Dipendra Jha

发表

Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

Yuksel C. Yabansu, A. Choudhary, W. Liao, 2019, Acta Materialia.

ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

Wei-keng Liao, Ankit Agrawal, Alok Choudhary, 2018, Scientific Reports.

Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection

A. Mahjoubfar, Dipendra Jha, Anupama Joshi, 2022, ArXiv.

Moving closer to experimental level materials property prediction using AI

W. Liao, Ankit Agrawal, Dipendra Jha, 2022, Scientific Reports.

An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations

Justin K. Liao, W. Liao, D. Keane, 2022, ArXiv.

Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks

Alok Choudhary, Ankit Agrawal, Reda Al-Bahrani, 2018, Microscopy and Microanalysis.

ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

Logan T. Ward, A. Choudhary, W. Liao, 2018, Scientific Reports.

CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations pdf

Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal, 2018, ArXiv.

Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

Wei-keng Liao, Alok Choudhary, Ankit Agrawal, 2019, Nature Communications.

Enabling deeper learning on big data for materials informatics applications

Logan T. Ward, Ian T. Foster, A. Choudhary, 2021, Scientific Reports.

IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery

Wei-keng Liao, Ankit Agrawal, Ian Foster, 2019, KDD.

Moving closer to experimental level materials property prediction using AI

W. Liao, Dipendra Jha, Vishu Gupta, 2022, Scientific Reports.

Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design

W. Liao, Zijiang Yang, Dipendra Jha, 2022, Integrating materials and manufacturing innovation.

A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

Wei-keng Liao, Alok Choudhary, Ankit Agrawal, 2021, ArXiv.

Logan T. Ward, W. Liao, C. Wolverton, 2019, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

PinterNet: A thematic label curation tool for large image datasets

Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal, 2016, 2016 IEEE International Conference on Big Data (Big Data).

eXploring Xfinity - A First Look at Provider-Enabled Community Networks

John P. Rula, Fabián E. Bustamante, Dipendra K. Jha, 2016, PAM.

Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication

Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal, 2017, 2017 IEEE 24th International Conference on High Performance Computing (HiPC).

Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks

A. Choudhary, W. Liao, Ankit Agrawal, 2018, Microscopy and Microanalysis.