132 research outputs found

    Ein Konzept fĂŒr die Datenhaltung in der fertigungsnahen Mikrosystemtechnik

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    Diese Arbeit prĂ€sentiert Ergebnisse, die im Rahmen des PRINCE-Projektes am Institut fĂŒr Mikrosystemtechnik generiert wurden. PRINCE steht fĂŒr PRocess INformation and management CEnter und beschĂ€ftigt sich mit der automatisierten EntwurfsunterstĂŒtzung fĂŒr die Mikrosystemtechnik. Besonderes Augenmerk wurde hierbei auf die fertigungsnahen Aspekte des Entwurfs gelegt, da diese in bisherigen Lösungen nur ungenĂŒgend beachtet werden. Im Rahmen der Arbeit wurde deshalb eine umfassende Analyse der Problematik durchgefĂŒhrt. Eines der Ergebnisse war die Erkenntnis, dass beim fertigungsnahen Entwurf viele Daten anfallen, die alle in enger Beziehung stehen. Die geeignete Datenhaltung ist deshalb ein zentraler Punkt des Entwurfs. Ausgehend von dieser Erkenntnis wurde untersucht, welche aus der Informatik bekannten Methoden im Bereich Datenbank-Management geeignet sind. Als Ergebnis wird ein relationales Datenbankmodell vorgestellt, mit dem die gesammelten Daten auf sinnvolle Weise gespeichert und miteinander in Beziehung gebracht werden können. Außerdem wird eine Erweiterung dieses Modells um Methoden aus der Objektorientierung prĂ€sentiert, die eine hierarchische Darstellung der Daten durch Vererbung und Mehrfachvererbung ermöglicht. Mit dem Software-System PRINCE wurden die entworfenen Modelle umgesetzt und in der Praxis getestet. Durch den Einsatz moderner Techniken, wie z.B. J2EE und Java, ist eine Software entstanden, die eine Zusammenarbeit mehrerer unterschiedlicher Nutzer mit unterschiedlichen Rechnerplattformen ermöglicht.This work presents results generated during the PRINCE project. PRINCE is an acronym for PRocess INformation and management CEnter. The aim of the project was the support of the design of microsystems with special attention to the technology driven aspects of the design. The technology driven design (design for manufacturing) support is until now only marginally available. Within the project a systematic analysis of the technology driven design was performed. It turns out that a lot of data is accumulated. Also most of the collected data is somehow related. Therefore the organized management of data is a key topic in the design of microsystems. Starting from this realization methods for data management were researched for adequacy. Among the methods known in computer science the relational database was selected. As a result a relational database scheme is presented. All collected data can be stored and related in a useful manner using this scheme. Furthermore an extension of this scheme is presented that enhances it with methods from object oriented modelling. The usage of inheritance and multiple inheritance is discussed in detail. With the PRINCE software a system is presented that puts the model into practical use. Using modern technologies like Java and J2EE the software enables collaborative work among users with different hardware platforms

    Bond Strength of a Diatomic Acceptor Ligand: A Reliable Measure of Its Antibond Occupation and Its Charge?

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    A nitrosyl ligand is bonded to a central metal mainly via a mostly covalent normal bond and a coordinative metal-to-NO pi-backbond. A recent analysis had unravelled similar bonding characteristics of both linear and bent CoNO moieties in terms of ligand charge and antibond occupation. Thus, there should be no justification for the usual assignment of an NO+ ligand to a linear MNO unit and a singlet-NO- ligand to a bent one. This claim seems to contradict that bending an MNO unit weakens the N-O bond with a marked red-shift of the N-O stretch as one indicator. In this work, the failure of Dewar-Chatt-Duncanson-derived conclusions is demonstrated for linear/bent isomer couples by the analysis of M-N and N-O bond strengths. Instead of DCD behavior, lateral electrostatic influence on NO and other diatomic ligands modulates the intraligand bond strength in a similar way as has been shown in former work for polar interaction of a charge with CO in the 'non-classical' carbonyls. Methodologically, local-mode analysis is used to determine bond strengths. Oxidation states are determined by the effective-oxidation-state (EOS) method

    Not Guilty on Every Count: The “Non‐Innocent” Nitrosyl Ligand in the Framework of IUPACâ€Čs Oxidation‐State Formalism

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    Nitrosyl–metal bonding relies on the two interactions between the pair of N–O‐π* and two of the metal's d orbitals. These (back)bonds are largely covalent, which makes their allocation in the course of an oxidation‐state determination ambiguous. However, apart from M‐N‐O‐angle or net‐charge considerations, IUPACâ€Čs “ionic approximation” is a useful tool to reliably classify nitrosyl metal complexes in an orbital‐centered approach

    Management-induced changes in soil organic carbon on global croplands

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    Soil organic carbon (SOC), one of the largest terrestrial carbon (C) stocks on Earth, has been depleted by anthropogenic land cover change and agricultural management. However, the latter has so far not been well represented in global C stock assessments. While SOC models often simulate detailed biochemical processes that lead to the accumulation and decay of SOC, the management decisions driving these biophysical processes are still little investigated at the global scale. Here we develop a spatially explicit data set for agricultural management on cropland, considering crop production levels, residue returning rates, manure application, and the adoption of irrigation and tillage practices. We combine it with a reduced-complexity model based on the Intergovernmental Panel on Climate Change (IPCC) tier 2 method to create a half-degree resolution data set of SOC stocks and SOC stock changes for the first 30 cm of mineral soils. We estimate that, due to arable farming, soils have lost around 34.6 GtC relative to a counterfactual hypothetical natural state in 1975. Within the period 1975–2010, this SOC debt continued to expand by 5 GtC (0.14 GtC yr−1) to around 39.6 GtC. However, accounting for historical management led to 2.1 GtC fewer (0.06 GtC yr−1) emissions than under the assumption of constant management. We also find that management decisions have influenced the historical SOC trajectory most strongly by residue returning, indicating that SOC enhancement by biomass retention may be a promising negative emissions technique. The reduced-complexity SOC model may allow us to simulate management-induced SOC enhancement – also within computationally demanding integrated (land use) assessment modeling.</p
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