63 citations · 102 across the 6 of their papers we have counts for
6 papers
AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories
Yuxing Fei, Bernardus Rendy, Rishi Kumar +10
The recent advent of autonomous laboratories, coupled with algorithms for high-throughput screening and active learning, promises to accelerate materials discovery and innovation.…
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
Tanjin He, Haoyan Huo, Christopher J. Bartel +3
Synthesis prediction is a key accelerator for the rapid design of advanced materials. However, determining synthesis variables such as the choice of precursor materials is challeng…
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…
ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols
Zheren Wang, Kevin Cruse, Yuxing Fei +7
Applying AI power to predict syntheses of novel materials requires high-quality, large-scale datasets. Extraction of synthesis information from scientific publications is still cha…
Dataset of Solution-based Inorganic Materials Synthesis Recipes Extracted from the Scientific Literature
Zheren Wang, Olga Kononova, Kevin Cruse +8
The development of a materials synthesis route is usually based on heuristics and experience. A possible new approach would be to apply data-driven approaches to learn the patterns…
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…