Answering multi-hop reasoning questions requires retrieving and synthesi...
The Dynamic PicoProbe at Argonne National Laboratory is undergoing upgra...
Advances in robotic automation, high-performance computing (HPC), and
ar...
Multi-Level Intermediate Representation (MLIR) is a novel compiler
infra...
It is generally desirable for high-performance computing (HPC) applicati...
The increasing volume and velocity of science data necessitate the frequ...
We introduce GHP-MOFassemble, a Generative artificial intelligence (AI),...
Chemistry and materials science are complex. Recently, there have been g...
Advances in networks, accelerators, and cloud services encourage program...
Pooling and sharing data increases and distributes its value. But since ...
Federated learning has shown enormous promise as a way of training ML mo...
Applications that fuse machine learning and simulation can benefit from ...
In many experiment-driven scientific domains, such as high-energy physic...
Clouds play a critical role in the Earth's energy budget and their poten...
A foundational set of findable, accessible, interoperable, and reusable
...
We present a framework for cloud characterization that leverages modern
...
Clouds play an important role in the Earth's energy budget and their beh...
funcX is a distributed function as a service (FaaS) platform that enable...
Computed Tomography (CT) is an imaging technique where information about...
Research process automation–the reliable, efficient, and reproducible
ex...
On August 2, 2021 a group of concerned scientists and US funding agency ...
A concise and measurable set of FAIR (Findable, Accessible, Interoperabl...
Transformer-based masked language models trained on general corpora, suc...
Parsl is a parallel programming library for Python that aims to make it ...
Advancements in scientific instrument sensors and connected devices prov...
Dendritic microstructures are ubiquitous in nature and are the primary
s...
Extracting actionable information from data sources such as the Linac
Co...
Powerful detectors at modern experimental facilities routinely collect d...
With the widespread availability of high-speed networks, it becomes feas...
Despite much creative work on methods and tools, reproducibility – the
a...
The broad sharing of research data is widely viewed as of critical impor...
Scientific applications that involve simulation ensembles can be acceler...
The applications being developed within the U.S. Exascale Computing Proj...
Kronecker-factored Approximate Curvature (K-FAC) has recently been shown...
Supercomputer FCFS-based scheduling policies result in many transient id...
Extremely high data rates at modern synchrotron and X-ray free-electron
...
Rapid growth in scientific data and a widening gap between computational...
The nature of computation and its role in our lives have been transforme...
The use of ML methods to dynamically steer ensemble-based simulations
pr...
Increasing data volumes in scientific experiments necessitate the use of...
Advanced satellite-born remote sensing instruments produce high-resoluti...
This study develops a neural network-based approach for emulating
high-r...
Researchers worldwide are seeking to repurpose existing drugs or discove...
High Performance Computing (HPC), Artificial Intelligence (AI)/Machine
L...
The use of computational simulation is by now so pervasive in society th...
Intermolecular and long-range interactions are central to phenomena as
d...
We present the Feature Tracking Kit (FTK), a framework that simplifies,
...
Flame Spray Pyrolysis (FSP) is a manufacturing technique to mass produce...
The drug discovery process currently employed in the pharmaceutical indu...
Modern science and engineering computing environments often feature stor...