A machine learning Automated Recommendation Tool for synthetic biology von Radivojević, Tijana, Costello, Zak, Workman, Kenneth, Garcia Martin, Hector

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Modified Hamiltonian Monte Carlo for Bayesian inference von Radivojević, Tijana, Akhmatskaya, Elena

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Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism von Zhang, Jie, Petersen, Søren D., Radivojevic, Tijana, Ramirez, Andrés, Pérez-Manríquez, Andrés, Abeliuk, Eduardo, Sánchez, Benjamín J., Costello, Zak, Chen, Yu, Fero, Michael J., Martin, Hector Garcia, Nielsen, Jens, Keasling, Jay D., Jensen, Michael K.

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Adaptive Splitting Integrators for Enhancing Sampling Efficiency of Modified Hamiltonian Monte Carlo Methods in Molecular Simulation von Akhmatskaya, Elena, Fernández-Pendás, Mario, Radivojević, Tijana, Sanz-Serna, J. M

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Low-traffic limit and first-passage times for a simple model of the continuous double auction von Scalas, Enrico, Rapallo, Fabio, Radivojević, Tijana

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Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods von Radivojević, Tijana, Fernández-Pendás, Mario, Sanz-Serna, Jesús María, Akhmatskaya, Elena

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Ergodic transition in a simple model of the continuous double auction von Radivojević, Tijana, Anselmi, Jonatha, Scalas, Enrico

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BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale von Backman, Tyler W. H, Schenk, Christina, Radivojevic, Tijana, Ando, David, Singh, Jahnavi, Czajka, Jeffrey J, Costello, Zak, Keasling, Jay D, Tang, Yinjie, Akhmatskaya, Elena, Garcia Martin, Hector

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Constant pressure hybrid Monte Carlo simulations in GROMACS von Fernández-Pendás, Mario, Escribano, Bruno, Radivojević, Tijana, Akhmatskaya, Elena

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Wealth distribution and the Lorenz curve: a finitary approach von Scalas, Enrico, Radivojević, Tijana, Garibaldi, Ubaldo

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Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine NaFePO 4 von Escribano, Bruno, Lozano, Ariel, Radivojević, Tijana, Fernández-Pendás, Mario, Carrasco, Javier, Akhmatskaya, Elena

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Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering von Roy, Somtirtha, Radivojevic, Tijana, