231 citations · 548 across the 16 of their papers we have counts for
17 papers
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations
Dipendra Jha, K. V. L. V. Narayanachari, Ruifeng Zhang +7
Despite the huge advancement in knowledge discovery and data mining techniques, the X-ray diffraction (XRD) analysis process has mostly remained untouched and still involves manual…
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis
Sunwoo Lee, Kai-yuan Hou, Kewei Wang +8
In High Energy Physics (HEP), experimentalists generate large volumes of data that, when analyzed, helps us better understand the fundamental particles and their interactions. This…
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Zijiang Yang, Dipendra Jha, Arindam Paul +3
Microstructural materials design is one of the most important applications of inverse modeling in materials science. Generally speaking, there are two broad modeling paradigms in s…
Building Halo Merger Trees from the Q Continuum Simulation
Esteban Rangel, Nicholas Frontiere, Salman Habib +4
Cosmological N-body simulations rank among the most computationally intensive efforts today. A key challenge is the analysis of structure, substructure, and the merger history for…
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes
Arindam Paul, Mojtaba Mozaffar, Zijiang Yang +4
Additive Manufacturing (AM) is a manufacturing paradigm that builds three-dimensional objects from a computer-aided design model by successively adding material layer by layer. AM…
Improving MPI Collective I/O Performance With Intra-node Request Aggregation
Qiao Kang, Sunwoo Lee, Kai-yuan Hou +4
Two-phase I/O is a well-known strategy for implementing collective MPI-IO functions. It redistributes I/O requests among the calling processes into a form that minimizes the file a…