The Second Workshop on SciSoc Agents & LLMs: Agentic AI for Scientific and Societal Advances aims to explore the emerging paradigm of agentic artificial intelligence, where Large Language Models (LLMs) are combined with autonomous agents, tools, memory, and multi-step reasoning to drive scientific discovery and address...
Jia-Yuan Ding, Wei Jin, Carl Yang et al.· Proceedings of the 32nd ACM...· 0 citations
Machine learning (ML) has seen promising developments in materials science, yet its efficacy largely depends on detailed crystal structural data, which are often complex and hard to obtain, limiting their applicability in real-world material synthesis processes. An alternative, using compositional descriptors, offers a...
Namkyeong Lee, Heewoong Noh, Gyoung S. Na et al.· Proceedings of the 32nd ACM...· 0 citations
Machine learning (ML) has seen promising developments in materials science, yet its efficacy largely depends on detailed crystal structural data, which are often complex and hard to obtain, limiting their applicability in real-world material synthesis processes. An alternative, using compositional descriptors, offers a...
Namkyeong Lee, Heewoong Noh, Gyoung S. Na et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
