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Tijana Radivojevic
Tijana Radivojevic
Altos Labs
在 altoslabs.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
2012020
Machine learning for metabolic engineering: A review
CE Lawson, JM Martí, T Radivojevic, SVR Jonnalagadda, R Gentz, ...
Metabolic Engineering 63, 34-60, 2021
1852021
A machine learning Automated Recommendation Tool for synthetic biology
T Radivojević, Z Costello, K Workman, H Garcia Martin
Nature communications 11 (1), 4879, 2020
1802020
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
1222019
Modified hamiltonian monte carlo for bayesian inference
T Radivojević, E Akhmatskaya
Statistics and Computing 30 (2), 377-404, 2020
342020
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
232023
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
232014
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
222017
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
132018
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
132017
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
122021
Mix & match hamiltonian monte carlo
T Radivojević, E Akhmatskaya
arXiv preprint arXiv:1706.04032, 2017
102017
Ergodic transition in a simple model of the continuous double auction
T Radivojević, J Anselmi, E Scalas
PloS one 9 (2), e88095, 2014
82014
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
72017
Enhancing sampling in computational statistics using modified Hamiltonians
T Radivojevic
72016
Opportunities at the intersection of synthetic biology, machine learning, and automation. ACS Synth. Biol. 8, 1474–1477
P Carbonell, T Radivojevic, H García Martín
52019
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
42022
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
42019
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
32015
ART: a machine learning automated recommendation tool for synthetic biology
T Radivojevic, Z Costello, HG Martin
arXiv preprint, 2019
22019
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