activity
20232026
most citedProbing the limitations of multimodal language models for chemistry and materials research

6 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

AI scientists produce results without reasoning scientifically

Martiño Ríos-García, 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…

cond-mat.mtrl-sci2026★ 1 cited

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…

cond-mat.mtrl-sci2025

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…

cs.CY2025★ 3 cited

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…

cs.LG2024★ 6 cited

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…

eess.IV2023★ 5 cited

Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Muhammad Asad, Helena Williams, Indrajeet Mandal +4

Existing interactive segmentation methods leverage automatic segmentation and user interactions for label refinement, significantly reducing the annotation workload compared to man…

eess.IV2023★ 1 cited

VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray

Yao Chen, Yuanhan Mo, Aimee Readie +5

Reliable vertebrae annotations are key to perform analysis of spinal X-ray images. However, obtaining annotation of vertebrae from those images is usually carried out manually due…