Chemical Physics · Physics
Machine Learning 1- and 2-electron reduced density matrices of polymeric molecules
David Pekker, Chungwen Liang, Sankha Pattanayak, Swagatam Mukhopadhyay
2022-08-11
Materials Science · Physics
Descriptor and Graph-based Molecular Representations in Prediction of Copolymer Properties Using Machine Learning
Elaheh Kazemi-Khasragh, Rocío Mercado, Carlos Gonzalez, Maciej Haranczyk
2025-09-16
Machine Learning · Computer Science
A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility
Zhilong Liang, Zhiwei Li, Shuo Zhou, Yiwen Sun +2
2022-03-01
Machine Learning · Computer Science
A Method for Inferring Polymers Based on Linear Regression and Integer Programming
Ryota Ido, Shengjuan Cao, Jianshen Zhu, Naveed Ahmed Azam +4
2021-09-07
Chemical Physics · Physics
Learning to Make Chemical Predictions: the Interplay of Feature Representation, Data, and Machine Learning Algorithms
Mojtaba Haghighatlari, Jie Li, Farnaz Heidar-Zadeh, Yuchen Liu +2
2020-03-03
Chemical Physics · Physics
Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion
Fabian Jirasek, Rodrigo A. S. Alves, Julie Damay, Robert A. Vandermeulen +5
2020-01-30
Chemical Physics · Physics
Predicting outcomes of catalytic reactions using machine learning
Trevor David Rhone, Robert Hoyt, Christopher R. O'Connor, Matthew M. Montemore +3
2019-08-30
Chemical Physics · Physics
Understanding and improving transferability in machine-learned activation energy predictors
Joe Gilkes, Mark Storr, Reinhard J. Maurer, Scott Habershon
2025-05-02
Materials Science · Physics
Applying machine learning techniques to predict the properties of energetic materials
Daniel C. Elton, Zois Boukouvalas, Mark S. Butrico, Mark D. Fuge +1
2018-06-14
Biomolecules · Quantitative Biology
Predicting the activity of chemical compounds based on machine learning approaches
Do Hoang Tu, Tran Van Lang, Pham Cong Xuyen, Le Mau Long
2024-01-03
Chemical Physics · Physics
Predicting Chemical Reaction Outcomes Based on Electron Movements Using Machine Learning
Shuan Chen, Kye Sung Park, Taewan Kim, Sunkyu Han +1
2025-03-14
Computational Engineering, Finance, and Science · Computer Science
Graph-Network-Based Predictive Modeling for Highly Cross-Linked Polymer Systems
Wonseok Lee, Sanggyu Chong, Jihan Kim
2024-01-15
Machine Learning · Computer Science
Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions
Fabio Capela, Vincent Nouchi, Ruud Van Deursen, Igor V. Tetko +1
2019-10-31
Chemical Physics · Physics
Accurate and efficient structure elucidation from routine one-dimensional NMR spectra using multitask machine learning
Frank Hu, Michael S. Chen, Grant M. Rotskoff, Matthew W. Kanan +1
2024-08-16
Chemical Physics · Physics
Predicting polymerization reactions via transfer learning using chemical language models
Brenda S. Ferrari, Matteo Manica, Ronaldo Giro, Teodoro Laino +1
2023-10-18
Data Analysis, Statistics and Probability · Physics
Machine Learned Particle Detector Simulations
D. Darulis, R. Tyson, D. G. Ireland, D. I. Glazier +2
2022-07-26
Molecular Networks · Quantitative Biology
When Machine Learning Meets Multiscale Modeling in Chemical Reactions
Wuyue Yang, Liangrong Peng, Yi Zhu, Liu Hong
2020-06-02
Molecular Networks · Quantitative Biology
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks
Hector Zenil, Narsis A. Kiani, Ming-Mei Shang, Jesper Tegnér
2018-03-20