Artificial photosynthesis [[electronic resource] ] : from basic biology to industrial application / / edited by Anthony F. Collings and Christa Critchley

• Record Nr.: UNINA9910143963603321
• Pubbl/distr/stampa: Weinheim, : Wiley-VCH; [Chichester, : John Wiley, distributor], c2005
• ISBN: 1-281-08788-2; 9786611087883; 3-527-60674-2; 3-527-60691-2
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (341 p.)
• Altri autori (Persone): CollingsAnthony F; CritchleyChrista
• Disciplina: 660.6
• Soggetti: Biotechnology; Photosynthesis - Industrial applications; Photosynthesis; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Artificial Photosynthesis; Foreword; Preface; Contents; List of Contributors; Part I The Context; 1 Artificial Photosynthesis: Social and Political Issues; 1.1 Introduction; 1.2 The Need for a Transition to Artificial Photosynthesis; 1.3 Some Associated Social and Political Issues; 1.4 Using the Available Photons: Towards Sustainability Science; 1.5 Conclusions; References; 2 An Integrated Artificial Photosynthesis Model; 2.1 Introduction; 2.2 Natural Photosynthesis; 2.3 Artificial Photosynthesis: An Integrated Strategy; 2.4 A Technological Approach to Photosynthesis; 2.5 Program 1: Biomimetic Photoelectric Generation2.5.1 Milestones; 2.6 Program 2: Electrolytic Hydrogen; 2.6.1 Milestones; 2.7 Programs 3 and 4: Waterless Agriculture; 2.7.1 Program 3: Bioenergetic Converters; 2.7.1.1 Milestones; 2.7.2 Program 4: The CO(2)-fixing Enzyme Reactor; 2.7.2.1 Milestones; 2.8 Conclusions; References; Part II Capturing ; Sunlight; 3 Broadband Photon-harvesting Biomolecules for Photovoltaics; 3.1 Introduction; 3.2 The Photoelectrochemical Grätzel Cell (Dye-sensitized Solar Cell); 3.3 Typical Components and Performance of a DSSC; 3.3.1 Construction and Mode of Operation; 3.3.2 Typical DSSC Performance3.3.3 Device Limitations; 3.4 Melanins as Broadband Sensitizers for DSSCs; 3.4.1 Melanin Basics; 3.4.2 Melanin Chemical, Structural, and Spectroscopic Properties; 3.4.3 Melanin Electrical and Photoconductive Properties; 3.4.4 Melanins as Broadband Photon-harvesting Systems; 3.4.5 A DSSC Based Upon Synthetic Eumelanin; 3.5 Conclusions; References; 4 The Design of Natural Photosynthetic Antenna Systems; 4.1 Introduction; 4.2 Confined Geometries: From Weak to Strong Coupling and Everything in Between; 4.2.1 Conventional Förster Theory: B800 to B800 Intra-band Energy Transfer4.2.2 Generalized Förster Theory: B800 to B850 Inter-band Energy Transfer; 4.2.3 Generalized Förster Theory with the Transition Density Cube Method: Car to Bchl Inter-pigment Energy Transfer; 4.2.4 Modified Redfield Theory: Intra-band B850 Exciton Dynamics; 4.3 Energetic Disorder Within Light-harvesting Complexes; 4.3.1 From Isolated Complexes to Membranes: Disorder in LH2; 4.3.2 Photosystem I; 4.4 Photochemistry and Photoprotection in the Bacterial Reaction Center; 4.5 The Regulation of Photosynthetic Light Harvesting; 4.6 Concluding RemarksReferences; 5 Identifying Redox-active Chromophores in Photosystem II by Low-temperature Optical Spectroscopies; 5.1 Introduction; 5.2 Experimental Methods; 5.2.1 Sample Preparation; 5.2.2 Illumination; 5.2.3 Spectra; 5.3 Results and Discussion; 5.3.1 Absorption and CD Signatures: Plant PSII Cores and BBYs; 5.3.2 Absorption and CD Signatures: Plant and Cyanobacterial PSII Cores; 5.3.3 Absorption Signatures: The Native and Solubilized Reaction Center; 5.3.4 MCD Signatures: P680 and Chl(Z); 5.3.5 Electrochromic Signature: Pheo(D1) in Active PSII; 5.4 Conclusions; 5.4.1 Low-temperature Precision Polarization Spectroscopies
• Sommario/riassunto: Since the events crucial to plant photosynthesis are now known in molecular detail, this process is no longer nature's secret, but can for the first time be mimicked by technology. Broad in its scope, this book spans the basics of biological photosynthesis right up to the current approaches for its technical exploitation, making it the most complete resource on artificial photosynthesis ever published. The contents draw on the expertise of the Australian Artificial Photosynthesis Network, currently the world's largest coordinated research effort to develop effective photosynthesis technolo

