A Laplacian approach to stubborn agents and their role in opinion formation on influence networks

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Electrically connected and plasmonically enhanced molecular junctions combine the optical functionalities of high field confinement and enhancement (cavity function), and of high radiative efficiency (antenna function) with the electrical functionalities o ...

Modern power distribution systems are experiencing a large-scale integration of Converter-Interfaced Distributed Energy Resources (CIDERs). Their presence complicates the analysis and mitigation of harmonics, whose creation and propagation may be amplified ...

The diffusion of energy technologies is key for supporting the energy transition. While social influence and peer effects have been extensively studied on the demand side and found to impact adoption, less focus has been given to the role of information ne ...

We study socio-political systems in representative democracies. Motivated by problems that affect the proper functioning of the system, we build computational methods to answer research questions regarding the phenomena occurring in them. For each phenomen ...

For the European DEMO fusion reactor, several options of the Toroidal Field (TF) coil design were proposed. The winding of the TF coil option 1 is based on React&Wind (RW), Nb3Sn, graded conductors in order to optimize the amount of superconductor accordin ...

The thesis develops a planning framework for ADNs to achieve their dispatchability by means of ESS allocation while ensuring a reliable and secure operation of ADNs. Second, the framework is extended to include grid reinforcements and ESSs planning. Finall ...

The ubiquity of distributed machine learning (ML) in sensitive public domain applications calls for algorithms that protect data privacy, while being robust to faults and adversarial behaviors. Although privacy and robustness have been extensively studied ...

The objective of this thesis is the development of high-field and high-current joints between Nb3Sn cables for superconducting coils. The main fields of application are high energy physics (HEP) and thermonuclear fusion. In this thesis, the focus is on Win ...

Particle accelerators foresee the use of Nb3Sn in the next generation of dipole magnets. A common design strategy is to grade the coil, i.e., to optimize the quantity of superconductor in the turns with respect to the magnetic field intensity. As a consequ ...

Humans can rapidly estimate the statistical properties of groups of stimuli, including their average and variability. But recent studies of so-called Feature Distribution Learning (FDL) have shown that observers can quickly learn even more complex aspects ...

This manuscript reports on the application of copper thermal spraying in the manufacturing process of an electrical connection between Nb3Sn cables for superconducting magnets of fusion reactors. The joint is realized through diffusion bonding of the spray ...

While metasurfaces (MSs) are constructed from deeply subwavelength unit cells, they are generally electrically large and full-wave simulations of the complete structure are computationally expensive. Thus, to reduce this high computational cost, nonuniform ...

There has been a recent surge of interest in the study of asymptotic reconstruction performance in various cases of generalized linear estimation problems in the teacher-student setting, especially for the case of i.i.d standard normal matrices. Here, we g ...

The discretization of robust quadratic optimal control problems under uncertainty using the finite element method and the stochastic collocation method leads to large saddle-point systems, which are fully coupled across the random realizations. Despite its ...

The growing needs for human healthcare have driven the development of wearable devices for monitoring the health status of an individual. Polymers represent a promising platform for such devices due to their ability to form an intimate contact between soft ...

Bottom-up models of functionally relevant patterns of neural activity provide an explicit link between neuronal dynamics and computation. A prime example of functional activity patterns are propagating bursts of place-cell activities called hippocampal rep ...

Topological semimetals are frequently discussed as materials platforms for future electronics that exploit the remarkable properties of their quasiparticles. These ideas are mostly based on dispersion relations that mimic relativistic particles, such as We ...

Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...

Model and Data: Dujardin, J.; Lehning, M. Wind-Topo_model. EnviDat 2022 ...

Understanding the diffusion patterns of sequences of interdependent events is a central question for a variety of disciplines. Temporal point processes are a class of elegant and powerful models of such sequences; these processes have become popular across ...

A Laplacian approach to stubborn agents and their role in opinion formation on influence networks

Chattez avec Graph Search

Light Emission and Conductance Fluctuations in Electrically Driven and Plasmonically Enhanced Molecular Junctions

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Diffusion of energy technologies: the role and dynamics of supply-side information networks

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

AC loss and electrical resistance of the RW3 diffusion-bonded joint

Dispatch-aware Optimal Planning of Active Distribution Networks including Energy Storage Systems

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Intergrade Joints for Nb3Sn cables of high magnetic field magnets

Diffusion-Bonding Between Strands and Modeling of Splices of Nb3Sn Rutherford Cables

Feature distribution learning by passive exposure

Application of Copper Thermal Spraying for Electrical Joints between Superconducting Nb3Sn Cables

Surface Susceptibilities as Characteristic Models of Reflective Metasurfaces

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Preconditioners for robust optimal control problems under uncertainty

Development of stencil lithography for stretchable interconnects

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

Anisotropic and nonlinear transport in microstructured 3D topological semimetals

Dynamic Personalized Ranking

Wind-Topo_Model

Learning Self-Exciting Temporal Point Processes Under Noisy Observations