6 citations · 9 across the 3 of their papers we have counts for
4 papers
Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities
Kevin Cruse, Amalie Trewartha, Sanghoon Lee +6
Gold nanoparticles are highly desired for a range of technological applications due to their tunable properties, which are dictated by the size and shape of the constituent particl…
Dataset of gold nanoparticle sizes and morphologies extracted from literature-mined microscopy images
Akshay Subramanian, Kevin Cruse, Amalie Trewartha +3
The factors controlling the size and morphology of nanoparticles have so far been poorly understood. Data-driven techniques are an exciting avenue to explore this field through the…
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
Amalie Trewartha, John Dagdelen, Haoyan Huo +8
The ongoing COVID-19 pandemic has had far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 res…
A critical examination of compound stability predictions from machine-learned formation energies
Christopher J. Bartel, Amalie Trewartha, Qi Wang +3
Machine learning has emerged as a novel tool for the efficient prediction of materials properties, and claims have been made that machine-learned models for the formation energy of…