12 citations · 17 across the 5 of their papers we have counts for
5 papers
A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images
Jennifer D'Souza, Fahad Ahmed, Cecilia Andrea Bustamante Andrade +9
Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and multimodal AI systems to retrieve and interpret. The ALD/E-Imag…
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
Improving atomic force microscopy structure discovery via style-translation
Jie Huang, Niko Oinonen, Fabio Priante +4
Atomic force microscopy (AFM) is a key tool for characterising nanoscale structures, with functionalised tips now offering detailed images of the atomic structure. In parallel, AFM…
Accelerated lignocellulosic molecule adsorption structure determination
Joakim S. Jestilä, Nian Wu, Fabio Priante +1
Here, we present a study combining Bayesian optimisation structural inference with the machine learning interatomic potential NequIP to accelerate and enable the study of the adsor…
Structure discovery in Atomic Force Microscopy imaging of ice
F. Priante, N. Oinonen, Y. Tian +6
The interaction of water with surfaces is crucially important in a wide range of natural and technological settings. In particular, at low temperatures, unveiling the atomistic str…