We investigate the effect of solute drag on grain growth (GG) kinetics in olivine-rich rocks through full field and mean field modelling. Considering a drag force exerted by impurities on grain boundary migration allows reconciling laboratory and natural constraints on olivine GG kinetics. Solute drag is implemented in a full field level-set framew...
Published in Proceedings on Privacy Enhancing Technologies
Existing anonymity systems sacrifice anonymity for efficient communication or vice-versa. Onion-routing achieves low latency, high bandwidth, and scalable anonymous communication, but is susceptible to traffic analysis attacks. Designs based on DC-Nets, on the other hand, protect the users against traffic analysis attacks, but sacrifice bandwidth. ...
The delivery model of professional services firms is evolving because of trade and technology opportunities. Using a task based framework, it can be estimated that 22% of the content of professional services occupations can either be displaced or replaced. Both opportunities could each impact between 10 to 12% of the overall labor landscape. Howeve...
The ability of softening strain gradient plasticity to simulate intragranular plastic slip localization modes called slip and kink bands, at is investigated at incipient plasticity. A strain gradient crystal plasticity model based on a quadratic energy contribution of the Nye tensor has been implemented within the massively parallel FFT-based solve...
The upcoming High-Luminosity upgrade of the CERN Large Hadron Collider (HL-LHC) and the R&D on future accelerators (FCC) require radiation hardness tests and qualification of tracking and calorimetry detector components as well as muon gas detectors. The reference facilities at CERN for this kind of irradiation tests are the East Area Proton Irradi...
Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explored before the capabilities of these methods are well understood. In this paper, we present the first application of DRL to direct shape optimization. We show that, given...
Lifted Markov chains are Markov chains on graphs with added local "memory" and can be used to mix towards a target distribution faster than their memoryless counterparts. Upper and lower bounds on the achievable performance have been provided under specific assumptions. In this paper, we analyze which assumptions and constraints are relevant for mi...
The agglomeration of colloidal particles is investigated numerically in the context of complex turbulent flows. For that purpose, Lagrangian one-point pdf methods are used to track the motion of parcels (which represent a group of real particles) in a turbulent flow simulated using RANS turbulence models while agglomeration is treated inside each c...
