Bradley, Jonathan E. Gordon, Balashanmuga Priyan Rajamohan, Van D. Tran, Nathaniel Hahn, Kiefer Lin, Hayden W. Caldwell, Arafath Nihar, Quynh D. Tran, Yinghui Wu, Laura S. Bruckman, Erika I. Barcelos, Roger H. French Jan 2026

Fairmaterials: Ontology Tools With Data Fairification In Development, Alexander Harding Bradley, Jonathan E. Gordon, Balashanmuga Priyan Rajamohan, Van D. Tran, Nathaniel Hahn, Kiefer Lin, Hayden W. Caldwell, Arafath Nihar, Quynh D. Tran, Yinghui Wu, Laura S. Bruckman, Erika I. Barcelos, Roger H. French

Student Scholarship

The bilingual FAIRmaterials package simplifies the creation and visualization of materials and data science ontologies. FAIRmaterials, available in the Python and R languages, addresses the complexities associated with traditional ontology editors based on manual user input such as Protege (Musen, 2015) with an intuitive workflow and easy-to-use templates, making it accessible to users both experienced and inexperienced with ontologies. The FAIRmaterials package is its ability to programatically convert simple and structured CSV inputs into rich, well-defined ontologies. This capability is designed to support the findability, accessibility, interoperability, and reusability (FAIR) (Wilkinson et al., 2016) of research data and serve as …

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Revealing The Fuel Of A Quantum Continuous Measurement-Based Refrigerator, Cyril Elouard, Sreenath K. Manikandan, Andrew N. Jordan, Géraldine Haack Jan 2026

Revealing The Fuel Of A Quantum Continuous Measurement-Based Refrigerator, Cyril Elouard, Sreenath K. Manikandan, Andrew N. Jordan, Géraldine Haack

Mathematics, Physics, and Computer Science Faculty Articles and Research

While quantum measurements have been shown to constitute a resource for operating quantum thermal machines, the nature of the energy exchanges involved in the interaction between system and measuring apparatus is still under debate. In this work, we show that a microscopic model of the apparatus is necessary to unambiguously determine whether quantum measurements provide energy in the form of heat or work. We illustrate this result by considering a measurement-based refrigerator, made of a double quantum dot embedded in a two-terminal device, with the charge of one of the dots being continuously monitored. Tuning the parameters of the measurement …

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Multi-Scale Source-Sink Matching And Transportation Route Optimization For Geologic Co2 Sequestration Of Industrial Co2 Stationary Sources In Jiangsu Province, Tian Yuchen, Liu Shiqi, Zhang Helong, Mo Hang, Wang Dexi, Sang Shuxun, Wang Jun, Wang Wenkai, Zheng Sijian Jan 2026

Multi-Scale Source-Sink Matching And Transportation Route Optimization For Geologic Co2 Sequestration Of Industrial Co2 Stationary Sources In Jiangsu Province, Tian Yuchen, Liu Shiqi, Zhang Helong, Mo Hang, Wang Dexi, Sang Shuxun, Wang Jun, Wang Wenkai, Zheng Sijian

Coal Geology & Exploration

Objective CO2 stationary sources tend to show a dispersed distribution, while carbon sinks are concentrated in specific sedimentary basins. The resulting significant source-sink mismatch in space restricts the large-scale applications of carbon capture, utilization, and storage (CCUS) technology. Therefore, reducing CCUS costs by investigating source-sink matching and optimizing CO2 transportation routes under a multi-scale spatial framework is the key to the engineering applications of CCUS. Methods Targeting representative industrial CO2 stationary sources and carbon sinks in Jiangsu Province, this study established source-sink matching models on multiple scales covering hydrocarbon reservoirs, sags, and basins. Based on both the …

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Reaction Mechanisms During Co2 Absorption In Ethanolamine Solutions, Teng Weiwei, Wu Yan, Fan Yuxin, Liao Tao, Wang Zicheng, Yu Hui, Li Meng, Xu Xiaoling Jan 2026

Reaction Mechanisms During Co2 Absorption In Ethanolamine Solutions, Teng Weiwei, Wu Yan, Fan Yuxin, Liao Tao, Wang Zicheng, Yu Hui, Li Meng, Xu Xiaoling

