Leibniz University Hannover

Qualification of a Swellable Hydrogel–Silicone Bimorph for Implantable Actuation

To improve the structural adaptability and biological suitability of cochlear implant electrode carriers, this study systematically develops and evaluates novel 3D-printed, swellable hydrogel–silicone composites. A vinylphosphonic acid–acrylamide hydrogel powder (VPA-AAm) was pre...

A thorium-229 optical nuclear clock with feedback loop

Abstract The laser-accessible nuclear transition in the thorium-229 isotope has been identified as a candidate for realizing an optical nuclear clock 1 that might outperform current optical clocks based on electron-shell transitions in atoms or ions 2 . It is expected to be more...

Comparing the preference of diagnostic information from variations of dynamic testing, criterion- and norm-referenced testing for individualized education planning

The aim of this study was to compare pre-service teachers' preference of information stemming from different diagnostic approaches. Participants ( N = 185) evaluated vignettes containing diagnostic information from norm-referenced testing, criterion-referenced testing, and two ty...

Temporal PV‐Power of Rooftops and Facades in Urban Areas Based on Ray Tracing

ABSTRACT Distributed photovoltaics (PV) can significantly contribute to the reduction of carbon emissions in urban energy systems. Analyzing the integration of distributed PV in such energy systems requires time‐resolved PV‐power for the urban area. This work aims at providing ea...

On large-scale wind-drift ocean currents: An asymptotic approach in spherical coordinates

Starting from the Navier–Stokes equations in rotating spherical coordinates with depth-varying density and eddy viscosity, we derive an asymptotic model describing non-equatorial wind-generated ocean drift currents. Our approach allows for large-scale flows that cannot be capture...

On a trust metric for stochastic multi-objective model-based damage localisation

Model-based structural health monitoring (SHM) is commonly applied to identify the position and extent of potential damage. This is achieved by updating damage parameters to match measured dynamic responses, such as modal properties. Local reductions in stiffness in the updated m...

Supporting AI Readiness Through Digital Workflows in Materials Science

Materials science produces heterogeneous data across experiments, simulations, and industrial processes that often remain bound to local formats, manual procedures, and project‐specific software. Digital workflows address this fragmentation through explicit, repeatable, and machi...

Multi-facility GNSS antenna calibration

Abstract Accurate antenna calibrations are a cornerstone of high-quality global navigation satellite systems (GNSS) positioning, time and frequency transfer, precise orbits, and troposphere estimates. The international GNSS service (IGS) antenna committee maintains antenna phase...

Machine learning algorithms for transplanting accelerometer observations in future satellite gravimetry missions

Abstract Accurate and continuous monitoring of Earth’s gravity field is essential for tracking mass redistribution processes linked to climate variability, hydrological cycles, and geodynamic phenomena. While the GRACE and GRACE Follow-On (GRACE-FO) missions have set the benchmar...

Is trust in science a good thing?

Abstract This paper discusses three different versions of the title question. First, it addresses the question of whether trust, as a special form of shaping interpersonal relationships of reliance, is the right form to aspire to in the case of the relationship of the public to s...

Lifetime reassessment of offshore wind turbines considering different operating conditions using Kriging meta-models

To extend the lifetime of an offshore wind turbine, a lifetime reassessment is required to determine the potential remaining lifetime. This means that the lifetime is recalculated using the combinations of environmental parameters (wind and wave effects) that have actually occurr...

Convolutions of Orlicz spaces and Orlicz Schatten classes, with applications to Toeplitz operators

Abstract Let $$\Phi $$ Φ be a Young function. We study convolution properties for symbol classes $$s_{A,\Phi }$$ s A , Φ , which consist of all a such that the pseudo-differential operator $$\operatorname {Op}_A(a)$$ Op A ( a ) is in the Orlicz Schatten class $$\mathscr {I}_\Phi...

Indirect Detection of Novichok Nerve Agents A-230, A-232, and A-234 by Ion Mobility Spectrometry: Limitations of Hydrolysis-Based Marker Strategies

Abstract Ion mobility spectrometry (IMS) is widely used for on-site detection of chemical warfare agents due to its high sensitivity and rapid response times. While volatile G-series nerve agents can be detected directly in the gas phase, detection of low-volatility agents such a...

Hochschild cohomology of Hilbert schemes of points on surfaces

Abstract We compute the Hochschild cohomology of Hilbert schemes of points on surfaces and observe that it is, in general, not determined solely by the Hochschild cohomology of the surface, but by its “Hochschild–Serre cohomology” – the bigraded vector space obtained by taking Ho...

Anthropogenic compound inputs decouple particulate and mineral-associated carbon pools in soils of a tropical urban agroecosystem

Urban soils accumulate diverse anthropogenic compounds (hereafter ACs). Yet, AC accumulation and its influence on soil organic carbon (SOC) dynamics remain poorly constrained. Here, we investigate how urbanisation-derived ACs affect SOC pools and composition in 618 arable topsoil...

Cohesive-frictional interphase failure modeling for multi-material topology optimization

This work presents a cohesive-frictional interphase failure modeling approach for density-based multi-material topology optimization. As the multi-phase transition region is naturally represented as a finite-thickness interphase within the density-based framework, we assess its f...

Artefact‐aware Brillouin microscopy framework for root mechanical phenotyping

Plant roots continuously sense and respond to the mechanical signals of their growth environment: root cap function, mucilage secretion, and hormonal regulation jointly adapt root tip mechanics, shaping whether roots penetrate compacted layers or reorient around obstacles. Most c...

Diving deep into uterine layers: ADC and IVIM at 0.55-T MRI

Abstract Objective To investigate and analyze the microstructure of uterine layers and to evaluate the feasibility and physiological variability of uterine diffusion metrics at 0.55-T MRI in healthy volunteers and participants with adenomyosis. Materials and methods In this prosp...

Road transport of trapped antiprotons

Abstract Low-energy antiprotons confined in ultrahigh-vacuum Penning traps 1 enable precision investigations of charge, parity and time-reversal (CPT) invariance 2 to test the fundamental symmetry between matter and antimatter. These studies are driven by the search for physics b...

On-demand inverse design of metamaterials via denoising diffusion probabilistic models

Abstract The nonlinear and non-unique relationship between unit-cell topology and bandgap properties motivates the development of complementary data-driven approaches for metamaterial inverse design. This work presents a conditional denoising diffusion probabilistic model (DDPM)-...