| 1 | EU-Citizen.Science:A Platform for Mainstreaming Citizen Science and Open Science in Europe显示文摘Citizen Science(CS)is a prominent field of application for Open Science(OS),and the two have strong synergies,such as:advocating for the data and metadata generated through science to be made publicly available[1];supporting more equitable collaboration between different types of scientists and citizens;and facilitating knowledge transfer to a wider range of audiences[2].While primarily targeted at CS,the EU-Citizen.Science platform can also support OS.One of its key functions is to act as a knowledge hub to aggregate,disseminate and promote experience and know-how;for example,by profiling CS projects and collecting tools,resources and training materials relevant to both fields.To do this,the platform has developed an information architecture that incorporates the public participation in scientific research(PPSR)-Common Conceptual Model.This model consists of the Project Metadata Model,the Dataset Metadata Model and the Observation Data Model,which were specifically developed for CS initiatives.By implementing these,the platform will strengthen the interoperating arrangements that exist between other,similar platforms(e.g.,BioCollect and SciStarter)to ensure that CS and OS continue to grow globally in terms of participants,impact and fields of application. | Katherin Wagenknecht Tim Woods Francisco García Sanz Margaret Gold Anne Bowser Simone Rüfenacht Luigi Ceccaroni Jaume Piera | 2021 | Data Intelligence2021，3，1： | 2 |
| 3 | Microstructural impacts on ionic conductivity of oxide solid electrolytes from a combined atomistic-mesoscale approach显示文摘Although multiple oxide-based solid electrolyte materials with intrinsically high ionic conductivities have emerged,practical processing and synthesis routes introduce grain boundaries and other interfaces that can perturb primary conduction channels.To directly probe these effects,we demonstrate an efficient and general mesoscopic computational method capable of predicting effective ionic conductivity through a complex polycrystalline oxide-based solid electrolyte microstructure without relying on simplified equivalent circuit description.We parameterize the framework for Li_(7-x)La_(3)Zr_(2)0_(12)(LLZO)gamet solid electrolyte by combining synthetic microstructures from phase-field simulations with diffusivities from molecular dynamics simulations of ordered and disordered systems.Systematically designed simulations reveal an interdependence between atomistic and mesoscopic microstructural impacts on the effective ionic conductivity of polycrystalline LLZO,quantified by newly defined metrics that characterize the com plex ionic transport mechanism.Our results provide fundamental understanding of the physical origins of the reported variability in ionic conductivities based on an extensive analysis of literature data,while simultaneously outlining practical design guidance for achieving desired ionic transport properties based on conditions for which sensitivity to microstructural features is highest.Additional implications of our results are discussed,including a possible connection between ion conduction behavior and dendrite formation. | Tae Wook Heo Andrew Grieder Bo Wang Marissa Wood Tim Hsu Sneha A.Akhade Liwen F.Wan Long-Qing Chen Nicole Adelstein Brandon C.Wood | 2021 | npj Computational Materials2021，，1： | 0 |
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