Coal Geology & Exploration

Objective Presently, CO2 capture technology based on the ethanolamine solutions suffers from drawbacks such as high energy consumption and elevated costs. A primary method to address these challenges is to construct blended amine solutions by synergistically integrating the absorption and desorption advantages of different types of ethanolamines. Hydroxyethyl ethylenediamine (AEEA) and N-methyldiethanolamine (MDEA) represent two major commonly used absorbents, and their blending necessitates an accurate understanding of their CO2 absorption patterns, including CO2 loading capacity, the ion-concentration distribution patterns of reaction products, and reaction orders. Currently, their absorption mechanisms remain poorly understood, and there is a lack …

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Performance And Carbonation Mechanisms Of Multi-Source Solid Waste-Based Carbon-Sequestering Backfill Materials For Coal Mines, Guo Qingwen, Li Dongyin, Wang Shen, Liu Songhui, Li Quanjiang, Li Song Jan 2026

Performance And Carbonation Mechanisms Of Multi-Source Solid Waste-Based Carbon-Sequestering Backfill Materials For Coal Mines, Guo Qingwen, Li Dongyin, Wang Shen, Liu Songhui, Li Quanjiang, Li Song

Coal Geology & Exploration

Objective The reutilization of solid waste such as coal gangue and steel slag is critical to green mining. Preparing solid waste-based carbon-sequestering backfill materials and then filling them into coal mine goaves emerge as an important approach to solid waste utilization, carbon emission reduction, and green coal mining.Methods Based on the designed mix proportions of a high-solid-waste system consisting of steel slag and coal gangue, in which steel slag was used to compensate for the insufficient carbonation reactivity of coal gangue, this study prepared solid waste-based backfill material samples composed of coal gangue, steel slag, and cement. Through mechanical …

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Evolutionary Mechanisms Of Nanopores And Adsorption Capacity In Shales Under Scco2-Water-Rock Interactions, Feng Guangjun, Wang Meng, Zhu Yanming, Song Yu, Dai Xuguang, Zheng Sijian, Xie Hong, Shang Fuhua Jan 2026

Evolutionary Mechanisms Of Nanopores And Adsorption Capacity In Shales Under Scco2-Water-Rock Interactions, Feng Guangjun, Wang Meng, Zhu Yanming, Song Yu, Dai Xuguang, Zheng Sijian, Xie Hong, Shang Fuhua

Coal Geology & Exploration

Background Supercritical carbon dioxide (ScCO2 )-enhanced shale oil and gas recovery serves as an effective approach to geologic CO2 sequestration. Injecting ScCO2 into shale reservoirs can trigger complex ScCO2-water-rock interactions, thereby altering the material composition, nanopore structure, and adsorption capacity of shales. Examining their evolutionary processes represents a critical scientific issue in the evaluation of CO2 sequestration efficiency. Methods This study investigated the shales of the Longmaxi Formation in the southeastern Chongqing area. Through simulation experiments on ScCO2-water-rock interactions and by integrating X-ray diffraction (XRD), low-pressure CO2/N2 adsorption, fractal …

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Huff-N-Puff Experiments Of Mixed Co2 And Formation Water For Enhanced Oil Recovery Of Shale Oil In The Subei Basin, Xiao Pufu, Zhang Jie, Yang Zhengmao, Wang Rui, Cui Maolei, Lei Mengmeng, Tian Yunfei, Zeng Jun, Liu Yuwei Jan 2026

Huff-N-Puff Experiments Of Mixed Co2 And Formation Water For Enhanced Oil Recovery Of Shale Oil In The Subei Basin, Xiao Pufu, Zhang Jie, Yang Zhengmao, Wang Rui, Cui Maolei, Lei Mengmeng, Tian Yunfei, Zeng Jun, Liu Yuwei

Coal Geology & Exploration

Objective In the Subei Basin, the depletion-drive development of shale oil following reservoir volume fracturing faces challenges such as rapid production decline and low oil recovery. To address these issues, this study explored an experimental method of CO2 + formation water (also referred to as carbonated water) huff and puff for enhanced oil recovery (EOR) by combining the felsic, clayey, and organic-rich characteristics of shale oil reservoirs in the Subei Basin, along with CO2 high pressure quality exchange technology. Methods Through multiple physical simulation experiments in the laboratory, combined with nuclear magnetic resonance (NMR) experiment technology, this study …

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Advances In Research On Co2 Corrosion Mechanisms, Modification, And Application Of Cements For Injection Wells In Geologic Co2 Sequestration, Hao Feng, Zhang Zongfeng, Wang Hongmin, Du Shuai, Huang Da, Yang Xuefeng, Wang Kexin, Zhang Yu Jan 2026

