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Farshud Sorourifar

Showing results (1-10 of 5) with videos related to

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The Journal of Physical Chemistry Letters|February 1, 2023
Predicting the Solubility of Organic Energy Storage Materials Based on Functional Group Identity and Substitution PatternMadison R Tuttle, Emma M Brackman, Farshud Sorourifar, et al.
Industrial & Engineering Chemistry Research|January 19, 2026
Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular DesignMadhav R Muthyala, Farshud Sorourifar, Tianhong Tan, et al.
The Journal of Physical Chemistry. B|May 17, 2026
Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous ElectrolytesAbigail M Houser, Madhav R Muthyala, Farshud Sorourifar, et al.
Journal of the American Chemical Society|November 1, 2024
Zero-Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine LearningJaehyun Park, Farshud Sorourifar, Madhav R Muthyala, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 2, 2025
Surrogate optimization of variational quantum circuitsErik J Gustafson, Juha Tiihonen, Diana Chamaki, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry Letters|February 1, 2023
Predicting the Solubility of Organic Energy Storage Materials Based on Functional Group Identity and Substitution PatternMadison R Tuttle, Emma M Brackman, Farshud Sorourifar, et al.
Industrial & Engineering Chemistry Research|January 19, 2026
Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular DesignMadhav R Muthyala, Farshud Sorourifar, Tianhong Tan, et al.
The Journal of Physical Chemistry. B|May 17, 2026
Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous ElectrolytesAbigail M Houser, Madhav R Muthyala, Farshud Sorourifar, et al.
Journal of the American Chemical Society|November 1, 2024
Zero-Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine LearningJaehyun Park, Farshud Sorourifar, Madhav R Muthyala, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 2, 2025
Surrogate optimization of variational quantum circuitsErik J Gustafson, Juha Tiihonen, Diana Chamaki, et al.
Pageof 1