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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, Band 2) - Softcover
Buch 2 von 2: AI-Driven Quantum Materials Discovery Series
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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: The New Era of Room-Temperature Superconductivity -II: Navigating the Combinatorial Explosion through Quantum Annealing, ... Quantum Materials Discovery Series)
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9798185208892
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 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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