1 citations · 1 across the 2 of their papers we have counts for
5 papers
AI scientists produce results without reasoning scientifically
Martiño RÃos-GarcÃa, Nawaf Alampara, Chandan Gupta +5
Large language model (LLM)-based systems are increasingly deployed to conduct scientific research autonomously, yet whether their reasoning adheres to the epistemic norms that make…
Natural Language Embeddings of Synthesis and Testing conditions Enhance Glass Dissolution Prediction
Sajid Mannan, K. Sidharth Nambudiripad, Indrajeet Mandal +2
Long-term chemical durability of glass, crucial for immobilizing nuclear waste, is governed by glass properties such as composition, surface geometry, as well as external factors l…
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…
Reactive Glass Metal Interaction under Ambient Conditions Enables Surface Modification of Gold Nanoislands
Sinorul Haque, Shweta R. Keshri, G. Ganesh +13
Stabilizing gold nanoparticles with tunable surface composition via reactive metal support interactions under ambient conditions remains a significant challenge. We discovered that…
Probing the limitations of multimodal language models for chemistry and materials research
Nawaf Alampara, Mara Schilling-Wilhelmi, Martiño RÃos-GarcÃa +5
Recent advancements in artificial intelligence have sparked interest in scientific assistants that could support researchers across the full spectrum of scientific workflows, from…