Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Last update: Jun 16, 2022

Overview

Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

This is the repository for the paper "Single Red Blood Cell Hydrodynamic Traps Via the Generative Design" submitted to Micromachines journal.

In the paper, the evolutionary approach implemented in GEFEST framework was applied to optimize the structure of geometrically-encoded cell traps.

Experiments folder contains the scripts that run the optimization for the described case. Setup contains the wrapper for the COMSOL simulator and the configuration for the simulation environment. Results folder contains the structure of best obtained configuration.

Owner

Natural Systems Simulation Lab

Natural Systems Simulation Lab in ITMO University

GitHub Repository

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Code for ICMI2020 and ICMI2021 papers: "Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle" and "ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle"

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Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Related tags

Overview

Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Owner

Natural Systems Simulation Lab

Joint Gaussian Graphical Model Estimation: A Survey

Deep learning with dynamic computation graphs in TensorFlow

Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.

Extreme Rotation Estimation using Dense Correlation Volumes

A toolkit for developing and comparing reinforcement learning algorithms.

Riemannian Geometry for Molecular Surface Approximation (RGMolSA)

A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.

LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.

The implemetation of Dynamic Nerual Garments proposed in Siggraph Asia 2021

Python parser for DTED data.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

(Py)TOD: Tensor-based Outlier Detection, A General GPU-Accelerated Framework

Code for ICMI2020 and ICMI2021 papers: "Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle" and "ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle"

(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

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A PyTorch version of You Only Look at One-level Feature object detector

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