Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
-
aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
-
position with visibility and impact. Key Responsibilities • Lead and execute experimental research in spintronics: fabrication, magnetic/electrical characterization, data analysis, and simulation. • Develop
-
redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
-
Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
, the research will ideally be at the crossroads between computational mechanics of solids and materials science (physics, chemistry). Experience with interdisciplinarity would be desirable to ensure the success
-
schools History News 2025 School Introduction Registration Program Committees Sponsors Contact Repository Lectures by topic Lectures by author Search lectures 2024 2023 2022 2021 2020 2019 2018 2017 2015
-
the acquisition of multimodal/heterogeneous surgical data with artificial intelligence. Although this approach has been studied extensively in simulation (Tolvanen, et al.), there are currently no practical
-
, or electrophysiology recordings) identified in step 1.2. TheVirtualBrain framework [12] will assist in effectively managing the integration process. Aim 2: Model the computational de-association of memory traces 2.1