Daniel Stoecklein

Daniel Stoecklein
University of California, Los Angeles | UCLA · Department of Bioengineering

About

24
Publications
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323
Citations

Publications

Publications (24)
Article
Mixing is a basic but challenging step to achieve in high throughput microfluidic applications such as organic synthesis or production of particles. A common approach to improve micromixer performance is to devise a single component that enhances mixing through optimal convection, and then sequence multiple such units back-to-back to enhance overal...
Article
Full-text available
In this work, we demonstrate the high-throughput fabrication of 3D microparticles using a scanning two-photon continuous flow lithography (STP-CFL) technique in which microparticles are shaped by scanning the laser beam at the interface of laminar co-flows. The results demonstrate the ability of STP-CFL to manufacture high-resolution complex geomet...
Article
Shape design for stabilizing microparticles in inertial microfluidic flows - Volume 886 - Aditya Kommajosula, Daniel Stoecklein, Dino Di Carlo, Baskar Ganapathysubramanian
Article
Traditionally, energy recovery from low-solid-content wastes occurs in Continuously Stirred Tank Reactors, whereas Plug Flow Reactors (PFR) are used to treat high-solid-content wastes. In comparison, this study uses a special configuration of anaerobic PFR (AnPFR), consisting of a coiled tubular structure, for energy recovery from a mixture of Food...
Article
Full-text available
Flow sculpting is a powerful method for passive flow control that uses a sequence of bluff-body structures to engineer the structure of inertially flowing microfluidic streams. A variety of cross-sectional flow shapes can be created through this method, offering a new platform for flow manipulation or material fabrication useful in bioengineering,...
Article
Efficient exploration of design spaces is highly sought after in engineering applications. A spectrum of tools has been proposed to deal with the computational difficulties associated with such problems. In the context of our case study, these tools can be broadly classified into optimization and supervised learning approaches. Optimization approac...
Preprint
Design of microparticles which stabilize at the centerline of a channel flow when part of a dilute suspension is examined numerically for moderate Reynolds numbers ($10 \le Re \le 80$). Stability metrics for particles with arbitrary shapes are formulated based on linear-stability theory. Particle shape is parametrized by a compact, Non-Uniform Rati...
Article
Microfluidic flows are traditionally characterized by low flow rates through channels at very small length scales, with the goal of transporting small sample volumes in a predictable manner for biological or chemical analysis, or interrogating physical processes within a highly controlled flow. As the field of microfluidics has matured, its researc...
Article
Full-text available
Standard tissue culture of adherent cells is known to poorly replicate physiology and often entails suspending cells in solution for analysis and sorting, which modulates protein expression and eliminates intercellular connections. To allow adherent culture and processing in flow, we present 3D-shaped hydrogel cell microcarriers, which are designed...
Preprint
Full-text available
Microfluidic devices are utilized to control and direct flow behavior in a wide variety of applications, particularly in medical diagnostics. A particularly popular form of microfluidics -- called inertial microfluidic flow sculpting -- involves placing a sequence of pillars to controllably deform an initial flow field into a desired one. Inertial...
Article
Full-text available
Approaches to abstract and modularize models of fluid flow in microfluidic devices can enable predictive and rational engineering of microfluidic circuits with rapid designer feedback. The shape of co-flowing streams in the inertial flow regime has become of particular importance for new developments in high throughput microscale manufacturing, bio...
Article
Recurrent neural network (RNN) and Long Short-term Memory (LSTM) networks are the common go-to architecture for exploiting sequential information where the output is dependent on a sequence of inputs. However, in most considered problems, the dependencies typically lie in the latent domain which may not be suitable for applications involving the pr...
Article
Full-text available
A new technique for shaping microfluid flow, known as flow sculpting, offers an unprecedented level of passive fluid flow control, with potential breakthrough applications in advancing manufacturing, biology, and chemistry research at the microscale. However, efficiently solving the inverse problem of designing a flow sculpting device for a desired...
Article
Sculpting inertial fluid flow using sequences of pillars is a powerful method for flow control in microfluidic devices. Since its recent debut, flow sculpting has been used in novel manufacturing approaches such as microfiber and microparticle design, cytometry, and biomedical applications. Most flow sculpting applications can be formulated as an i...
Article
Full-text available
Deep learning (DL) became the method of choice in recent years for solving problems ranging from object recognition and speech recognition to robotic perception and human disease prediction. In this paper, we present a hybrid architecture of convolutional neural networks (CNN) and stacked autoencoders (SAE) to learn a sequence of actions that nonli...
Article
Inertial fluid flow deformation around pillars in a microchannel is a new method for controlling fluid flow. Sequences of pillars have been shown to produce a rich phase space with a wide variety of flow transformations. Previous work has successfully demonstrated manual design of pillar sequences to achieve desired transformations of the flow cros...
Article
The ability to control the shape of a flow in a passive microfluidic device enables potential applications in chemical reaction control, particle separations, and complex material fabrication. Recent work has demonstrated the concept of sculpting fluid streams in a microchannel using a set of pillars or other structures that individually deform a f...
Article
High intensity ultrasonic irradiation (sonication) of slurries of Al2O3 nanopowder in an Fe(CO)5/decane mixture produce superparamagnetic gamma-Fe2O3 shells on non-magnetic cores. In this contribution we discuss the effect of the various adjustable parameters (sonication time and intensity, powder loading, and Fe(CO)5:decane ratio) on the dc and ac...
Article
A study of the effects of high intensity ultrasound on MgB2 precursors with different additives to improve pinning properties is reported. Additives were either co-sonicated with boron or mixed into sonicated boron afterwards. Hot isostatic pressure (HIP) was used to form fully dense MgB2 samples from precursors. Analysis of magnetization, microstr...

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