9 citations · 37 across the 6 of their papers we have counts for
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cs.AI2025★ 9 cited
Sparks: Multi-Agent Artificial Intelligence Model Discovers Protein Design Principles
Alireza Ghafarollahi, Markus J. Buehler
Advances in artificial intelligence (AI) promise autonomous discovery, yet most systems still resurface knowledge latent in their training data. We present Sparks, a multi-modal mu…
cs.AI2024★ 8 cited
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
Alireza Ghafarollahi, Markus J. Buehler
A key challenge in artificial intelligence is the creation of systems capable of autonomously advancing scientific understanding by exploring novel domains, identifying complex pat…
cs.AI2024★ 9 cited
AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence
Alireza Ghafarollahi, Markus J. Buehler
The design of alloys is a multi-scale problem that requires a holistic approach that involves retrieving relevant knowledge, applying advanced computational methods, conducting exp…