Related publications (45)

Improvements to the dynamic wake meandering model by incorporating the turbulent Schmidt number

Fernando Porté Agel, Peter Andreas Brugger, Corey Dean Markfort

Predictions of the dynamic wake meandering model (DWMM) were compared to flow measurements of a scanning Doppler lidar mounted on the nacelle of a utility-scale wind turbine. We observed that the wake meandering strength of the DWMM agrees better with the ...
2024

BamX: Rethinking Deployability in Architecture through Weaving

Mark Pauly, Stefana Parascho, Seiichi Eduardo Suzuki Erazo, Tian Chen, Yingying Ren

Deployable gridshells are a class of planar-to-spatial structures that achievea 3D curved geometry by inducing bending on a flat grid of elastic beams. However, theslender nature of these beams often conflicts with the structure’s load-bearing capacity.To ...
De Gruyter2023

Synthetic Contrasts in Musculoskeletal MRI A Review

Tobias Kober, Tom Hilbert

This review summarizes the existing techniques and methods used to generate synthetic contrasts from magnetic resonance imaging data focusing on musculoskeletal magnetic resonance imaging. To that end, the different approaches were categorized into 3 diffe ...
LIPPINCOTT WILLIAMS & WILKINS2023

Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations

Christoph Koch, Peter Lindner, Zilu Tian, Val Tannen

We generalize the bulk-synchronous parallel (BSP) processing model to make it better support agent-based simulations. Such simulations frequently exhibit hierarchical structure in their communication patterns which can be exploited to improve performance. ...
2023

"A physics-based model for wind turbine wake expansion in the atmospheric boundary layer"

Fernando Porté Agel, Dara Vahidi

Vahidi, Dara, and Fernando Porté-Agel. "A physics-based model for wind turbine wake expansion in the atmospheric boundary layer." Journal of Fluid Mechanics 943 (2022). ...
EPFL Infoscience2022

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

Edoardo Remelli

In this thesis, we advocate that Computer-Aided Engineering could benefit from a Geometric Deep Learning revolution, similarly to the way that Deep Learning revolutionized Computer Vision. To do so, we consider a variety of Computer-Aided Engineering pro ...
EPFL2022

Learning to Simulate Realistic LiDARs

Pascal Fua, Benoît Alain René Guillard

Simulating realistic sensors is a challenging part in data generation for autonomous systems, often involving carefully handcrafted sensor design, scene properties, and physics modeling. To alleviate this, we introduce a pipeline for data-driven simulation ...
2022

Historical perspective and basic principles

Luc Thévenaz

We give a broad overview of the historical development and physics of Brillouin scattering. We discuss the seminal papers of Brillouin and Mandelstam and give the historical context of their research. We discuss the development of experiments and observati ...
Elsevier2022

The spectrum of early career physics

Tara Nanut

There isn't one single 'early career experience' in physics, and different subfields involve very different opportunities and challenges. Seven early career physicists who work on a range of research topics in different subfields discuss their views on the ...
NATURE PORTFOLIO2021

Early Prediction of Conceptual Understanding in Interactive Simulations

Jade Maï L Cock, Christian Giang, Mirko Marras

Interactive simulations allow students to independently ex- plore scientific phenomena and ideally infer the underlying principles through their exploration. Effectively using such environments is challenging for many students and there- fore, adaptive gui ...
2021

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