Concept

Tri fusion

Publications associées (83)

Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

The efficiency of stochastic particle schemes for large scale simulations relies on the ability to preserve a uniform distribution of particles in the whole physical domain. While simple particle split and merge algorithms have been considered previously, ...

2019

Batch Fabrication of Multilayer Polymer Cantilevers with Integrated Hard Tips for High-Speed Atomic Force Microscopy

Georg Fantner, Nahid Hosseini, Jonathan David Adams, Oliver Peric, Santiago Harald Andany, Matthias Neuenschwander

Increasing the speed of AFM imaging has significant benefits for academic research as well as industrial applications. In many imaging modes, the dynamic response of the cantilever probe dictates the achievable speed. Polymer cantilevers have gained great ...

IEEE2019

Efficient Learning from Comparisons

Lucas Maystre

Humans are comparison machines: comparing and choosing an item among a set of alternatives (such as objects or concepts) is arguably one of the most natural ways for us to express our preferences and opinions. In many applications, the analysis of data con ...

EPFL2018

Just Sort It! A Simple and Effective Approach to Active Preference Learning

Matthias Grossglauser, Lucas Maystre

We address the problem of learning a ranking by using adaptively chosen pairwise comparisons. Our goal is to recover the ranking accurately but to sample the comparisons sparingly. If all comparison outcomes are consistent with the ranking, the optimal sol ...

2017

Single-Virus Droplet Microfluidics for High-Throughput Screening of Neutralizing Epitopes on HIV Particles

Christoph Merten

Analyzing surface epitopes of single HIV particles holds great potential for the development of vaccine candidates. However, existing technologies do not allow corresponding screens at high throughput. We present here a single-virus droplet-based microflui ...

2017

Automated microfluidic sorting of mammalian cells labeled with magnetic microparticles for those that efficiently express and secrete a protein of interest

Amar Rida, Nicolas Mermod, Etienne Lançon, Niamh Harraghy

We developed a method for the fast sorting and selection of mammalian cells expressing and secreting a protein at high levels. This procedure relies on cell capture using an automated microfluidic device handling antibody-coupled magnetic microparticles an ...

Wiley2017

FloDB: Unlocking Memory in Persistent Key-Value Stores

Rachid Guerraoui, Mihail Igor Zablotchi, Vasileios Trigonakis, Oana Maria Balmau

Log-structured merge (LSM) data stores enable to store and process large volumes of data while maintaining good performance. They mitigate the I/O bottleneck by absorbing updates in a memory layer and transferring them to the disk layer in sequential batch ...

2017

The identification of effective and long-lasting cancer therapies still remains elusive, partially due to patient and tumor heterogeneity, acquired drug resistance, and single-drug dose-limiting toxicities. The use of drug combinations may help to overcome ...

Sage Publications Inc2017

Advancing Biocapture Substrates via Chemical Lift-Off Lithography

Nako Nakatsuka

Creating small-molecule-functionalized platforms for high-throughput screening or biosensing applications requires precise placement of probes on solid substrates and the ability to capture and to sort targets from multicomponent samples. Here, chemical li ...

2017

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The Particle-In-Cell (PIC) method is effectively used in many scientific simulation codes. In order to optimize the performance of the PIC approach, data locality is required. This relies on efficient sorting algorithms. We present a bucket sort algorithm ...

Springer2016

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