Advances In Research On Co2 Corrosion Mechanisms, Modification, And Application Of Cements For Injection Wells In Geologic Co2 Sequestration, Hao Feng, Zhang Zongfeng, Wang Hongmin, Du Shuai, Huang Da, Yang Xuefeng, Wang Kexin, Zhang Yu

Coal Geology & Exploration

Background and Merhod The wellbore integrity of CO2 injection wells plays a critical role in maintaining the long-term safe operation of geologic CO2 sequestration (GCS) projects. Well cement serves as the foremost wellbore integrity barrier, and its durability under GCS has emerged as a hot research topic both at home and abroad. This study systematically reviews the advances in research on the chemical corrosion mechanism of well cement under the operating conditions of GCS, technologies for cement modification for enhanced resistance to CO2 corrosion, and non-Portland cement systems. Furthermore, the directions for the future development of well …

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Numerical Simulation Of Co2 Sequestration Combined With Enhanced Geothermal Energy Extraction In Deep Saline Aquifers, Xie Zehao, Zhang Liehui, Zhao Yulong, Cao Cheng, Kou Zuhao, Zhang Deping, Li Jinlong Jan 2026

Numerical Simulation Of Co2 Sequestration Combined With Enhanced Geothermal Energy Extraction In Deep Saline Aquifers, Xie Zehao, Zhang Liehui, Zhao Yulong, Cao Cheng, Kou Zuhao, Zhang Deping, Li Jinlong

Coal Geology & Exploration

Objectives and Methods Deep saline aquifers represent ideal spaces for geologic CO2 sequestration while also featuring high geothermal gradients and abundant geothermal resources. The combination of CO2 sequestration and geothermal energy extraction holds great significance for enhancing the CO2 sequestration effect and achieving integrated resource development of deep saline aquifers. Therefore, this study proposed a development approach that combined CO2 sequestration with geothermal energy extraction in deep saline aquifers and established a thermo-hydro-chemical coupling numerical simulation model of the gas-water two-phase flow. Accordingly, it explored the optimal injection mode, production and injection well patterns, and injection …

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Numerical Simulations Of The Safety Of Geologic Co2 Storage In Saline Aquifers In The Enping Sag, Pearl River Mouth Basin, Yu Tao, Li Xiwen, Yang Yunshi, Chen Bingbing, Ji Zemin, He Chang, Jiang Lanlan, Song Yongchen Jan 2026

Numerical Simulations Of The Safety Of Geologic Co2 Storage In Saline Aquifers In The Enping Sag, Pearl River Mouth Basin, Yu Tao, Li Xiwen, Yang Yunshi, Chen Bingbing, Ji Zemin, He Chang, Jiang Lanlan, Song Yongchen

Coal Geology & Exploration

Background Since the beginning of the Industrial Revolution, excessive CO2 emissions have aggravated the greenhouse effect. Against this backdrop, CO2 capture, utilization, and storage (CCUS) technology has emerged as a critical countermeasure. Particularly, geologic CO2 storage holds enormous application potential. China has implemented a demonstration project of geologic CO2 storage in saline aquifers located in the Enping Sag, Pearl River Mouth Basin. Nevertheless, this sag exhibits formation dip angles and widely distributed fracture zones, which affect CO2 migration and storage. Methods Focusing on the Enping Sag, this study established a two-dimensional model of the saline …

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Advances And Prospects Of Research On In Situ Co2 Mineralization Storage In Basalts, Wang Xiao, Wu Bin, Shi Xiangchao, Ye Zhongbin, Wei Bing, Wang Guanhua, Alvarado Vladimir, Huang Kailin, Yang Zeyong Jan 2026

Advances And Prospects Of Research On In Situ Co2 Mineralization Storage In Basalts, Wang Xiao, Wu Bin, Shi Xiangchao, Ye Zhongbin, Wei Bing, Wang Guanhua, Alvarado Vladimir, Huang Kailin, Yang Zeyong

Coal Geology & Exploration

Background CO2 storage in basalts, enjoying distinct advantages of rapid mineralization and high safety, has gradually emerged as a hot research topic both in China and abroad. This study presents a systematic review of the current status of research on the mechanisms of in situ CO2 mineralization storage, the evolutionary characteristics of the physical properties of strata under the condition of mineralization reactions, and representative demonstration projects. On this basis, the future research directions are proposed. Advances The in situ CO2 mineralization storage in basalts is essentially a process of CO2-water-rock reactions, achieved primarily through …

