Springer Theses
Walter
Fachbuch2025SpringerISBN 978-3-031-50933-9
Favalli
On the Emergence of Time and Space in Closed Quantum Systems
On the Emergence of Time and Space in Closed Quantum Systems
Fachbuch2025SpringerISBN 978-3-031-52354-0
Fachbuch2025SpringerISBN 978-3-031-49123-8
Gravity, Amplitudes, and Flat Space Holography
Fachbuch2025SpringerISBN 978-3-031-50753-3
Fachbuch2025SpringerISBN 978-3-031-74178-4
Generation via Strong-Field Processes and Applications in Quantum Key Distribution
Fachbuch2025SpringerISBN 978-3-031-73768-8
Cuomo
Architectures and Circuits for Distributed Quantum Computing
Architectures and Circuits for Distributed Quantum Computing
Fachbuch2025SpringerISBN 978-3-031-73807-4
Stamatopoulou
Strong Light–Matter Interactions in Extreme Plasmonic and Mie-Resonant Systems
Strong Light–Matter Interactions in Extreme Plasmonic and Mie-Resonant Systems
Fachbuch2025SpringerISBN 978-3-031-67906-3
From Weak to Strong Coupling
Fachbuch2025SpringerISBN 978-3-031-71347-7
Akpinar
Fachbuch2024SpringerISBN 978-3-031-78364-7
Fachbuch2025SpringerISBN 9789819605507
Harimoto
Design, Synthesis, and Properties of Redox-Active Bisquinodimethanes
Design, Synthesis, and Properties of Redox-Active Bisquinodimethanes
Fachbuch2025SpringerISBN 9789819615902
Arisawa
A Study on Spin Mechanics Phenomena in Spin-Lattice Coupled Systems
A Study on Spin Mechanics Phenomena in Spin-Lattice Coupled Systems
Fachbuch2025SpringerISBN 9789819786411
Fachbuch2024SpringerISBN 978-3-031-76116-4
Srivastav
Fachbuch2024SpringerISBN 978-3-031-67050-3
Aldoroty
Properties of the Color-Magnitude Diagrams of Type Ia Supernovae
Properties of the Color-Magnitude Diagrams of Type Ia Supernovae
Fachbuch2024SpringerISBN 978-3-031-72446-6
Álvarez Pérez
Fundamentals of Nano-Optics in Hyperbolic van der Waals Materials
Fundamentals of Nano-Optics in Hyperbolic van der Waals Materials
Fachbuch2024SpringerISBN 978-3-031-75766-2
Brownian Motion as Both Signal and Noise
Fachbuch2024SpringerISBN 978-3-031-44334-3
Fachbuch2025SpringerISBN 9789819613007
Sutton
Domain Generalization with Machine Learning in the NOvA Experiment
Domain Generalization with Machine Learning in the NOvA Experiment
Fachbuch2024SpringerISBN 978-3-031-43585-0