Search Results for "ionic"

Ionic is an open source mobile app development framework based on Web components that makes it easy to build fast, top quality native and progressive web apps. It uses web technologies that significantly improve design, performance and usability.

...All Konsta UI components come with pixel-perfect native-like iOS and Material Design themes created using official design guidelines. Everything you need for your iOS and Android apps! Konsta UI is mostly designed to be used with "parent" frameworks like Ionic or Framework7. In this case, you use the "parent" framework as your app shell (routing, navigation, state management, native APIs, etc.) and Konsta UI components for inner pages/views UIs. Using it with frameworks like Capacitor and Cordova you can easily create real native apps with native look and feel.

...Swiper, along with other great components, is a part of Framework7, a fully-featured framework for building iOS & Android apps. Swiper is also a default slider component in the Ionic Framework. Swiper doesn't require any JavaScript libraries like jQuery, which makes Swiper much smaller and faster. It can be safely used with libraries such as jQuery, Zepto, jQuery Mobile, etc. By default, Swiper provides 1:1 touch movement interaction, but this ratio can be configured through Swiper settings.

JHipster is a development platform to quickly generate, develop, and deploy modern web applications and microservice architectures. We support many frontend technologies, including Angular, React, and Vue. We even have mobile app support for Ionic and React Native! On the backend, we support Spring Boot (with Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET. For deployment, we embrace cloud native principles with Docker and Kubernetes. Deployment support exists for AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. Our goal is to generate a complete and modern web app or microservice architecture, unifying: A high-performance and robust server-side stack with excellent test coverage; a sleek, modern, mobile-first UI with Angular, React, or Vue + Bootstrap for CSS; and a powerful workflow to build your application with Webpack and Maven or Gradle.

The project focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. Currently, the model takes into account the hard-chain, dispersive, and associative terms of PC-SAFT. Future work on polar and ionic terms is being studied. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS process simulators.