265 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts Institute of TechnologyUS18 papers
- Syracuse UniversityUS9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Tel Aviv UniversityIL8 papers
- Washington University in St. LouisUS5 papers
- Emory UniversityUS4 papers
- Aix-Marseille UniversitéFR3 papers
- Centre de Physique ThéoriqueFR3 papers
- Centre Interdisciplinaire de Nanoscience de MarseilleFR3 papers
- École Normale Supérieure de LyonFR3 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ3 papers
- Lyon 1 UniversitéFR3 papers
5 papers · 1 filter
Learning general pair interactions between self-propelled particles
Jérôme Hem, Alexis Poncet, Pierre Ronceray +2
Synthetic active matter systems, such as active colloids, often have complex interactions, which can be of hydrodynamic, chemical or electrostatic origin and cannot be computed fro…
Optical turbulence retrieval of heterogeneous media
Masaki Watabe, Joe Sakamoto, Hideaki Yoshimura +2
The transport of intensity equation (TIE) has revolutionized phase retrieval in optical microscopy, yet its application to complex media with absorption/scattering remains challeng…
Controlling Droplets at the Tips of Fibers
Mengfei He, Samay Hulikal, Marianna Marquardt +5
Many complex wetting behaviors of fibrous materials are rooted in the behaviors of individual droplets attached to pairs of fibers. Here, we study the splitting of a droplet held b…
Shape transitions of sedimenting confined droplets and capsules: from oblate to bullet-like geometries
Danilo P. F. Silva, Rodrigo C. V. Coelho, Ariel Dvir +4
The transport and deformation of confined droplets and flexible capsules are central to diverse phenomena and applications, from biological flows in microcapillaries to industrial…
MTLoc: A Confidence-Based Source-Free Domain Adaptation Approach For Indoor Localization
Negar Mehregan, Berk Bozkurt, Eric Granger +2
Various deep learning models have been developed for indoor localization based on radio-frequency identification (RFID) tags. However, they often require adaptation to ensure accur…