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Density Functional Theory [[electronic resource] ] : Modeling, Mathematical Analysis, Computational Methods, and Applications / / edited by Eric Cancès, Gero Friesecke
| Density Functional Theory [[electronic resource] ] : Modeling, Mathematical Analysis, Computational Methods, and Applications / / edited by Eric Cancès, Gero Friesecke |
| Autore | Cancès Eric |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (595 pages) |
| Disciplina | 510 |
| Altri autori (Persone) | FrieseckeGero |
| Collana | Mathematics and Molecular Modeling |
| Soggetto topico |
Mathematics
Condensed matter Atoms Molecules Quantum chemistry Electronics - Materials Materials science - Data processing Condensed Matter Physics Atomic, Molecular and Chemical Physics Quantum Chemistry Electronic Materials Computational Materials Science |
| ISBN | 3-031-22340-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Review of approximations for the exchange-correlation energy in density-functional theory -- Chapter 2. On connecting density functional approximations to theory -- Chapter 3. Universal functionals in density functional theory -- Chapter 4. The strong-interaction limit of density functional theory -- Chapter 5. Moreau–Yosida regularization in DFT -- Chapter 6. Thermodynamic limits of electronic systems -- Chapter 7. Numerical methods for Kohn–Sham models: discretization, algorithms, and error analysis -- Chapter 8. Recent progress in evaluating the Kohn–Sham map -- Chapter 9. Augmented plane wave methods for full-potential calculations -- Chapter 10. Finite Element Methods for Density Functional Theory -- Chapter 11. Flexibilities of wavelets as a computational basis set for large-scale electronic structure calculations -- Chapter 12. Accurate approximations of density functional theory for large systems with applications to defects in crystalline solids -- Glossary -- Notation. |
| Record Nr. | UNINA-9910735774803321 |
Cancès Eric
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperordered Structures in Materials [[electronic resource] ] : Disorder in Order and Order within Disorder / / edited by Koichi Hayashi
| Hyperordered Structures in Materials [[electronic resource] ] : Disorder in Order and Order within Disorder / / edited by Koichi Hayashi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (458 pages) |
| Disciplina | 620.144 |
| Collana | The Materials Research Society Series |
| Soggetto topico |
Glass
Materials - Analysis Crystallography Materials science - Data processing Topological insulators Condensed matter Materials Characterization Technique Crystallography and Scattering Methods Computational Materials Science Topological Material Structure of Condensed Matter |
| ISBN | 981-9952-35-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From point defects to defect complexes -- Topological order and hyperorder in oxide glasses and liquids -- Atomic-resolution holography -- X-ray and neutron pair distribution function analysis -- Angstrom-beam electron diffraction technique for amorphous materials -- Dynamics -- Property measurements of molten oxides at high temperature using containerless methods -- Density functional theory calculations for materials with complex structures -- Molecular dynamics -- Reverse Monte Carlo modeling of noncrystalline and crystalline materials -- Structural-order analysis based on applied mathematics -- Machine learning -- Dielectric Materials with Hyperordered Structures -- Hyperordered Structures in Microporous Frameworks in Zeolites -- Glasses with hyperordered structures -- Biological materials -- Battery and fuel cell materials with hyperordered structures -- Superconductors with hyperordered structures -- Ordered and disordered metal oxide for biomass conversion. |
| Record Nr. | UNINA-9910760294103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Structural Materials [[electronic resource] ] : Reducing Weight of Transportation Equipment / / edited by Teruo Kishi
| Innovative Structural Materials [[electronic resource] ] : Reducing Weight of Transportation Equipment / / edited by Teruo Kishi |
| Autore | Kishi Teruo <1939-> |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (381 pages) |
| Disciplina | 629.04 |
| Collana | Springer Series in Materials Science |
| Soggetto topico |
Building materials
