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Shaping the Future of ITS Workforce: Whom to Select? What Requirements? How to Train?
Publications associées (141)
Modified capillary number to standardize droplet generation in suction-driven microfluidics
In droplet microfluidic devices with suction-based flow control, the microchannel geometry and suction pressure at the outlet govern the dynamic properties of the two phases that influence the droplet generation. Therefore, it is critical to understand the ...
Heidelberg2024Dynamical simulation via quantum machine learning with provable generalization
Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly investigated. Here we d ...
Amer Physical Soc2024Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
Colin Neil Jones, Yingzhao Lian, Loris Di Natale, Jicheng Shi, Emilio Maddalena
This manuscript offers the perspective of experimentalists on a number of modern data-driven techniques: model predictive control relying on Gaussian processes, adaptive data-driven control based on behavioral theory, and deep reinforcement learning. These ...
2023Modeling high-entropy transition metal alloys with alchemical compression
Michele Ceriotti, Guillaume André Jean Fraux, Sandip De, Nataliya Lopanitsyna
Alloys composed of several elements in roughly equimolar composition, often referred to as high-entropy alloys, have long been of interest for their thermodynamics and peculiar mechanical properties, and more recently for their potential application in cat ...
AMER PHYSICAL SOC2023Modality-invariant Visual Odometry for Embodied Vision
Amir Roshan Zamir, Roman Christian Bachmann, Marius Reinhard Memmel
Effectively localizing an agent in a realistic, noisy setting is crucial for many embodied vision tasks. Visual Odometry (VO) is a practical substitute for unreliable GPS and compass sensors, especially in indoor environments. While SLAM-based methods show ...
Los Alamitos2023How not to get lost in the quest to publish an Open Access article?
Lorenza Salvatori, Manon Velasco
Upon attending this training, participants should have a clear understanding of what OA is; which are the most used models (Gold, Hybrid, Green...); what are the policies at national and institutional levels and how to comply with funders’ requirements; ho ...
2022Ontology-centric industrial requirements validation for aircraft assembly system design
The development of an aircraft industrial system faces the challenge of integrative requirements validation with de-correlated modelling languages and distributed proprietary formats. This paper specifies an ontology-centric industrial requirements validat ...
ELSEVIER2022Simulation Tool : Resources Management in High Performance Avionic for ADR Missions
Jean-Paul Richard Kneib, Michaël Yannick Juillard
This paper describes the second iteration in the development of a simulation tool that provides trade-offs of avionic architectures for future Active Debris Removal (ADR) space missions. Challenges of ADR missions lay in their ability to first detect and t ...
IEEE2021Guidelines for performing lignin-first biorefining
The valorisation of the plant biopolymer lignin is now recognised as essential to enabling the economic viability of the lignocellulosic biorefining industry. In this context, the "lignin-first" biorefining approach, in which lignin valorisation is conside ...
ROYAL SOC CHEMISTRY2021Microbes support enhanced nitrogen requirements of coral holobionts in a high CO 2 environment
Nils Rädecker, Gabriela Hannah Holligan Perna
Ocean acidification is posing a threat to calcifying organisms due to the increased energy requirements of calcification under high CO2 conditions. The ability of scleractinian corals to cope with future ocean conditions will thus depend on their ability t ...
2021