42 citations · 72 across the 6 of their papers we have counts for
6 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…
Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection
Dipendra Jha, Ata Mahjoubfar, Anupama Joshi
On-Shelf Availability (OSA) of products in retail stores is a critical business criterion in the fast moving consumer goods and retails sector. When a product is out-of-stock (OOS)…
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…
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
Dipendra Jha, Logan Ward, Zijiang Yang +5
Materials discovery is crucial for making scientific advances in many domains. Collections of data from experiments and first-principle computations have spurred interest in applyi…
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening
Arindam Paul, Dipendra Jha, Reda Al-Bahrani +3
Organic Solar Cells are a promising technology for solving the clean energy crisis in the world. However, generating candidate chemical compounds for solar cells is a time-consumin…
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations
Arindam Paul, Dipendra Jha, Reda Al-Bahrani +3
SMILES is a linear representation of chemical structures which encodes the connection table, and the stereochemistry of a molecule as a line of text with a grammar structure denoti…