214 citations · 1.4k across the 34 of their papers we have counts for
7 papers · 1 filter
FAIR for AI: An interdisciplinary and international community building perspective
E. A. Huerta, Ben Blaiszik, L. Catherine Brinson +21
A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with th…
funcX: Federated Function as a Service for Science
Zhuozhao Li, Ryan Chard, Yadu Babuji +9
funcX is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. Unlike centralized FaaS systems, funcX…
Benchmark tests of atom segmentation deep learning models with a consistent dataset
Jingrui Wei, Ben Blaiszik, Aristana Scourtas +2
The information content of atomic resolution scanning transmission electron microscopy (STEM) images can often be reduced to a handful of parameters describing each atomic column,…
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy
Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta +7
A concise and measurable set of FAIR (Findable, Accessible, Interoperable and Reusable) principles for scientific data is transforming the state-of-practice for data management and…
3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization
Jim James, Nathan Pruyne, Tiberiu Stan +6
Dendritic microstructures are ubiquitous in nature and are the primary solidification morphologies in metallic materials. Techniques such as x-ray computed tomography (XCT) have pr…
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences
Rafael Vescovi, Ryan Chard, Nickolaus Saint +10
Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the collection of only interesting subset…
Community Action on FAIR Data will Fuel a Revolution in Materials Research
LC Brinson, LM Bartolo, B Blaiszik +4
Data - arguably the most important product of worldwide materials research investment - are rarely shared. The small and biased proportion of results published are buried in plots…