Yuyang Wang

According to our database, Yuyang Wang authored at least 17 papers between 2021 and 2023.

Collaborative distances:

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

2023

Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization.

Yuyang Wang, Kenji Shimada, Amir Barati Farimani

J. Comput. Des. Eng., July, 2023

Neural Network Predicts Ion Concentration Profiles under Nanoconfinement.

Zhonglin Cao, Yuyang Wang, Cooper Lorsung, Amir Barati Farimani

CoRR, 2023

Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials.

Yuyang Wang, Changwen Xu, Zijie Li, Amir Barati Farimani

CoRR, 2023

2022

AugLiChem: data augmentation library of chemical structures for machine learning.

Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani

Mach. Learn. Sci. Technol., December, 2022

Molecular contrastive learning of representations via graph neural networks.

Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani

Nat. Mach. Intell., 2022

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast.

Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani

J. Chem. Inf. Model., 2022

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction.

Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani

CoRR, 2022

Predicting CO₂ Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks.

Yue Jian, Yuyang Wang, Amir Barati Farimani

CoRR, 2022

Graph Neural Networks for Molecules.

Yuyang Wang, Zijie Li, Amir Barati Farimani

CoRR, 2022

TransPolymer: a Transformer-based Language Model for Polymer Property Predictions.

Changwen Xu, Yuyang Wang, Amir Barati Farimani

CoRR, 2022

Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction.

Rishikesh Magar, Yuyang Wang, Amir Barati Farimani

CoRR, 2022

2021

Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy.

Junwoong Yoon, Zhonglin Cao, Rajesh K. Raju, Yuyang Wang, Robert Burnley, Andrew J. Gellman, Amir Barati Farimani, Zachary W. Ulissi

Mach. Learn. Sci. Technol., 2021

AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning.

Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani

CoRR, 2021

MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks.

Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani

CoRR, 2021

Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination.

Yuyang Wang, Zhonglin Cao, Amir Barati Farimani

CoRR, 2021

Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization.

Yuyang Wang, Kenji Shimada, Amir Barati Farimani

CoRR, 2021

Adversarially Robust Imitation Learning.

Jianren Wang, Ziwen Zhuang, Yuyang Wang, Hang Zhao

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021