Vehicles Materials science—Data processing Materials—Analysis Refuse and refuse disposal Structural Materials Vehicle Engineering Computational Materials Science Materials Characterization Technique Waste Management/Waste Technology |
| ISBN | 981-9935-22-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Materials Development -- 2. Materials Integration -- 3. Joining/Adhesion Technology -- 4. Analysis/Evaluation Technology -- 5. Structural design technology -- 6. Prototyping of Multi-Material Parts -- 7. Recycling and Life Cycle Assessment (LCA) -- 8. Conclusion. |
| Record Nr. | UNINA-9910736012703321 |
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Kishi Teruo <1939->
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intrinsic Structures and Properties of Energetic Materials [[electronic resource] /] / by Chaoyang Zhang, Jing Huang, Rupeng Bu
| Intrinsic Structures and Properties of Energetic Materials [[electronic resource] /] / by Chaoyang Zhang, Jing Huang, Rupeng Bu |
| Autore | Zhang Chaoyang |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (469 pages) |
| Disciplina | 530.411 |
| Altri autori (Persone) |
HuangJing
BuRupeng |
| Soggetto topico |
Condensed matter
Atomic structure Molecular structure Materials science—Data processing Surfaces (Physics) Structure of Condensed Matter Atomic and Molecular Structure and Properties Computational Materials Science Surface and Interface and Thin Film |
| ISBN | 981-9926-99-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Classification of Energetic Crystals -- Application of molecular simulation methods in treating intrinsic structures of energetic materials -- Energetic molecules & single-component energetic molecular crystals -- Polymorphism and polymorphic transition in energetic molecular crystals -- Energetic ionic crystals -- Energetic cocrstals -- Energetic atomic crystals, energetic metallic crystals & energetic mixed-type crystals -- Hydrogen bonding, hydrogen transfer and halogen bonding -- π-stacking in energetic crystals -- Crystal engineering for creating low sensitive and highly energetic materials. . |
| Record Nr. | UNINA-9910734884503321 |
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Zhang Chaoyang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Lectures Notes on Advanced Structured Materials 2 [[electronic resource] /] / edited by Holm Altenbach, Leonhard Hitzler, Michael Johlitz, Markus Merkel, Andreas Öchsner
| Lectures Notes on Advanced Structured Materials 2 [[electronic resource] /] / edited by Holm Altenbach, Leonhard Hitzler, Michael Johlitz, Markus Merkel, Andreas Öchsner |
| Autore | Altenbach Holm |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (424 pages) |
| Disciplina | 531.7 |
| Altri autori (Persone) |
HitzlerLeonhard
JohlitzMichael MerkelMarkus ÖchsnerAndreas |
| Collana | Advanced Structured Materials |
| Soggetto topico |
Continuum mechanics
Mechanics, Applied Solids Materials science - Data processing Continuum Mechanics Solid Mechanics Computational Materials Science |
| ISBN | 3-031-49043-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part A: Postgraduate Lectures -- Berta Pi Savall: Experimental Analysis of Strain and Thermal Behaviour on 3D-Printed Flexible Auxetic Structures -- Caroline Treib: Crack Evaluation of Ozone-Aged Elastomers -- Dominik Hahne: Selective Laser Sintered Pipe Specimen Under Torsional Load: Experimental Investigations and Material Modelling -- Johannes Rottler: The Importance of Heat Conduction and Global Temperature Fields in the Laser Powder Bed Fusion Process -- Julian Klingenbeck: Investigation of the Anisotropic Mechanical Behaviour of Short Carbon Fibre Reinforced Polyamide 6 Fabricated via Fused Filament Fabrication -- Enes Sert: Determination of the Fatigue Behaviour of Laser Powder-Bed Fused AlSi10Mg Specimens using Surface and Heat Treatments -- Yvonne Breitmoser: Sorption of Fuels in Additively Manufactured Thermoplastic Polyurethanes -- Stefan Brenner: Distortion Compensation of Thin-Walled Parts by Pre-Deformation in Powder Bed Fusion with Laser Beam -- Jens Kortsch-Banzhaf: Investigation of the Thermophysical Properties of Porous Steel Components made by Selective Laser Melting -- Johannes Schmid: Analysis of the Heating Behavior and the Strength of Hot Gas Welded Polyamides with 3D Contours Using an Immersing Nozzle System -- Julius Cronau: Simulation of Lattice Structures with Johnson Cook Material and Damage Model -- Lea