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This is a list of software used to simulate the material and energy balances of chemical process plants. Applications for this include design studies, engineering studies, design audits, debottlenecking studies, control system check-out, process simulation, dynamic simulation, operator training simulators, pipeline management systems, production management systems, digital twins.
Aspen Plus, Aspen HYSYS, ChemCad and MATLAB, PRO are the commonly used process simulators for modeling, simulation and optimization of a distillation process in the chemical industries. [ 1 ] [ 2 ] Distillation is the technique of preferential separation of the more volatile components from the less volatile ones in a feed followed by ...
Aspen HYSYS (or simply HYSYS) is a chemical process simulator currently developed by AspenTech used to mathematically model chemical processes, from unit operations to full chemical plants and refineries.
The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests. [56]
Aspen Technology, Inc., known as AspenTech, is a provider of software and services for the process industries headquartered in Bedford, Massachusetts. AspenTech has 35 offices globally. AspenTech has 35 offices globally.
Codelobster, a cross-platform IDE for various languages, including Python. EasyEclipse, an open source IDE for Python and other languages. Eclipse,with the Pydev plug-in. Eclipse supports many other languages as well. Emacs, with the built-in python-mode. [1] Eric, an IDE for Python and Ruby; Geany, IDE for Python development and other languages.
Jupyter Notebooks can execute cells of Python code, retaining the context between the execution of cells, which usually facilitates interactive data exploration. [5] Elixir is a high-level functional programming language based on the Erlang VM. Its machine-learning ecosystem includes Nx for computing on CPUs and GPUs, Bumblebee and Axon for ...
The input to these programs is usually a simple text file written in a code-specific format with a set of code-specific keywords. [1] [2] [3] NanoLanguage was introduced by Atomistix A/S as an interface to Atomistix ToolKit (version 2.1) in order to provide a more flexible input format. A NanoLanguage script (or input file) is just a Python ...