[HTML][HTML] Computational study of inertial migration of prolate particles in a straight rectangular channel

G Lauricella, J Zhou, Q Luan, I Papautsky, Z Peng - Physics of Fluids, 2022 - pubs.aip.org
Inertial migration of spherical particles has been investigated extensively using experiments,
theory, and computational modeling. Yet, a systematic investigation of the effect of particle …

Revisiting the problem of learning long-term dependencies in recurrent neural networks

L Johnston, V Patel, Y Cui, P Balaprakash - Neural Networks, 2025 - Elsevier
Recurrent neural networks (RNNs) are an important class of models for learning sequential
behavior. However, training RNNs to learn long-term dependencies is a tremendously …

Accelerating Application Bulk Synchronous Writes in HPC Environments

A Khan, C Zimmer, S Atchley, R Miller, S Oral… - Proceedings of the …, 2024 - dl.acm.org
High-bandwidth storage tiers are becoming more common for their capability to absorb high-
rate, bursty I/Os. Notably, the designs of these fast storage tiers differ from system to system …

Learning Sequential Patterns with Recurrent Neural Networks

L Johnston - 2024 - search.proquest.com
The central theme of this dissertation investigates the question,“how do recurrent neural
networks (RNNs) learn?" We analyze this question empirically, where data was collected …

Accelerating Application Bulk Synchronous Writes in HPC Environments

C Zimmer, SLC Atchley, R Miller, S Oral, F Wang - 2024 - osti.gov
High-bandwidth storage tiers are becoming more common for their capability to absorb high-
rate, bursty I/Os. Notably, the designs of these fast storage tiers differ from system to system …

An Asynchronous Ensemble-Averaging Approach to CMFD Source Acceleration: Rearchitecting Monte Carlo Reactor Simulation Paradigms for the Exasacle …

S Kumar - 2021 - dspace.mit.edu
The safe and reliable operation of a nuclear power plant requires a meticulous
understanding of the various physics phenomena at play within the reactor core. Monte …