Perspectives in Shape Analysis / / edited by Michael Breuß, Alfred Bruckstein, Petros Maragos, Stefanie Wuhrer

• Record Nr.: UNINA9910254087303321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• ISBN: 3-319-24726-3
• Edizione: [1st ed. 2016.]
• Descrizione fisica: 1 online resource (XVII, 370 p. 144 illus., 82 illus. in color.)
• Collana: Mathematics and Visualization, , 2197-666X
• Disciplina: 516.15
• Soggetti: Geometry, Differential; Computer graphics; Mathematics - Data processing; Statistics; Differential Geometry; Computer Graphics; Computational Mathematics and Numerical Analysis; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: Part I Numerical Computing for Shape Analysis: 1 Ornament Analysis with the Help of Screened Poisson Shape Fields: S. Tari -- 2 A Comparison of Non-Lambertian Models for the Shape-from-Shading Problem: S. Tozza and M. Falcone -- 3 Direct Variational Perspective Shape from Shading with Cartesian Depth Parameterisation Y. Chul Ju et al -- 4 Amoeba Techniques for Shape and Texture Analysis: M. Welk -- 5 Increasing the Power of Shape Descriptor Based Object Analysis Techniques: J. Zuníc et al -- 6 Shape Distances for Binary Image Segmentation F.R. Schmidt et al -- 7 Segmentation in Point Clouds from RGB-D using Spectral Graph Reduction: M. Keuper and Th. Brox -- Part II Sparse Data Representation and Machine Learning for Shape Analysis: 8 Shape Compaction: H. Li and H. Zhang -- 9 Homological Shape Analysis through Discrete Morse Theory: L. de Floriani et al -- 10 ; Sparse Modeling of Intrinsic Correspondences: J. Pokrass et al -- 11 Applying Random Forests to the Problem of Dense Non-Rigid Shape Correspondence: M. Vestner et al -- 12 Accelerating Deformable Part Models with Branch-and-Bound: I. Kokkinos -- Part III Deformable Shape Modeling: 13 Non-Rigid Shape Correspondence in the Spectral Domain: A. Dubrovina -- 14 The Perspective Face Shape Ambiguity: W.A.P. Smith -- 15 On Shape Recognition and Language: P. Maragos -- 16 Tongue Mesh Extraction from 3D MRI Data of the Human Vocal Tract: A. Hewer et al.
• Sommario/riassunto: This book presents recent advances in the field of shape analysis. Written by experts in the fields of continuous-scale shape analysis, discrete shape analysis and sparsity, and numerical computing who hail from different communities, it provides a unique view of the topic from a broad range of perspectives. Over the last decade, it has become increasingly affordable to digitize shape information at high resolution. Yet analyzing and processing this data remains challenging because of the large amount of data involved, and because modern applications such as human-computer interaction require real-time processing. Meeting these challenges requires interdisciplinary approaches that combine concepts from a variety of research areas, including numerical computing, differential geometry, deformable shape modeling, sparse data representation, and machine learning. On the algorithmic side, many shape analysis tasks are modeled using partial differential equations, which can be solved using tools from the field of numerical computing. The fields of differential geometry and deformable shape modeling have recently begun to influence shape analysis methods. Furthermore, tools from the field of sparse representations, which aim to describe input data using a compressible representation with respect to a set of carefully selected basic elements, have the potential to significantly reduce the amount of data that needs to be processed in shape analysis tasks. The related field of machine learning offers similar potential. The goal of the Dagstuhl Seminar on New Perspectives in Shape Analysis held in February 2014 was to address these challenges with the help of the latest tools related to geometric, algorithmic and numerical concepts and to bring together researchers at the forefront of shape analysis who can work together to identify open problems and novel solutions. The book resulting from this seminar will appeal to researchers in the field of shape analysis,image and vision, from those who want to become more familiar with the field, to experts interested in learning about the latest advances.