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Research Progress And Prospects Of Full Flowsheet Coal-Based Ccus, Sang Shuxun, Liu Shiqi, Zheng Sijian, Huang Fansheng, Liu Tong, Chen Siming, Zhou Xiaozhi, Han Sijie, Tian Yuchen, Xiang Wenxin, Bai Yansong Jan 2026

Research Progress And Prospects Of Full Flowsheet Coal-Based Ccus, Sang Shuxun, Liu Shiqi, Zheng Sijian, Huang Fansheng, Liu Tong, Chen Siming, Zhou Xiaozhi, Han Sijie, Tian Yuchen, Xiang Wenxin, Bai Yansong

Coal Geology & Exploration

Background The engineering-oriented, full flowsheet coal-based carbon capture, utilization, and storage (CCUS) technology is the key to efficient, clean coal utilization and carbon emission reduction. It represents a major technology that is urgently needed to ensure the energy security of China and achieve the strategic goals of peak carbon dioxide emissions and carbon neutrality of the country. Based on previous research efforts of the authors’ team, this study reviews the current status of this technology, reveals its integration mechanisms, and attempts to establish a pattern and scheme for CCUS cluster deployment in coal energy bases. Furthermore, it discusses the future …

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An Experimental Study On Nonlinear Seepage Characteristics In Coal Seams During Ch4 Displacement Through N2 And Co2 Flooding, Li Zefeng, Huang Mengru, Zhang Hongzhong, Lan Jianping, Song Jinsuo, Fan Shixing Jan 2026

An Experimental Study On Nonlinear Seepage Characteristics In Coal Seams During Ch4 Displacement Through N2 And Co2 Flooding, Li Zefeng, Huang Mengru, Zhang Hongzhong, Lan Jianping, Song Jinsuo, Fan Shixing

Coal Geology & Exploration

Background Coal seams in China are generally characterized by low porosity (<5%) and low permeability (0.001×10–3μm2), leading to low coalbed methane (CBM, dominated by CH4) drainage efficiency. Gas flooding-enhanced CBM drainage technology plays a significant role in surface CBM drainage, underground CBM pre-drainage, and deep geologic CO2 storage. Methods This study investigated four common types of gases: N2 and CO2 for flooding, CH4 to be displaced, and He for blank control. Based on the physical properties of these gases and employing methods including the quasi-static method, the gas flow rate method, and the Reynolds …

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Table Of Contents, The Editors Jan 2026

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

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Agentic Intelligence Under Constraint: Energy, Context, And The Expansion Of Exchange, Nick Loghmani Jan 2026

Agentic Intelligence Under Constraint: Energy, Context, And The Expansion Of Exchange, Nick Loghmani

iSchool - All Scholarship

Recent advances in agentic artificial intelligence have been driven primarily by scale: larger models, increased data, and expanding computational resources. However, rising energy costs, inference latency, and hardware constraints increasingly challenge this trajectory. This paper argues that intelligence—biological or artificial—does not primarily scale through raw computational expansion, but through the management of exchange under constraint. Drawing on cognitive science, systems theory, and prior work on exchange-based models of intelligence, the paper proposes a theoretical framework in which agentic intelligence scales through context management, proceduralization, and the assembly of reusable units of exchange. Unlike approaches that focus solely on model compression …

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Numerical Simulations Of The Impacts Of Co2-Induced Calcite Dissolution On The Permeability And Elastic Parameters Of Rocks, Yang Bo, Xu Tianfu, Feng Guanhong, Zhu Huixing Jan 2026

Numerical Simulations Of The Impacts Of Co2-Induced Calcite Dissolution On The Permeability And Elastic Parameters Of Rocks, Yang Bo, Xu Tianfu, Feng Guanhong, Zhu Huixing

Coal Geology & Exploration

Objective CO2 dissolution in water tends to induce mineral reactions, thus significantly changing the pore structure of rocks and further affecting their seepage and mechanical properties. This phenomenon poses a major impact on the suitability and long-term safety of geologic CO2 sequestration engineering. Methods Using a simulation technology that combines the lattice Boltzmann method (LBM) and the finite element method (FEM), this study systematically investigated the calcite dissolution characteristics of calcite-bearing rock samples under varying injection rates of a saturated solution of CO2. Furthermore, the dynamic evolution patterns of the permeability and elastic parameters (bulk and …

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