Scientific Paper · 2024-10-28
E-Waste Challenges of Generative Artificial Intelligence
Generative AI contributes to growing e-waste, but circular economy strategies could significantly reduce its environmental impact.
ENVIRONMENTAL TOPIC
E-waste and circularity
Electronic waste, reuse, recycling, and circular resource flows.
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Scientific Paper · 2025-04-25
Sustainable AI Meets Feminist African Ethics
This paper advocates for integrating Feminist African Ethics into Sustainable AI discourse to address the environmental and social injustices, particularly affecting African women, arising from AI’s carbon footprint, e-waste, and extractive lifecycles.
Scientific Paper · 2025-04-26
SOLID-MAP: Development of a Materials AccelerationPlatform for High-Entropy Alloys
This paper presents SOLID-MAP, an AI-driven material acceleration platform that integrates active learning, thermodynamic modeling, and high-throughput experimentation to rapidly discover and evaluate high-entropy alloys for energy-relevant applications.
Scientific Paper · 2025-05-09
A Framework to Evaluate Machine Learning Crystal Stability Predictions
Matbench Discovery is a benchmarking framework for machine learning models used in materials discovery, highlighting the importance of task-specific metrics and demonstrating that universal interatomic potentials can effectively pre-screen stable inorganic materials in high-throughput workflows.
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