Muhammed Nur Talha Kilic

According to our database, Muhammed Nur Talha Kilic authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations.

Alfred Yan, Muhammed Nur Talha Kilic, Gert Nolze, Ankit Agrawal, Alok N. Choudhary, Roberto dos Reis, Vinayak P. Dravid

CoRR, April, 2025

2024

Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks.

Vishu Gupta, Youjia Li, Alec Peltekian, Muhammed Nur Talha Kilic, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal

J. Cheminformatics, December, 2024

Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing.

Kewei Wang, Yuwei Mao, Mahmudul Hasan, Md Maruf Billah, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal

Proceedings of the International Conference on Machine Learning and Applications, 2024

Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder.

Muhammed Nur Talha Kilic, Yuwei Mao, Vishu Gupta, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal

Proceedings of the International Conference on Machine Learning and Applications, 2024

Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach.

Muhammed Nur Talha Kilic, Vishu Gupta, Yuwei Mao, Kewei Wang, Alec Peltekian, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction.

Yuwei Mao, Mahmudul Hasan, Claire Songhyun Lee, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal

Proceedings of the International Conference on Machine Learning and Applications, 2023