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Quantum Material Discovery: The New Era of Room-Temperature Superconductivity -II: Navigating the Combinatorial Explosion through Quantum Annealing, High-Pressure Physics, and Hybrid Machine Learning - Couverture souple
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Synopsis
Quantum Material Discovery
Volume II:AI-Guided Discovery, Validation, and Room-Temperature Superconductors
Scientific discovery is entering a new era—one where artificial intelligence, computational physics, and intelligent optimization work together to accelerate the search for materials that could redefine modern technology.
Quantum Material Discovery – Volume II transforms the scientific foundations established in Volume I into a complete computational discovery workflow. From Bayesian optimization and active learning to phonon stability, convex hull analysis, synthesizability, and AI-guided candidate selection, this volume demonstrates how modern computational methods dramatically reduce the search space for next-generation quantum materials.
Through real-world case studies, computational validation strategies, and an integrated discovery pipeline, readers gain practical insight into how machine learning, first-principles simulation, and quantum-inspired optimization can be combined to identify promising superconducting materials for future experimental investigation.
Designed for graduate students, researchers, computational physicists, materials scientists, AI practitioners, and engineers, this volume presents a rigorous roadmap for one of the fastest-growing frontiers in scientific computing: AI-driven quantum materials discovery.
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Quantum Material Discovery (Paperback)
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Paperback. Etat : new. Paperback. Quantum Material DiscoveryVolume II: AI-Guided Discovery, Validation, and Room-Temperature SuperconductorsScientific discovery is entering a new era-one where artificial intelligence, computational physics, and intelligent optimization work together to accelerate the search for materials that could redefine modern technology.Quantum Material Discovery - Volume II transforms the scientific foundations established in Volume I into a complete computational discovery workflow. From Bayesian optimization and active learning to phonon stability, convex hull analysis, synthesizability, and AI-guided candidate selection, this volume demonstrates how modern computational methods dramatically reduce the search space for next-generation quantum materials.Through real-world case studies, computational validation strategies, and an integrated discovery pipeline, readers gain practical insight into how machine learning, first-principles simulation, and quantum-inspired optimization can be combined to identify promising superconducting materials for future experimental investigation.Designed for graduate students, researchers, computational physicists, materials scientists, AI practitioners, and engineers, this volume presents a rigorous roadmap for one of the fastest-growing frontiers in scientific computing: AI-driven quantum materials discovery. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798185208892
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Quantum Material Discovery: The New Era of Room-Temperature Superconductivity -II: Navigating the Combinatorial Explosion through Quantum Annealing, ... Quantum Materials Discovery Series)
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Quantum Material Discovery
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Quantum Material Discovery (Paperback)
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Paperback. Etat : new. Paperback. Quantum Material DiscoveryVolume II: AI-Guided Discovery, Validation, and Room-Temperature SuperconductorsScientific discovery is entering a new era-one where artificial intelligence, computational physics, and intelligent optimization work together to accelerate the search for materials that could redefine modern technology.Quantum Material Discovery - Volume II transforms the scientific foundations established in Volume I into a complete computational discovery workflow. From Bayesian optimization and active learning to phonon stability, convex hull analysis, synthesizability, and AI-guided candidate selection, this volume demonstrates how modern computational methods dramatically reduce the search space for next-generation quantum materials.Through real-world case studies, computational validation strategies, and an integrated discovery pipeline, readers gain practical insight into how machine learning, first-principles simulation, and quantum-inspired optimization can be combined to identify promising superconducting materials for future experimental investigation.Designed for graduate students, researchers, computational physicists, materials scientists, AI practitioners, and engineers, this volume presents a rigorous roadmap for one of the fastest-growing frontiers in scientific computing: AI-driven quantum materials discovery. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798185208892
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Quantum Material Discovery : The New Era of Room-Temperature Superconductivity -II: Navigating the Combinatorial Explosion through Quantum Annealing, High-Pressure Physics, and Hybrid Machine Learning
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