Items related to AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION
Synopsis
Artificial Intelligence (AI) has revolutionized numerous fields, including material science, by enabling faster discovery, enhanced performance evaluation, and optimized material utilization. The construction industry, a critical sector responsible for global infrastructure, is experiencing a paradigm shift as AI-driven material science emerges as a cornerstone for sustainable development. The integration of AI in material science facilitates the design of innovative, eco-friendly materials that enhance durability, efficiency, and environmental sustainability.The traditional approach to material discovery often involves extensive trial-and-error experiments, which can be time-consuming and resource-intensive. AI, with its computational power and advanced algorithms, streamlines this process by predicting material properties, optimizing compositions, and identifying sustainable alternatives. Machine learning models, neural networks, and deep learning techniques enable researchers to analyze vast datasets, recognizing complex patterns that would be difficult to discern through conventional methods.
"synopsis" may belong to another edition of this title.
Search results for AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION
Stock Image
AI Driven Material Science for Sustainable Construction
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
PAP
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786208441982
Buy New
£ 59.18
£ 3.29 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
AI Driven Material Science for Sustainable Construction
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
PAP
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786208441982
Stock Image
AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Softcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # I-9786208441982
Stock Image
AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION
Published by
Omniscriptum, LAP Lambert Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence (AI) has revolutionized numerous fields, including material science, by enabling faster discovery, enhanced performance evaluation, and optimized material utilization. The construction industry, a critical sector responsible for global infrastructure, is experiencing a paradigm shift as AI-driven material science emerges as a cornerstone for sustainable development. The integration of AI in material science facilitates the design of innovative, eco-friendly materials that enhance durability, efficiency, and environmental sustainability.The traditional approach to material discovery often involves extensive trial-and-error experiments, which can be time-consuming and resource-intensive. AI, with its computational power and advanced algorithms, streamlines this process by predicting material properties, optimizing compositions, and identifying sustainable alternatives. Machine learning models, neural networks, and deep learning techniques enable researchers to analyze vast datasets, recognizing complex patterns that would be difficult to discern through conventional methods. 136 pp. Englisch. Seller Inventory # 9786208441982
Seller Image
AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION | Vishnuvardhan S (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208441982 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 133336054
Seller Image
AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION
Published by
LAP LAMBERT Academic Publishing Apr 2025, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence (AI) has revolutionized numerous fields, including material science, by enabling faster discovery, enhanced performance evaluation, and optimized material utilization. The construction industry, a critical sector responsible for global infrastructure, is experiencing a paradigm shift as AI-driven material science emerges as a cornerstone for sustainable development. The integration of AI in material science facilitates the design of innovative, eco-friendly materials that enhance durability, efficiency, and environmental sustainability.The traditional approach to material discovery often involves extensive trial-and-error experiments, which can be time-consuming and resource-intensive. AI, with its computational power and advanced algorithms, streamlines this process by predicting material properties, optimizing compositions, and identifying sustainable alternatives. Machine learning models, neural networks, and deep learning techniques enable researchers to analyze vast datasets, recognizing complex patterns that would be difficult to discern through conventional methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Seller Inventory # 9786208441982
Stock Image
AI Driven Material Science for Sustainable Construction
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 409805175
Buy New
£ 107.94
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Stock Image
AI Driven Material Science for Sustainable Construction
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 26404397736
Stock Image
AI Driven Material Science for Sustainable Construction
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404397730
Seller Image
AI DRIVEN MATERIAL SCIENCE FOR SUSTAINABLE CONSTRUCTION
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208441986
ISBN 13: 9786208441982
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence (AI) has revolutionized numerous fields, including material science, by enabling faster discovery, enhanced performance evaluation, and optimized material utilization. The construction industry, a critical sector responsible for global infrastructure, is experiencing a paradigm shift as AI-driven material science emerges as a cornerstone for sustainable development. The integration of AI in material science facilitates the design of innovative, eco-friendly materials that enhance durability, efficiency, and environmental sustainability.The traditional approach to material discovery often involves extensive trial-and-error experiments, which can be time-consuming and resource-intensive. AI, with its computational power and advanced algorithms, streamlines this process by predicting material properties, optimizing compositions, and identifying sustainable alternatives. Machine learning models, neural networks, and deep learning techniques enable researchers to analyze vast datasets, recognizing complex patterns that would be difficult to discern through conventional methods. Seller Inventory # 9786208441982