Advances and Applications of Machine Learning in Fluid Flow Problems
暫譯: 流動問題中機器學習的進展與應用
El-Amin, Mohamed
- 出版商: CRC
- 出版日期: 2026-03-31
- 售價: $5,030
- 貴賓價: 9.5 折 $4,778
- 語言: 英文
- 頁數: 290
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032747390
- ISBN-13: 9781032747392
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相關分類:
Machine Learning
尚未上市，無法訂購
相關主題
商品描述
The rapid growth of machine learning in recent years has made it a popular tool for data analysis, modeling, and predictions. As more data is generated from fluid flow simulations and experiments, the use of machine learning algorithms has become essential in making sense of it all. Advances and Applications of Machine Learning in Fluid Flow Problems provides insight into the effective use of machine learning in fluid flow and its potential impact on the field. It examines the application of machine learning techniques in various fluid flow problems, including but not limited to turbulent flow, multiphase flow, complex geometries, flow control, turbulence modeling, particle-fluid interactions, numerical simulations, data-driven modeling, flow in porous media, oil/gas reservoir simulation, permeability prediction, and more. It serves as a useful tool for a wide range of readers in the professional, industrial, and academic sectors.
- Covers both the theories and practical applications of machine learning in fluid flow problems, making the book a unique and valuable resource for professionals and researchers in the field.
- Provides a comprehensive examination of the application of machine learning for all aspects of fluid flow problems.
商品描述(中文翻譯)
機器學習在近幾年的快速成長，使其成為數據分析、建模和預測的熱門工具。隨著流體流動模擬和實驗產生的數據不斷增加，使用機器學習演算法已成為理解這些數據的必要手段。《流體流動問題中的機器學習進展與應用》提供了機器學習在流體流動中的有效使用及其對該領域潛在影響的見解。它探討了機器學習技術在各種流體流動問題中的應用，包括但不限於湍流、多相流、複雜幾何、流動控制、湍流建模、粒子-流體互動、數值模擬、數據驅動建模、孔隙介質中的流動、油氣儲層模擬、滲透率預測等。這本書對於專業、工業和學術界的廣泛讀者來說，都是一個有用的工具。
- 涵蓋了機器學習在流體流動問題中的理論和實際應用，使本書成為該領域專業人士和研究者的獨特且有價值的資源。
- 提供了對機器學習在流體流動問題各個方面應用的全面檢視。
作者簡介
Prof. Mohamed Fathy El-Amin Mousa is a distinguished full professor of applied mathematics and computational sciences at Effat University, Saudi Arabia, and Aswan University, Egypt. With a career spanning more than 25 years, Dr. El-Amin has established a global reputation for pioneering contributions in computational modeling, fluid dynamics, reservoir simulation, porous media transport, heat and mass transfer, hydrogen energy, and renewable energy technologies.
He earned his Ph.D. in Applied Mathematics. His postdoctoral journey included prestigious fellowships from the Alexander von Humboldt Foundation in Germany and the Japan Society for the Promotion of Science (JSPS) in Japan, as well as research appointments at renowned institutions such as Stuttgart University, Kyushu University, King Abdullah University of Science and Technology (KAUST), and the University of Texas at Austin.
Dr. El-Amin has published over 200 peer-reviewed articles, book chapters, and conference papers, alongside several edited volumes and special journal issues. His recent authored books, including Numerical Modeling of Nanoparticle Transport in Porous Media (Elsevier, 2023) and Fractional Modeling of Fluid Flow and Transport Phenomena (Elsevier, 2025), reflect his leadership in bridging mathematical theory with practical energy and environmental challenges.
Currently, Dr. El-Amin leads research projects on atmospheric water generation using desiccant materials and underground hydrogen storage, aiming to support sustainable energy and water security initiatives. His research innovations have led to patents and new prototype developments, particularly involving carbon nanotubes and graphene-based technologies.
An active member of several international scientific societies, including INTERPORE and the Society of Petroleum Engineers (SPE), Dr. El-Amin has been consistently recognized among the World's Top 2% Scientists by Stanford University rankings. His contributions have earned him multiple awards for excellence in research, teaching, and civic engagement.
Beyond research, Dr. El-Amin is deeply committed to mentoring graduate students, supervising numerous MSc and Ph.D. theses, and actively participating in university leadership roles, including chairing promotion and research committees. His philosophy emphasizes interdisciplinary collaboration and the real-world application of scientific knowledge to meet the global challenges of energy, water, and sustainability.
作者簡介(中文翻譯)
穆罕默德·法提·艾爾阿敏·穆薩教授是沙烏地阿拉伯艾法特大學及埃及阿斯旺大學的應用數學與計算科學全職教授。艾爾阿敏博士擁有超過25年的職業生涯，因其在計算建模、流體力學、油藏模擬、多孔介質傳輸、熱質傳遞、氫能及可再生能源技術方面的開創性貢獻而享有全球聲譽。
他獲得了應用數學的博士學位。其博士後生涯包括德國亞歷山大·馮·洪堡基金會及日本科學促進會（JSPS）的著名獎學金，並在斯圖加特大學、九州大學、阿卜杜拉國王科技大學（KAUST）及德克薩斯大學奧斯汀分校等知名機構擔任研究職位。
艾爾阿敏博士已發表超過200篇經過同行評審的文章、書籍章節及會議論文，並編輯了多部專著及特刊。他最近的著作，包括多孔介質中納米粒子傳輸的數值建模（Elsevier, 2023）及流體流動與傳輸現象的分數建模（Elsevier, 2025），反映了他在將數學理論與實際能源及環境挑戰之間架起橋樑的領導地位。
目前，艾爾阿敏博士正在領導關於使用乾燥劑材料進行大氣水生成及地下氫儲存的研究項目，旨在支持可持續能源及水資源安全的倡議。他的研究創新已導致專利及新原型的開發，特別涉及碳納米管及基於石墨烯的技術。
作為多個國際科學學會的活躍成員，包括INTERPORE及石油工程師學會（SPE），艾爾阿敏博士在史丹佛大學的排名中持續被認可為全球前2%的科學家。他的貢獻為他贏得了多項研究、教學及公民參與的卓越獎項。
除了研究，艾爾阿敏博士還深度致力於指導研究生，監督多篇碩士及博士論文，並積極參與大學領導角色，包括擔任晉升及研究委員會的主席。他的理念強調跨學科合作及科學知識在應對全球能源、水資源及可持續性挑戰中的實際應用。
