Results 111 to 120 of about 952,076 (327)

cij: A Python code for quasiharmonic thermoelasticity [PDF]

open access: green, 2021
Chenxing Luo   +5 more
openalex   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel   +6 more
wiley   +1 more source

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

open access: yes, 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   +14 more
core   +3 more sources

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

open access: yesAdvanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir   +8 more
wiley   +1 more source

Langerian Socio-Cognitive Approach to Learning in Universities: A Scoping Literature Review

open access: yesВопросы образования
Background:  Universities emphasize the importance of students’ mental health, engagement, and soft skills, such as critical thinking, communication, collaboration, creativity, and self-management.
Aleksandra Bordunos   +2 more
doaj   +1 more source

PCSIM: a parallel simulation environment for neural circuits fully integrated with Python

open access: yesFrontiers in Neuroinformatics, 2009
The Parallel Circuit SIMulator (PCSIM) is a software package for simulation of neural circuits. It is primarily designed for distributed simulation of large scale networks of spiking point neurons. Although its computational core is written in C++, PCSIM'
Dejan Pecevski   +2 more
doaj   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

open access: yesAdvanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu   +5 more
wiley   +1 more source

Development of a library information management system

open access: yesИзвестия Томского политехнического университета: Промышленная кибернетика
Under limited resources, developing a Library Information System presents a pertinent challenge for many educational institutions and libraries. This article describes the implementation of a project to create a functional and efficient system capable of
Semen M. Levin, Valerya A. Zabavnova
doaj   +1 more source

CoClust: A Python Package for Co-Clustering

open access: yesJournal of Statistical Software, 2019
Co-clustering (also known as biclustering), is an important extension of cluster analysis since it allows to simultaneously group objects and features in a matrix, resulting in row and column clusters that are both more accurate and easier to interpret ...
François Role   +2 more
doaj   +1 more source

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks [PDF]

open access: yes, 2017
auDeep is a Python toolkit for deep unsupervised representation learning from acoustic data. It is based on a recurrent sequence to sequence autoencoder approach which can learn representations of time series data by taking into account their temporal ...
Amiriparian, Shahin   +4 more
core   +1 more source

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