Mohammadamin Tavakoli
Orcid: 0000-0002-8833-3891
According to our database1,
Mohammadamin Tavakoli
authored at least 10 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2020
2021
2022
2023
2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
J. Chem. Inf. Model., 2024
Unraveling the Molecular Magic: AI Insights on the Formation of Extraordinarily Stretchable Hydrogels.
CoRR, 2024
2023
J. Chem. Inf. Model., February, 2023
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity.
J. Chem. Inf. Model., 2022
Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission.
CoRR, 2022
CoRR, 2022
2021
SPLASH: Learnable activation functions for improving accuracy and adversarial robustness.
Neural Networks, 2021
2020
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020