Junqi Yin Computational Scientist Contact YINJ@ORNL.GOV All Publications Toward an Autonomous Workflow for Single Crystal Neutron Diffraction Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials Language Models for the Prediction of SARS-CoV-2 Inhibitors Stable parallel training of Wasserstein conditional generative adversarial neural networks Learning to Scale the Summit: AI for Science on a Leadership Supercomputer 2021 Operational Assessment - OLCF Anderson Acceleration for Distributed Training of Deep Learning Models... Distributed Training and Optimization of Neural Networks Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks : *Full/Regular Research Paper submission for the symposium CSCI-ISAI: Artificial Intelligence Magnetic properties of CrFeCoNi based high entropy alloys Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary... Inter-Subunit Dynamics Controls Tunnel Formation During the Oxygenation Process in Hemocyanin Hexamers The Role of Hydrophobic Nodes in the Dynamics of Class A β-Lactamases Geometrical-Based Generative Adversarial Network to Enhance Digital Rock Image Quality Dynamic Profiling of β-Coronavirus 3CL Mpro Protease Ligand-Binding Sites Scalable balanced training of conditional generative adversarial neural networks on image data A scalable algorithm for the optimization of neural network architectures Fast and stable deep-learning predictions of material properties for solid solution alloys Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach Data optimization for large batch distributed training of deep neural networks Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19 Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPC Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening Pagination First page « First Previous page ‹â¶Ä¹ Page 1 Current page 2 Page 3 Next page ›â¶Äº Last page Last » Key Links Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Analytics and AI Methods at Scale Group
