Results 81 to 90 of about 428,274 (251)

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis

Advanced Functional Materials, EarlyView.
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal, Adan Zoabi, Hossam Haick   +2 more
wiley   +1 more source

Versatile Green Transfer of Magnetoelectronics with Loss‐Free Performance and High Adhesion for Interactive Electronics

Advanced Functional Materials, EarlyView.
An environmentally friendly transfer printing method of nm‐thick giant magnetoresistive (GMR) sensors is demonstrated. This method, relying on water and biocompatible polyvinyl alcohol (PVA) polymer without the need of complex treatments, allows transferring thin films to a wide range of biological, organic, and inorganic substrates.
Olha Bezsmertna, Rui Xu, Eduardo Sergio Oliveros Mata, Stanislav Avdoshenko, Clemens Voigt, Sindy Mosch, Mykola Vinnichenko, Denys Makarov   +7 more
wiley   +1 more source

Generating Python Code From Object-Z Specifications [PDF]

International Journal of Software Engineering & Applications (IJSEA), Vol.8, No.4, July 2017, 2018
Object-Z is an object-oriented specification language which extends the Z language with classes, objects, inheritance and polymorphism that can be used to represent the specification of a complex system as collections of objects. There are a number of existing works that mapped Object-Z to C++ and Java programming languages.
arxiv  

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source

Introduction to "RORPack": A Python Software Library for Robust Output Regulation [PDF]

arXiv, 2019
This document contains the mathematical introduction to RORPack - a Python software library for robust output tracking and disturbance rejection for linear PDE systems. The RORPack library is open-source and freely available at https://github.com/lassipau/rorpack/ The package contains functionality for automated construction of robust internal model ...
arxiv  

SOLAX: A Python solver for fermionic quantum systems with neural network support [PDF]

SciPost Phys. Codebases 51 (2025)
Numerical modeling of fermionic many-body quantum systems presents similar challenges across various research domains, necessitating universal tools, including state-of-the-art machine learning techniques. Here, we introduce SOLAX, a Python library designed to compute and analyze fermionic quantum systems using the formalism of second quantization ...
arxiv   +1 more source

The Topology ToolKit

, 2018
This system paper presents the Topology ToolKit (TTK), a software platform designed for topological data analysis in scientific visualization. TTK provides a unified, generic, efficient, and robust implementation of key algorithms for the topological ...
Favelier, Guillaume, Gueunet, Charles, Levine, Joshua A., Michaux, Michael, Tierny, Julien   +4 more
core   +1 more source

Experimentally Validated Design Principles of D‐Block Transition Metal Single‐Atom Non‐Dissociative Chemisorption Solid‐State Hydrogen Storage Materials

Advanced Functional Materials, EarlyView.
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue, Chao Li, Yong Gao, Zhenglong Li, Wen‐Gang Cui, Xinqiang Wang, Guoquan Na, Xiaowei Wang, Yiyang Wan, Mingchang Zhang, Yanxia Liu, Fulai Qi, Chenchen Li, Xu Xue, Jian Miao, Jing Zhang, Xiao Han, Pan Wang, Chang Guo, Xiacui Liu, Mingxia Gao, Wenping Sun, Jian Chen, Zhenhai Xia, Hongge Pan   +24 more
wiley   +1 more source

Decoding Hydrogel Porosity: Advancing the Structural Analysis of Hydrogels for Biomedical Applications

Advanced Healthcare Materials, EarlyView.
Porosity governs transport mechanics in hydrogels, yet characterization in its native state remains challenging. This work harnesses particle tracking to uncover three‐dimensional pore geometric features in polyethylene glycol hydrogels. Measurements in the native state reveal pores characteristics are comparable to those obtained by cryogenic scanning
M. A. Kristine Tolentino, Eric Y. Du, Giulia Silvani, Elvis Pandzic, Kristopher A. Kilian, J. Justin Gooding   +5 more
wiley   +1 more source

API design for machine learning software: experiences from the scikit-learn project [PDF]

, 2013
Scikit-learn is an increasingly popular machine learning li- brary. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts.
Blondel, Mathieu, Buitinck, Lars, Gramfort, Alexandre, Grisel, Olivier, Grobler, Jaques, Holt, Brian, Joly, Arnaud, Layton, Robert, Louppe, Gilles, Mueller, Andreas, Niculae, Vlad, Pedregosa, Fabian, Prettenhofer, Peter, Vanderplas, Jake, Varoquaux, Gaël   +14 more
core   +3 more sources