It is with great sadness that we share the unexpected passing away of our dear colleague and friend, Abdulmonem Obaied, at the age of 38. He leaves behind his wife, Sarah, and their son, Omar, born in July 2024. Abdulmonem was laid to rest on March 19 in Lille, France. He was a brilliant scientist, […]
In Memory of Abdulmonem Obaied Read More »
We are excited to announce the commencement of our “Process Simulation for Decarbonization” project, funded by the European Union and the state of NRW. This initiative aims to enhance our capabilities in modeling mass transport, heat transfer, and reaction kinetics, all essential for predicting complex chemical processes. In keeping with the European spirit, our transformation
Process simulation for decarbonization Read More »
The International Conference on Computer Coupling of Phase Diagrams and Thermochemistry CALPHAD took place from 26 to 31 May in Mannheim, Germany. Of course, we at GTT didn’t want to miss out! GTT-Technologies CEO Moritz to Baben and software expert Florian Tang, together with Bengt Hallstedt from RWTH Aachen University, organised the pre-conference workshop “Software tools
GTT-Technologies at CALPHAD 2024 Read More »
Our report on CALPHAD 2024, including download links for our poster contributions, can be found here. From May 26th to 31th, 2024 the International Conference on Computer Coupling of Phase Diagrams and Thermochemistry CALPHAD will take place in Mannheim, Germany and we are excited to be there! GTT will be represented by the following contributions: Pre-conference
Meet us at CALPHAD 2024! Read More »
How can we accelerate the transformation of the iron and steel industry using materials informatics? Computational thermochemistry is fundamental for the transition to sustainable metallurgy. You need to understand thermodynamics to create process models – or to discover new alloy compositions for advanced engineering applications. We face challenges such as the decarbonization of steel metallurgy
Navigating the chemical space: Sustainable metallurgy through materials informatics Read More »
If you are performing computationally intense calculations, we recommend using ChemApp compared to Equilib, especially when iterating over a lot of conditions. Due to the single threaded nature of ChemApp, each run of ChemApp only employs a single CPU core. Most, if not all current computer systems have multiple CPU that should be employed if
ChemApp for Python – Speeding up Calculations by Parallel Processing Read More »
In order to reduce the CO2 emissions caused by the iron & steel industry, there have been initiatives in the last decades to substitute reductants based on carbon by the use of H2 as a reducing agent. These initiatives go from the direct injection of H2 at the tuyeres of the blast furnace [1, 2]
Constructing a Blast Furnace Diagram with FactSage – Part IV Read More »
Our first “ChemApp for Python” webinar was a fantastic experience for us. We greatly enjoyed the opportunity and extend our sincere thanks to the nearly 100 participants for their valuable contributions. This webinar marked the inception of a series of digital sessions that aim to provide insightful online courses and webinars in the future, and
Webinar: “ChemApp for Python” – The Beginning of an Exciting Journey Read More »
The webinar wrap-up and link to the recording can be found here. If you want to learn how to use FactSage to develop your own process model or for projects involving materials informatics, this is a good opportunity for you! ChemApp for Python is included in FactSage 8.3 for free until August 2024. It provides
ChemApp for Python Webinar Read More »
Welcome to our step-by-step guide on setting up ChemApp for Python and converting equilibrium files into Python-compatible formats! In this blog post, we’ll walk you through the process by our video tutorial, ensuring you have all the information you need to get started with ChemApp for Python and make the most out of it. Setup
