Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism J Zhang, SD Petersen, T Radivojevic, A Ramirez, A Pérez-Manríquez, ...
Nature communications 11 (1), 4880, 2020
195 2020 Machine learning for metabolic engineering: A review CE Lawson, JM Martí, T Radivojevic, SVR Jonnalagadda, R Gentz, ...
Metabolic Engineering 63, 34-60, 2021
181 2021 A machine learning Automated Recommendation Tool for synthetic biology T Radivojević, Z Costello, K Workman, H Garcia Martin
Nature communications 11 (1), 4879, 2020
176 2020 Opportunities at the intersection of synthetic biology, machine learning, and automation P Carbonell, T Radivojevic, H Garcia Martin
ACS synthetic biology 8 (7), 1474-1477, 2019
119 2019 Modified hamiltonian monte carlo for bayesian inference T Radivojević, E Akhmatskaya
Statistics and Computing 30 (2), 377-404, 2020
34 2020 Constant pressure hybrid Monte Carlo simulations in GROMACS M Fernández-Pendás, B Escribano, T Radivojević, E Akhmatskaya
Journal of molecular modeling 20, 1-10, 2014
23 2014 Adaptive splitting integrators for enhancing sampling efficiency of modified Hamiltonian Monte Carlo methods in molecular simulation E Akhmatskaya, M Fernández-Pendás, T Radivojević, JM Sanz-Serna
Langmuir 33 (42), 11530-11542, 2017
22 2017 Perspectives for self-driving labs in synthetic biology HG Martin, T Radivojevic, J Zucker, K Bouchard, J Sustarich, S Peisert, ...
Current Opinion in Biotechnology 79, 102881, 2023
17 2023 Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods T Radivojević, M Fernández-Pendás, JM Sanz-Serna, E Akhmatskaya
Journal of Computational Physics 373, 900-916, 2018
13 2018 Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine B Escribano, A Lozano, T Radivojević, M Fernández-Pendás, J Carrasco, ...
Theoretical Chemistry Accounts 136 (4), 43, 2017
13 2017 Multiomics data collection, visualization, and utilization for guiding metabolic engineering S Roy, T Radivojevic, M Forrer, JM Marti, V Jonnalagadda, T Backman, ...
Frontiers in bioengineering and biotechnology 9, 612893, 2021
11 2021 Mix & match hamiltonian monte carlo T Radivojević, E Akhmatskaya
arXiv preprint arXiv:1706.04032, 2017
10 2017 Low-traffic limit and first-passage times for a simple model of the continuous double auction E Scalas, F Rapallo, T Radivojević
Physica A: Statistical Mechanics and its Applications 485, 61-72, 2017
7 2017 Enhancing sampling in computational statistics using modified Hamiltonians T Radivojevic
7 2016 Ergodic transition in a simple model of the continuous double auction T Radivojević, J Anselmi, E Scalas
PloS one 9 (2), e88095, 2014
7 2014 Opportunities at the intersection of synthetic biology, machine learning, and automation. ACS Synth. Biol. 8, 1474–1477 P Carbonell, T Radivojevic, H García Martín
5 2019 MACAW: an accessible tool for molecular embedding and inverse molecular design V Blay, T Radivojevic, JE Allen, CM Hudson, H Garcia Martin
Journal of Chemical Information and Modeling 62 (15), 3551-3564, 2022
4 2022 Predictive engineering and optimization of tryptophan metabolism in yeast through a combination of mechanistic and machine learning models J Zhang, SD Petersen, T Radivojevic, A Ramirez, A Pérez, E Abeliuk, ...
BioRxiv, 858464, 2019
4 2019 Wealth distribution and the Lorenz curve: a finitary approach E Scalas, T Radivojević, U Garibaldi
Journal of Economic Interaction and Coordination 10, 79-89, 2015
3 2015 ART: a machine learning automated recommendation tool for synthetic biology T Radivojevic, Z Costello, HG Martin
arXiv preprint, 2019
2 2019 