Publications associées à Distillation

Separation of CO2 and TFE by using diethanolamine and diisopropylamine

Elia Mercedes Ruiz Pachon, Muhammad Salman

The near-azeotrope mixture of TFE and CO2 is an important concern urging the scientific community to develop new ways for TFE/CO2 separations. In this work, for the first time, Diisopropylamine (DIPA) and Diethanolamine (DEA) are used as solvents for separ ...

Taylor & Francis Inc2024

Extension of GeN-Foam to modeling of boiling water and validation against the OECD/NRC PSBT benchmark

Carlo Fiorina, Stefan Radman, Ran Zhang, Hao Qin

The OpenFOAM-based GeN-Foam solver has recently been extended to allow simulating water boiling based on a porous-medium approach. This paper describes such extension and preliminarily validates it based on the OECD/NRC PSBT benchmark. Three benchmark exer ...

ELSEVIER SCIENCE SA2023

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions

Mathieu Salzmann, Shuxuan Guo, Yinlin Hu

Knowledge distillation facilitates the training of a compact student network by using a deep teacher one. While this has achieved great success in many tasks, it remains completely unstudied for image-based 6D object pose estimation. In this work, we intro ...

Ieee Computer Soc2023

Synthesis of Trifluoromethylated Alkenes: Hypervalent Iodine Meets High-Valent Copper

Jérôme Waser, Tobias Michael Milzarek

The first trifluoromethylation of vinylbenziodoxolones (VBX) is reported herein. The synthetic method is based on the use of bench-stable, high-valent copper(III) species, and the reaction can be initiated under thermal conditions and/or irradiation (365 n ...

Wiley-VCH Verlag GmbH2023

Improving the Training of Compact Neural Networks for Visual Recognition

Shuxuan Guo

During the Artificial Intelligence (AI) revolution of the past decades, deep neural networks have been widely used and have achieved tremendous success in visual recognition. Unfortunately, deploying deep models is challenging because of their huge model s ...

EPFL2022

Low‐Volatility Vapors and New Particle Formation Over the Southern Ocean During the Antarctic Circumnavigation Expedition

Julia Schmale, Andrea Baccarini, Robin Lewis Modini

During summer, the Southern Ocean is largely unaffected by anthropogenic emissions, which makes this region an ideal place to investigate marine natural aerosol sources and processes. A better understanding of natural aerosol is key to constrain the preind ...

2021

Vapor Transport Deposition of Methylammonium Iodide for Perovskite Solar Cells

Christophe Ballif, Quentin Thomas Jeangros, Florent Sahli, Cédric Bucher, Björn Niesen, Léo Duchêne, Quentin Jean-Marie Armand Guesnay, Aymeric Michel Schafflützel, Nathanaël Miaz, Niccolo Salsi

Vapor-based processes are promising options to deposit metal halide perovskite solar cells in an industrial environment due to their ability to deposit uniform layers over large areas in a controlled environment without resorting to the use of (possibly to ...

2021

Adhesion of a tape loop

Harmeet Singh

In this work, we revisit experimentally and theoretically the mechanics of a tape loop. Using primarily elastic materials (polydimethylsiloxane, PDMS, or polycarbonate, PC) and confocal microscopy, we monitor the shape as well as the applied forces during ...

ROYAL SOC CHEMISTRY2020

Technical note: Evaluation of a low-cost evaporation protection method for portable water samplers

Jana Freiin von Freyberg

Automated field sampling of streamwater or precipitation for subsequent analysis of stable water isotopes (H-2 and O-18) is often conducted with off-the-shelf automated samplers. However, when water samples are stored in the field for days and weeks in ope ...

2020

On reducing the number of decision variables for dynamic optimization

Dominique Bonvin, Diogo Filipe Mateus Rodrigues

This paper presents an input parameterization for dynamic optimization that allows reducing the number of decision variables compared to traditional direct methods. A small number of decision variables is likely to be beneficial for various applications su ...

2020