hy-high resolution mass spectrometry (LC-HRMS) based standardized metabolomics platform for the study [...] primary metabolites by GC-MS as well as our LC-HRMS based non-targeted approach. Metabolomics results will
modelling. I use stable isotope-based methods, carbon flux measurements and DNA-based techniques. I have been [...] increase decomposition of older SOC. The project is based on a series of approaches ranging from naturally [...] be linked to fungal communities measured by DNA-based techniques and soil C fluxes. In microcosms, it
fertilizer and soil testing with e.g. infinite-sink-based extraction methods to assess the nutrient availability [...] the rhizosphere. We develop approaches for plant-based remediation (phytoremediation) and metal recovery
mechanics. While classical continuum models – usually based on softening plasticity, damage mechanics, or their [...] Neuner et al. [3] successfully applied a B-spline-based implicit MPM to generalized continua for modeling [...] , C. Linder, G. Hofstetter (2024). “A B-spline based gradient-enhanced micropolar implicit material point
high share of companies and agricultural lands. Based on this, the Institute sees its mission in contributing [...] disciplinary and interdisciplinary nature are evaluated based on their effects for the overall system. By int
growth model (MOSES) , "PICUS" - a succession model based on gap dynamics (PICUS) , “iLand" - a landscape [...] for interpolating daily climate and soil data based on observations (DAYMET). We also developed a d [...] sd-decision-support-dobrova/ , conduct skyline-based harvesting operations in steep terrain (CONES)
s enables shared learning and a broad knowledge base in the context of PEDs. ZQ3Demo delivers concrete [...] Key Findings to provide a sound data and knowledge base for future Positive‐Energy‐District developments [...] focusses on the implementation of weather forecast-based residential controllers in several flats (15 flats)
is on the development of indicators and process-based statistical models for the characterisation of past [...] Statistics of extremes and time series analysis Process-based machine learning and data mining Our team Assoc
Hydrological models can be categorized into physically based, conceptual, and data-driven approaches, with artificial [...] One Shot (direct application without fine-tuning) based on the weights of a Pre trained model with equal
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