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

7 July 2019

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

8 / 8 papers shown

Title
Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models Wenqi Pei Hailing Xu Hengyuan Zhao Shizheng Hou Han Chen Zining Zhang Pingyi Luo Bingsheng He 44 0 0 22 Mar 2025
Out-of-distribution materials property prediction using adversarial learning based fine-tuning Qinyang Li Nicholas Miklaucic Jianjun Hu OODD AAML 18 0 0 17 Aug 2024
A Survey on Employing Large Language Models for Text-to-SQL Tasks Liang Shi Zhengju Tang Nan Zhang Xiaotong Zhang Zhi Yang 34 19 0 21 Jul 2024
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning Ulrik Friis-Jensen Frederik L. Johansen A. Anker Erik B. Dam Kirsten M. Ø. Jensen Raghavendra Selvan AI4CE 40 3 0 20 Feb 2024
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction Yu-Ching Lin Keqiang Yan Youzhi Luo Yi Liu Xiaoning Qian Shuiwang Ji 66 33 0 12 Jun 2023
Periodic Graph Transformers for Crystal Material Property Prediction Keqiang Yan Yi Liu Yu-Ching Lin Shuiwang Ji AI4TS 88 84 0 23 Sep 2022
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering Lipichanda Goswami Manoj Deka Mohendra Roy AI4CE 37 19 0 15 Sep 2022
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes Arindam Paul M. Mozaffar Zijiang Yang W. Liao A. Choudhary Jian Cao Ankit Agrawal AI4CE 13 51 0 28 Jul 2019