Description
Summary talks about sustainable computing efforts in the different disciplines represented at the conference.
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Jeroen Dobbelaere (Institute of Science and Technology Austria)5/4/26, 2:30 PMDiscipline Summary
Experimental research increasingly relies on computing to analyze data, model systems, and apply AI, expanding its role across all scientific disciplines. This shift has driven a surge in demand for computational power, alongside higher energy use and material consumption, compounding the already significant environmental footprint of experimental research.
To address this, a student-driven...
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Dr Nicholas Souter (University of Sussex)5/4/26, 2:50 PMDiscipline Summary
We have measured and provided recommendations for reducing the carbon footprint of functional magnetic resonance imaging (fMRI) research. In a review paper, we provided ten recommendations for green neuroimaging computing, from the stage of analysis planning through to data dissemination. In empirical studies, we used carbon tracking tools to estimate the carbon footprint of widely used fMRI...
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Caterina Doglioni (University of Manchester, UK), Caterina Doglioni (The University of Manchester (GB))5/4/26, 3:10 PMDiscipline Summary
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Jelle Vekeman (University of Antwerp)5/4/26, 3:30 PMDiscipline Summary
As molecular simulations increase in scale, the environmental cost of computational chemistry is becoming harder to ignore. High‑accuracy quantum methods remain too expensive for routine large‑scale use, while empirical force fields trade fidelity for speed. Machine learning potentials (MLPs) offer a middle ground, yet their computational and energy demands remain significant, especially for...
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5/4/26, 3:50 PMDiscipline Summary