Solar–thermal water evaporation: a review Y Pang, J Zhang, R Ma, Z Qu, E Lee, T Luo ACS Energy Letters 5 (2), 437-456, 2020 | 267 | 2020 |
PI1M: a benchmark database for polymer informatics R Ma, T Luo Journal of Chemical Information and Modeling 60 (10), 4684-4690, 2020 | 111 | 2020 |
Transfer learning study of gas adsorption in metal–organic frameworks R Ma, YJ Colon, T Luo ACS Applied Materials & Interfaces 12 (30), 34041-34048, 2020 | 71 | 2020 |
Evaluating polymer representations via quantifying structure–property relationships R Ma, Z Liu, Q Zhang, Z Liu, T Luo Journal of chemical information and modeling 59 (7), 3110-3119, 2019 | 55 | 2019 |
Exploring High Thermal Conductivity Amorphous Polymers Using Reinforcement Learning M Ruimin, Z Hanfeng, L Tengfei ACS Applied Materials & Interfaces 14 (13), 15587–15598, 2022 | 37 | 2022 |
Origin of Hydrophilic Surface Functionalization-Induced Thermal Conductance Enhancement across Solid–Water Interfaces D Huang, R Ma, T Zhang, T Luo ACS applied materials & interfaces 10 (33), 28159-28165, 2018 | 37 | 2018 |
Determining influential descriptors for polymer chain conformation based on empirical force-fields and molecular dynamics simulations R Ma, D Huang, T Zhang, T Luo Chemical Physics Letters 704, 49-54, 2018 | 34 | 2018 |
Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations R Ma, H Zhang, J Xu, L Sun, Y Hayashi, R Yoshida, J Shiomi, J Wang, ... Materials Today Physics 28, 100850, 2022 | 33 | 2022 |
Impact of surface and pore characteristics on fatigue life of laser powder bed fusion Ti–6Al–4V alloy described by neural network models S Moon, R Ma, R Attardo, C Tomonto, M Nordin, P Wheelock, M Glavicic, ... Scientific reports 11 (1), 20424, 2021 | 32 | 2021 |
Role of molecular polarity in thermal transport of boron nitride–organic molecule composites R Ma, X Wan, T Zhang, N Yang, T Luo ACS omega 3 (10), 12530-12534, 2018 | 31 | 2018 |
Thermal conductivity of polyelectrolytes with different counterions X Wei, R Ma, T Luo The Journal of Physical Chemistry C 124 (8), 4483-4488, 2020 | 22 | 2020 |
Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review W Yanlin, T Shi, M Ruimin, Z Ibrahim, W Yanjie, P Yi Computational and Structural Biotechnology 20, 6149-6162, 2022 | 12* | 2022 |
Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder R Ma, R Xie, Y Wang, J Meng, Y Wei, W Xi, Y Pan arXiv preprint arXiv:2307.00976, 2023 | 8 | 2023 |
Data Augmentation Study in Structural Magnetic Resonance Imaging Based Autism Spectrum Disorder Classification 马瑞民, 谢锐涛, 黄莹, 郗文辉, 魏彦杰, 潘毅 Journal of Integration Technology 12 (6), 33-42, 2023 | 2 | 2023 |
Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI R Ma, Y Wang, Y Wei, Y Pan arXiv preprint arXiv:2206.05052, 2022 | 2 | 2022 |
Interfacial Thermal Transport in Boron Nitride-Polymer Nanocomposite R Ma, X Wan, T Zhang, N Yang, T Luo arXiv preprint arXiv:1711.11201, 2017 | 2 | 2017 |
Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder R Ma, R Xie, Y Wang, J Meng, Y Wei, Y Cai, W Xi, Y Pan Big Data Mining and Analytics 7 (3), 781-793, 2024 | | 2024 |
Distinct Neurodevelopmental Patterns and Intermediate Integration-Based Predictive Modeling in Autism Y Wang, S Ma, R Ma, L Xiao, J Li, S Tang, Y Wei, Y Pan | | 2024 |
Distinct Neurodevelopmental Patterns and Intermediate Integration-Based Predictive Modeling in Autism Spectral Disorder Y Wang, S Ma, R Ma, L Xiao, S Tang, Y Wei, Y Pan bioRxiv, 2023.06. 26.546426, 2023 | | 2023 |
Polymer Design Via Data-Driven Approaches R Ma University of Notre Dame, 2021 | | 2021 |