Virtual ultrasound machine operating in a GHz to MHz frequency range for particle-based biomedical simulations

Ultrasound-matter interactions underpin numerous biomedical and soft-matter applications, yet simulating these phenomena is challenging due to the large separation of viscous and sonic time scales. Continuum methods capture large-scale wave propagation but cannot resolve microscale interactions, while particle-based approaches offer molecular resolution but struggle with efficiency and stability at larger scales. We introduce a particle-based virtual ultrasound machine that uses a smoothed dissipative particle dynamics variant with an implicit pressure solver and a negative-pressure stabilization scheme, required to mimic acoustic propagation across medically relevant MHz-GHz frequencies. We demonstrate its capabilities by modeling the acoustophoresis of encapsulated microbubbles, a key mechanism in ultrasound-mediated drug delivery. Beyond this application, the approach establishes a generalizable platform for simulating wave-matter interactions in soft and biological materials, opening promising directions for computational studies of acoustics-driven phenomena in science and engineering.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-07-16
DOI
https://doi.org/10.1073/pnas.2610567123
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual ultrasound machine operating in a GHz to MHz frequency range for particle-based biomedical simulations

Matej Praprotnik, Tilen Potisk, Urban Čoko
Proceedings of the National Academy of Sciences
Microfluidic and Bio-sensing Technologies
article

Virtual ultrasound machine operating in a GHz to MHz frequency range for particle-based biomedical simulations

Matej Praprotnik, Tilen Potisk, Urban Čoko
article en

Abstract

Ultrasound-matter interactions underpin numerous biomedical and soft-matter applications, yet simulating these phenomena is challenging due to the large separation of viscous and sonic time scales. Continuum methods capture large-scale wave propagation but cannot resolve microscale interactions, while particle-based approaches offer molecular resolution but struggle with efficiency and stability at larger scales. We introduce a particle-based virtual ultrasound machine that uses a smoothed dissipative particle dynamics variant with an implicit pressure solver and a negative-pressure stabilization scheme, required to mimic acoustic propagation across medically relevant MHz-GHz frequencies. We demonstrate its capabilities by modeling the acoustophoresis of encapsulated microbubbles, a key mechanism in ultrasound-mediated drug delivery. Beyond this application, the approach establishes a generalizable platform for simulating wave-matter interactions in soft and biological materials, opening promising directions for computational studies of acoustics-driven phenomena in science and engineering.

Proceedings of the National Academy of SciencesVol. 123(29)
University of Ljubljana (SI), Laboratoire de Chimie Théorique (FR), Institute of Mathematics, Physics, and Mechanics (SI), Universitat de Barcelona (ES)
European High Performance Computing Joint Undertaking, European Research Council
Good health and well-being
Openalex Percentile: Top 15%
Microfluidic and Bio-sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.