Advances in robotic automation, high-performance computing (HPC), and
ar...
Chemistry and materials science are complex. Recently, there have been g...
Machine learning (ML) has become critical for post-acquisition data anal...
A foundational set of findable, accessible, interoperable, and reusable
...
funcX is a distributed function as a service (FaaS) platform that enable...
A concise and measurable set of FAIR (Findable, Accessible, Interoperabl...
Dendritic microstructures are ubiquitous in nature and are the primary
s...
Powerful detectors at modern experimental facilities routinely collect d...
We propose a benchmark to study surrogate model accuracy for protein-lig...
Researchers worldwide are seeking to repurpose existing drugs or discove...
Intermolecular and long-range interactions are central to phenomena as
d...
Flame Spray Pyrolysis (FSP) is a manufacturing technique to mass produce...
The drug discovery process currently employed in the pharmaceutical indu...
This paper introduces Data Stations, a new data architecture that we are...
Researchers across the globe are seeking to rapidly repurpose existing d...
Exploding data volumes and velocities, new computational methods and
pla...
Growing data volumes and velocities are driving exciting new methods acr...
Recent studies illustrate how machine learning (ML) can be used to bypas...
While the Machine Learning (ML) landscape is evolving rapidly, there has...