Delft University of Technology

Large deviations for stochastic evolution equations beyond the coercive case

Abstract Using the weak convergence approach, we prove the small-noise large deviation principle (LDP) for stochastic evolution equations in an $$L^2$$ L 2 -setting. As the coefficients are allowed to be non-coercive, our framework encompasses a much broader scope than variationa...

Ten-second electron-spin coherence in isotopically engineered diamond

Abstract Solid-state spin defects are a promising platform for quantum networks. A key requirement is to combine long ground-state spin-coherence times with a coherent optical transition for spin-photon entanglement. Here, we investigate the spin and optical coherence of single n...

Evaluating Smartphone LiDAR for Road Infrastructure Mapping: Harmonisation of iPhone LiDAR Data with National Airborne LiDAR Datasets

National airborne laser-scanning campaigns, such as the Dutch AHN update, run on multi-year cycles, leaving newly built infrastructure undocumented for years. This study investigates whether smartphone LiDAR can close that gap by harmonising iPhone-acquired point clouds with the...

Roof Structure Extraction from Remote Sensing Images

Accurate roof structure extraction from aerial imagery is important for applications such as solar energy assessment, urban analysis, and 3D city modeling, where roof surfaces require geometrically reliable polygonal representations. Although instance segmentation methods can det...

The Large Deviation Principle for the Stochastic 3D Primitive Equations with Transport Noise

Abstract We prove the small-noise large deviation principle for the three-dimensional primitive equations with transport noise and turbulent pressure. Transport noise is important for geophysical fluid dynamics applications, as it takes into account the effect of small scales on...

North Sea Storm Surges Amplified by Oscillations Triggered by Preceding Storms

Abstract Storm surges are often treated as independent extremes, yet extratropical cyclones and associated coastal water‐level extremes frequently occur in clustered sequences. Although clustering can increase flood hazard by shortening recovery time, it remains unclear whether p...

Visual–inertial integration enables bumblebees to land on rapidly moving flowers

Landing on a moving target is challenging for flying animals, particularly under dynamic outdoor conditions. For pollinators such as bumblebees, wind-induced flower motion adds substantial complexity to landing manoeuvres. Here, we investigate how bumblebees (Bombus terrestris) l...

Does science matter for policymaking? Explaining energy model adoption in the European Union

Energy modelling frameworks shape what governments perceive as feasible and influence the development of energy systems. However, whether and why modelling frameworks are adopted during policymaking has received little attention. We address this gap by analyzing modelling framewo...

BICLARE: bio-inspired collaborative lightweight algorithm for robust swarm exploration

Having access to a floor plan upon arrival enables first responders to act swiftly and efficiently. This study investigates the use of robotic swarms for autonomous environment mapping, with the aim of generating maps before emergency personnel arrive at the scene. We introduce B...

Re-weaving threads for a circular economy: Spatio-temporal dynamics of the textile and clothing sector in Rotterdam

The ambition of achieving a circular economy (CE) brings with it renewed challenges in implementing systemic change in a context reluctant to abandon ‘business as usual’, but in which the urgency to transform linear production patterns into circular ones grows ever stronger. Taki...

Older adults do not have a higher metabolic cost than younger adults in outdoor overground walking

The metabolic cost of walking is widely used to evaluate human performance and effectiveness of clinical interventions. Decades of laboratory research, largely based on treadmill experiments, have established a canonical relationship between walking speed and metabolic cost, and...

SPAMS10: an InSAR-derived soil motion parameter dataset to model relative peat surface elevation changes

Peat subsidence poses a significant challenge to long-term land and environmental stability by increasing flood risk and producing greenhouse gas emissions. Field monitoring with extensometers reveals variability in relative surface elevation changes, which are then modeled using...

The Behavior of N2 and CO2 Foams under Varying Pressure Conditions

Abstract Knowledge of how CO2 foam behaves when flowing through rock is important for many CO2 Capture, Utilization and Storage (CCUS) applications. Typically, laboratory foam flow tests are carried out at relatively low pressures as compared to reservoir pressures. However, the...

Balancing trade-offs in circular medical device design: a case study on laparoscopic devices

Abstract This study explores how circular design principles can be applied to single-use laparoscopic staplers to improve their carbon footprint without compromising critical requirements such as safety, performance, and financial feasibility. Using a research-through-design appr...

Internal and external design integration, launch strategy proficiency, and new product development performance: The contingent role of market dynamism

Design capabilities have been recognized as drivers of innovation, yet the distinction between internal and external design integration remains largely underexplored, as do the ways through which these integration types contribute to new product development (NPD) performance. Dra...

Exploring the added value of assimilating satellite altimeter measurements in a North Sea wave model using the Deterministic Ensemble Kalman Filter

Abstract This study reports on the impact of assimilating satellite altimeter measurements with the Deterministic Ensemble Kalman Filter (DEnKF) using a regional SWAN wave model for the North Sea. We assimilated satellite altimeter measurements over a 3-month period (December 202...

Whisker-based tactile flight for tiny drones

Abstract Tiny flying robots hold great potential for search-and-rescue, safety inspections, and environmental monitoring, but their small size and limited computational resources constrain onboard sensing capabilities. Inspired by animals such as rats and moles which rely on ligh...

Interplay of capillary, viscous, and gravity forces on salt precipitation and injectivity loss during CO2 storage in saline aquifers

Salt precipitation during CO 2 injection into hypersaline aquifers can significantly impair injectivity. Understanding the controls on the magnitude and spatial distribution of salt precipitation is therefore critical. Here, we use TOUGH3 model to systematically investigate the c...

A stabilized finite element method for a Morpho-Visco-Poroelastic Model

Studying the structure of soft tissues is important and relevant in biology, particularly in some diseases, such as tumor growth and dermal contraction after burn injury. Based on the complicated characteristics of the tissue and for the sake of a better understanding of the unde...

Strong Coupling in Bulk Nanoplasmonic Nanoplatelet Perovskite Scintillators

ABSTRACT Control of light emission underpins photonics and radiation detection. Strong coupling between excitons and confined electromagnetic modes forms light–matter states known as polaritons, enabling emission control. In scintillators, such effects have been investigated main...