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    opacity: 0;
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}

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    display: block !important;
    visibility: visible !important;
    opacity: 1 !important;
    z-index: 9999 !important;
}

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    visibility: hidden !important;
    opacity: 0 !important;
    z-index: 10 !important;
}

/* White Background Behind Off-Canvas (Using ::before on Body) */
body::before {
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    position: fixed;
    top: 0;
    left: 0;
    width: 100vw;
    height: 100vh;
    background: rgba(255, 255, 255, 1); /* Solid White */
    opacity: 0;
    visibility: hidden;
    z-index: 9998; /* Just behind Off-Canvas */
    transition: opacity 0.2s linear, visibility 0s linear 0.2s;
}

/* When an Off-Canvas is Open, Show the Background */
body.off-canvas-active::before {
    opacity: 1;
    visibility: visible;
    transition: opacity 0.2s linear;
}
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AI and Materials - ARIX x Fehrmann -

Model-based decision support with an application to mixture design

Part 2 of our webinar series „AI+M – Innovative Materials with Artificial Intelligence“ together with Fehrmann Materials.

Friday, September 30th, 2 pm (CET) 

Designing mixtures, formulations and alloys is a multicriteria optimization problem: Production costs should be small, while at the same time requirements regarding quality and functionality should be met as good as possible. In this talk, mathematical technology will be presented that addresses this challenge in order to provide a transparent decision support in real time. It is based on a model describing correlations between the features and the outputs.

Michael Bortz (PhD in physics in 2003, joined Fraunhofer ITWM in 2009, now head of department “Optimization – Technical processes” and professor for modeling/simulation/optimization in chemical engineering at TU Kaiserslautern).

→ Register here ←