15 citations · 24 across the 4 of their papers we have counts for
4 papers
Foundational Large Language Models for Materials Research
Vaibhav Mishra, Somaditya Singh, Dhruv Ahlawat +7
Materials discovery and development are critical for addressing global challenges. Yet, the exponential growth in materials science literature comprising vast amounts of textual da…
Autonomous Microscopy Experiments through Large Language Model Agents
Indrajeet Mandal, Jitendra Soni, Mohd Zaki +5
Large language models (LLMs) are revolutionizing self driving laboratories (SDLs) for materials research, promising unprecedented acceleration of scientific discovery. However, cur…
Probing the limitations of multimodal language models for chemistry and materials research
Nawaf Alampara, Mara Schilling-Wilhelmi, Martiño Ríos-García +5
Recent advancements in artificial intelligence have sparked interest in scientific assistants that could support researchers across the full spectrum of scientific workflows, from…
Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images
Mohd Zaki, Siddhant Sharma, Sunil Kumar Gurjar +3
Cement is the most used construction material. The performance of cement hydrate depends on the constituent phases, viz. alite, belite, aluminate, and ferrites present in the cemen…