Strauß: Effect of Residual Stress, Surface Roughness and Porosity on Fatigue Life of PBF-LB AlSi10Mg -- Michael Ascher: Elastoplastic Characterization of a Two-Component Epoxy-Based Structural Adhesive -- Lucas Schraa: Simulation of Infrared Welded Short Fiber Reinforced Thermoplastic Parts based on Mori-Tanaka Homogenization Method -- Maha Zaghdoudi: Analysis of Heterogeneous Ageing of HNBR O-Rings -- Ondrej Farkas: On the Characterisation and Modelling of the NR-BR Blend Under Harmonic Excitation Considering Self-Heating Effect -- Philippe du Maire: Thermal Katharina Knape: On theWays to Numerically Implement the Two-Time-Scale Approach -- MirnaOsama: Development of Site Calibration Set for Prefixed Wall Transmitters of Environmental Monitoring Systems in Regulated Industries -- Part B: Overview Lectures -- Holm Altenbach: Continuum Mechanics – Material Independent and Dependent Equations -- Andreas Öchsner: Mechanical Behavior of Classical Sandwich Beams -- Leonhard Hitzler: Classical Solidification Structures in Single-Step Metal Additive Manufacturing -- Markus Merkel: Additive Manufacturing as a Key Driver in the Mobility of Tomorrow. |
| Record Nr. | UNINA-9910845094303321 |
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Altenbach Holm
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Applied to Composite Materials [[electronic resource] /] / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin
| Machine Learning Applied to Composite Materials [[electronic resource] /] / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (202 pages) |
| Disciplina | 006.31 |
| Collana | Composites Science and Technology |
| Soggetto topico |
Composite materials
Machine learning Computational intelligence Materials science - Data processing Composites Machine Learning Computational Intelligence Computational Materials Science Materials compostos Simulació per ordinador Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6278-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Importance of machine learning in material science -- Machine Learning: A methodology to explain and predict material behavior -- Effect of aspect ratio on dynamic fracture toughness of particulate polymer composite using artificial neural network -- Methodology of K-Nearest Neighbor for predicting the fracture toughness of polymer composites -- Forward machine learning technique to predict dynamic fracture behavior of particulate composite -- Predictive modelling of fracture behavior in silica-filled polymer composite subjected to impact with varying loading rates -- Machine learning approach to determine the elastic modulus of Carbon fiber-reinforced laminates -- Effect of weight ratio on mechanical behaviour of natural fiber based biocomposite using machine learning -- Effect of natural fiber’s mechanical properties and fiber matrix adhesion strength to design biocomposite -- Comparison of various machine learning algorithms to predict material behavior in GFRP. |
| Record Nr. | UNINA-9910633937803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Applied to Composite Materials [[electronic resource] /] / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin
| Machine Learning Applied to Composite Materials [[electronic resource] /] / edited by Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (202 pages) |
| Disciplina | 006.31 |
| Collana | Composites Science and Technology |
| Soggetto topico |
Composite materials
Machine learning Computational intelligence Materials science - Data processing Composites Machine Learning Computational Intelligence Computational Materials Science Materials compostos Simulació per ordinador Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6278-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Importance of machine learning in material science -- Machine Learning: A methodology to explain and predict material behavior -- Effect of aspect ratio on dynamic fracture toughness of particulate polymer composite using artificial neural network -- Methodology of K-Nearest Neighbor for predicting the fracture toughness of polymer composites -- Forward machine learning technique to predict dynamic fracture behavior of particulate composite -- Predictive modelling of fracture behavior in silica-filled polymer composite subjected to impact with varying loading rates -- Machine learning approach to determine the elastic modulus of Carbon fiber-reinforced laminates -- Effect of weight ratio on mechanical behaviour of natural fiber based biocomposite using machine learning -- Effect of natural fiber’s mechanical properties and fiber matrix adhesion strength to design biocomposite -- Comparison of various machine learning algorithms to predict material behavior in GFRP. |
