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The micro-explosion of emulsion droplets plays an important role in promoting atomization, improving combustion efficiency, and reducing pollutant emissions. In this experimental study of the micro-explosion of emulsion droplets, we find…

Fluid Dynamics · Physics 2025-04-22 Houpeng Zhang , Zhen Lu , Tianyou Wang , Zhizhao Che

Ultrasound-vaporizable microdroplets can be exploited for targeted drug delivery. However, it requires customized microfluidic techniques able to produce monodisperse, capillary-sized and biocompatible multiple emulsions. Recent development…

Soft Condensed Matter · Physics 2019-12-17 E. Teston , V. Hingot , V. Faugeras , C. Errico , M. Bezagu , M. Tanter , O. Couture

The use of microscopic discrete fluid volumes (i.e., droplets) as microreactors for digital microfluidic applications often requires mixing enhancement and control within droplets. In this work, we consider a translating spherical liquid…

Fluid Dynamics · Physics 2008-09-23 R. Chabreyrie , D. Vainchtein , C. Chandre , P. Singh , N. Aubry

Droplets are the core functional units in microfluidic technologies that aim to integrate computation and reaction on a single platform. Achieving directed transport and control of these droplets typically demands elaborate substrate…

Soft Condensed Matter · Physics 2025-10-03 Zixuan Wu , Gavin Linton , Stefan Karpitschka , Anupam Pandey

Microfluidic chips provide unparalleled control over droplets and jets, which have advanced all natural sciences. However, microfluidic applications could be vastly expanded by increasing the per-channel throughput and directly exploiting…

Scalable technologies for the production of bio-compatible complex microfibers with controllable size and composition at competitively high throughput are urgently needed in order to meet the growing demand for such microstructures in…

Applied Physics · Physics 2022-08-11 Marangon Francesco , Baumgartner David , Planchette Carole

The generation of microdroplets via segmentation in microfluidic devices is of interest in many applications, from biochemical to pharmaceutical. This technique permits indeed much higher control on the droplet size, uniformity and…

Fluid Dynamics · Physics 2026-01-15 Alessio Innocenti , Andrea Poggi , Simone Camarri , Maria Vittoria Salvetti

Generating molecular graphs is crucial in drug design and discovery but remains challenging due to the complex interdependencies between nodes and edges. While diffusion models have demonstrated their potentiality in molecular graph design,…

Machine Learning · Computer Science 2024-11-11 Xiaoyang Hou , Tian Zhu , Milong Ren , Dongbo Bu , Xin Gao , Chunming Zhang , Shiwei Sun

We report observations of the self-assembly of coated droplets into regular clusters at the sudden expansion of a microfluidic channel. A double emulsion consisting of a regular train of coated microdroplets was created upstream of the…

Soft Condensed Matter · Physics 2020-10-19 Kerstin Schirrmann , Gabriel Cáceres-Aravena , Anne Juel

Intuitively, droplets in proximity merge when brought into contact. However, under certain conditions, they may not coalesce due to the entrapment of an interstitial gas film. Non-coalescence between water droplets has so far been observed…

Fluid Dynamics · Physics 2025-07-18 Gopal Chandra Pal , Cheuk Wing Edmond Lam , Chander Shekhar Sharma

Predicting low-energy molecular conformations given a molecular graph is an important but challenging task in computational drug discovery. Existing state-of-the-art approaches either resort to large scale transformer-based models that…

Quantitative Methods · Quantitative Biology 2024-10-31 Majdi Hassan , Nikhil Shenoy , Jungyoon Lee , Hannes Stark , Stephan Thaler , Dominique Beaini

The complexity of droplet microfluidics grows by implementing parallel processes and multiple functionalities on a single device. This poses a challenge to the engineer designing the microfluidic networks. In today's design processes, the…

Fluid Dynamics · Physics 2018-10-03 Andreas Grimmer , Medina Hamidović , Werner Haselmayr , Robert Wille

Droplets collide in several complex spray environments ranging from sea sprays to combustion chambers, altering their size and velocity characteristics. The present work offers a systematic investigation of such collisions within the…

Fluid Dynamics · Physics 2025-11-12 Narendra Dev , Varun Kulkarni , Sivakumar Deivandren

Large droplets emerging during dropwise condensation impair surface properties such as anti-fogging/frosting ability and heat transfer efficiency. How to spontaneously detach massive randomly distributed droplets with controlled sizes has…

Materials Science · Physics 2022-10-18 Chen Ma , Zhiping Yuan , Li Chen , Lin Wang , Wei Tong , Cunjing Lv , Quanshui Zheng

Multiscale mixed methods based on non-overlapping domain decompositions can efficiently handle the solution of significant subsurface flow problems in very heterogeneous formations of interest to the industry, especially when implemented on…

Numerical Analysis · Mathematics 2025-02-25 Dilong Zhou , Rafael Guiraldello , Felipe Pereira

Deep generative models that produce novel molecular structures have the potential to facilitate chemical discovery. Flow matching is a recently proposed generative modeling framework that has achieved impressive performance on a variety of…

Machine Learning · Computer Science 2024-11-26 Ian Dunn , David R. Koes

The dynamics of droplet collisions in microchannels are inherently complex, governed by multiple interdependent physical and geometric factors. Understanding and predicting the outcomes of these collisions-whether coalescence, reverse-back,…

Fluid Dynamics · Physics 2024-11-12 SM Abdullah Al Mamun , Samaneh Farokhirad

Recent works demonstrated that fiber arrays may constitue the basis of an open digital microfluidics. Various processes, such as droplet motion, fragmentation, trapping, release, mixing and encapsulation, may be achieved on fiber arrays.…

Fluid Dynamics · Physics 2015-03-13 Floriane Weyer , Marjorie Lismont , Laurent Dreesen , Nicolas Vandewalle

Generative models for crystalline materials often rely on equivariant graph neural networks, which capture geometric structure well but are costly to train and slow to sample. We present Crystalite, a lightweight diffusion Transformer for…

Machine Learning · Computer Science 2026-04-03 Tin Hadži Veljković , Joshua Rosenthal , Ivor Lončarić , Jan-Willem van de Meent

In-air microfluidics became a new method for technical production processes with ultra-high throughput formerly performed in micro channels. Direct Numerical Simulations (DNS) provide a valuable contribution for the fundamental…