research
∙
11/08/2022
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations
Despite the huge advancement in knowledge discovery and data mining tech...
share
research
∙
05/02/2022
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis
In High Energy Physics (HEP), experimentalists generate large volumes of...
research
∙
01/26/2021
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Microstructural materials design is one of the most important applicatio...
research
∙
08/19/2020
Building Halo Merger Trees from the Q Continuum Simulation
Cosmological N-body simulations rank among the most computationally inte...
research
∙
07/29/2019
Improving MPI Collective I/O Performance With Intra-node Request Aggregation
Two-phase I/O is a well-known strategy for implementing collective MPI-I...
research
∙
07/28/2019
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes
Additive Manufacturing (AM) is a manufacturing paradigm that builds thre...
research
∙
07/07/2019
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
Materials discovery is crucial for making scientific advances in many do...
research
∙
03/07/2019
Transfer Learning Using Ensemble Neural Nets for Organic Solar Cell Screening
Organic Solar Cells are a promising technology for solving the clean ene...
research
∙
11/14/2018
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations
SMILES is a linear representation of chemical structures which encodes t...
research
∙
06/20/2016
A New Parallel Algorithm for Two-Pass Connected Component Labeling
Connected Component Labeling (CCL) is an important step in pattern recog...
research
∙
02/11/2015