| Record Nr. | UNISA-996499867603316 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Magnetoelectronic, Optical, and Thermoelectric Properties of Perovskite Materials [[electronic resource] /] / by Rachid Masrour
| Magnetoelectronic, Optical, and Thermoelectric Properties of Perovskite Materials [[electronic resource] /] / by Rachid Masrour |
| Autore | Masrour Rachid |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (128 pages) |
| Disciplina | 620.198 |
| Collana | SpringerBriefs in Materials |
| Soggetto topico |
Perovskite
Materials science - Data processing Materials - Analysis Density functionals Mathematical physics Computer simulation Perovskites Computational Materials Science Materials Characterization Technique Density Functional Theory Computational Physics and Simulations |
| ISBN | 3-031-48967-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Calculation methods: Monte Carlo Simulation and Ab Initio Calculations -- Magnetocaloric Effect, Electronic and Magnetic Properties in Manganite Perovskites -- Study of Magnetocaloric Effect, Electronic and Magnetic Properties of Ferrite Perovskites -- Magnetic and Magnetocaloric, Electronic, Magneto-optical, and Thermoelectric Properties of Perovskite Chromites -- Magnetic Properties and Magnetocaloric in Double Perovskite Oxides -- Magnetocaloric and Magnetic Properties of Bilayer Manganite -- Magnetocaloric Properties of Surface Effects in Perovskites Ferromagnetic Thin Films -- Effect of Magnetic Field on the Magnetocaloric and Magnetic Properties of Orthoferrites Perovskite. |
| Record Nr. | UNINA-9910767522103321 |
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Masrour Rachid
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Magnonic Devices [[electronic resource] ] : Numerical Modelling and Micromagnetic Simulation Approach / / by C. S. Nikhil Kumar
| Magnonic Devices [[electronic resource] ] : Numerical Modelling and Micromagnetic Simulation Approach / / by C. S. Nikhil Kumar |
| Autore | Nikhil Kumar C. S. |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (89 pages) |
| Disciplina | 530.41 |
| Collana | SpringerBriefs in Materials |
| Soggetto topico |
Magnetism
Spintronics Nanoelectromechanical systems Materials science—Data processing Solid state physics Nanoscale Devices Computational Materials Science Electronic Devices |
| ISBN |
9783031226656
9783031226649 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Backward Volume Spin Waves in a Rectangular Geometry -- Magnetostatic Waves in Magnonic Crystals: A PWM Approach -- Field Localization in Striped Magnonic Crystal Waveguide -- Walkers Solution for Curved Magnonic Waveguide and Resonant Modes in Magnonic Ring -- Nano-contact Driven Spin Wave Excitations in Magnonic Cavity -- Magnetic Field Feedback Oscillator: A Micromagnetic Study. |
| Record Nr. | UNINA-9910647394303321 |
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Nikhil Kumar C. S.
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mechanics and Geometry of Enriched Continua [[electronic resource] /] / by Luis Espath
| Mechanics and Geometry of Enriched Continua [[electronic resource] /] / by Luis Espath |
| Autore | Espath Luis |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (161 pages) |
| Disciplina | 531.7 |
| Soggetto topico |
Continuum mechanics
Mathematical physics Computer simulation Thermodynamics Materials science—Data processing Optical materials Continuum Mechanics Computational Physics and Simulations Computational Materials Science Optical Materials |
| ISBN | 3-031-28934-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Integro-differential machinery -- Power balance, fields and hyperfields -- Complementary balances, jump conditions and couple fields -- Thermodynamics -- Coupling -- Environmental surface balances and imbalances -- Boundary conditions -- Final remarks. |
| Record Nr. | UNINA-9910734842203321 |
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Espath Luis
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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