04402nam 22007575 450 991076751020332120231124094926.0981-9953-25-110.1007/978-981-99-5325-7(MiAaPQ)EBC30970244(Au-PeEL)EBL30970244(DE-He213)978-981-99-5325-7(CKB)29038608600041(EXLCZ)992903860860004120231124d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierElectronic Band Structure Engineering and Ultrafast Dynamics of Dirac Semimetals /by Changhua Bao1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (91 pages)Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061Print version: Bao, Changhua Electronic Band Structure Engineering and Ultrafast Dynamics of Dirac Semimetals Singapore : Springer,c2024 Introduction -- Experimental Techniques -- Development of Novel Trarpes With Tunable Probe Photon Energy for 3D Quantum Materials -- Chiral Symmetry Breaking in Kekulé-ordered Graphene -- Coexistence of Flat Band and Kekulé Order.This book highlights the doctoral research of the author on electronic band structure engineering and ultrafast dynamics of Dirac semimetals. Dirac semimetals exhibit unique electronic band structure and novel physical properties with rich light-matter interaction, which inspires a wide range of potential applications. Enabling band engineering and revealing ultrafast dynamics of Dirac semimetals is therefore important. In the research work covered by the book, the first ultrafast time- and angle-resolved photoemission spectroscopy with tunable probe photon energy is developed, providing new opportunities for exploring ultrafast dynamics in 3D quantum materials. Using the spectroscopy, the author investigates the band structure engineering and ultrafast dynamics of Dirac semimetals, realizing the long-sought-after chiral symmetry breaking in a Kekulé-ordered graphene with flat band and revealing the ultrafast dynamics of Dirac fermions in 3D Dirac semimetal for the first time. The work advances the research of the electronic structure of Dirac semimetals in two aspects. Firstly, it identifies the Kekulé-ordered graphene as a new system for exploring chiral symmetry breaking- related physics and flat band- induced instability, providing a very rare system to investigate their interplay. Secondly, it solves the long-standing challenge of directly visualizing the non-equilibrium electronic structure of 3D Dirac semimetal and opens up new opportunities for exploring the light-matter interaction in 3D quantum materials, especially the light-induced topological phase transitions in 3D topological materials.Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061Condensed matterSemiconductorsOpticsOptical materialsPhotonicsMaterials scienceData processingElectronic structureQuantum chemistryComputer programsCondensed Matter PhysicsSemiconductorsLight-Matter InteractionOptical MaterialsUltrafast PhotonicsElectronic Structure CalculationsCondensed matter.Semiconductors.Optics.Optical materials.Photonics.Materials scienceData processing.Electronic structure.Quantum chemistryComputer programs.Condensed Matter Physics.Semiconductors.Light-Matter Interaction.Optical Materials.Ultrafast Photonics.Electronic Structure Calculations.530.411Bao Changhua1453178MiAaPQMiAaPQMiAaPQBOOK9910767510203321Electronic Band Structure Engineering and Ultrafast Dynamics of Dirac Semimetals3655693UNINA05875nam 2201537z- 450 991057687350332120220621(CKB)5720000000008440(oapen)https://directory.doabooks.org/handle/20.500.12854/84553(oapen)doab84553(EXLCZ)99572000000000844020202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierLand Degradation Assessment with Earth ObservationBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (368 p.)3-0365-4227-2 3-0365-4228-0 This Special Issue (SI) on "Land Degradation Assessment with Earth Observation" comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps-some of which have been identified in this SI-and produce highly accurate and relevant land-degradation assessment and monitoring tools.Research & information: generalbicsscAmu Darya delta (ADD)archetypesarid and semi-arid areasaridity indexAVHRRbfastBFASTBotswanabreakpoint analysisbreakpoints and timeseries analysisbrowningcentral Asiadeveloping countriesdriversdroughtdrought adaptationdrought impactsdrought indexdrought vulnerabilityEarth observationEast Africaecosystem structural changeGaofen satelliteGEEgeographically weighted regression (GWR)Google Earth Enginegreenhouse gas emissionsgreeninggully mappinghigh temporal resolutionirrigated systemsKenyaKobresia pygmaea communityKyrgyzstanland coverland degradationland degradation neutralityland productivityland surface phenologyland useland use-land coverLandsatLandsat time series analysismachine learningMann-KendallMann-Kendallmining developmentMODISmonitoring and reportingn/aNDVINiger River basinNigeriaNormalised Difference Vegetation Index (NDVI)pasturesprecipitationrandom forestREDD+reference levelsremote sensingremote sensing indexRWEQsalinity indexsalinizationsalinized land degradation index (SDI)satellite imagerysatellite-based aridity indexsavannahSDGself-organizing mapssemi-arid areassemi-arid environmentSen's slopeSentinel-1Sentinel-2Sentinel-2 imagesshrub encroachmentslangbosSoil Adjusted Vegetation Index (SAVI)soil organic carbonSouth Africaspatial distributionspatial heterogeneityspatial-temporal variationstandardized precipitation evapotranspiration indexsupport vector machinessustainable land management programmesSynthetic Aperture Radar (SAR)TI-NDVItime seriestrend analysisUgandaunmanned aerial vehicleVegetation Condition Index (VCI)vegetation indexvegetation resiliencevegetation trendsvegetation-precipitation relationshipwind erosion modelingXishuangbannaResearch & information: generalSymeonakis Eliasedt1291007Symeonakis EliasothBOOK9910576873503321Land Degradation Assessment with Earth Observation3021746UNINA