- Jessica G. Freeze, H. Ray Kelly, Victor S. Batista, “Search for Catalysts by Inverse Design: Artificial Intelligence, Mountain Climbers, and Alchemists”, Chem. Rev., 119, no. 11, 2019, 6595
- Mikito Fujinami, Junji Seino, Takumi Nukazawa, Shintaro Ishida, Takeaki Iwamoto, Hiromi Nakai, “Virtual Reaction Condition Optimization based on Machine Learning for a Small Number of Experiments in High-dimensional Continuous and Discrete Variables”, Chem. Lett., 48, no. 8, 2019, 961
- O. Voznyuk, Bethany Jochim, M. Zohrabi, Adam Broin, R. Averin, K. D. Carnes, I. Ben-Itzhak, E. Wells, “Adaptive strong-field control of vibrational population in NO2+”, The Journal of Chemical Physics, 151, no. 12, 2019, 124310
- Maria Elovenkova, Alexander Pechen, “Control Landscape of Measurement-Assisted Transition Probability for a Three-Level Quantum System with Dynamical Symmetry”, Quantum Reports, 5, no. 3, 2023, 526
- Katharine W. Moore Tibbetts, Richard Li, István Pelczer, Herschel Rabitz, “Discovering predictive rules of chemistry from property landscapes”, Chemical Physics Letters, 572, 2013, 1
- Mikhail Elyashberg, “Identification and structure elucidation by NMR spectroscopy”, TrAC Trends in Analytical Chemistry, 69, 2015, 88
- Alexander Pechen, Nikolay Il’in, “Control landscape for ultrafast manipulation by a qubit”, J. Phys. A: Math. Theor., 50, no. 7, 2017, 075301
- B. Christopher Rinderspacher, Jennifer M. Elward, “Enriched optimization of molecular properties under constraints: an electrochromic example”, Mol. Syst. Des. Eng., 3, no. 3, 2018, 485
- René Fournier, Amir Mohareb, “Optimizing molecular properties using a relative index of thermodynamic stability and global optimization techniques”, The Journal of Chemical Physics, 144, no. 2, 2016, 024114
- Jennifer M. Elward, B. Christopher Rinderspacher, “Smooth heuristic optimization on a complex chemical subspace”, Phys. Chem. Chem. Phys., 17, no. 37, 2015, 24322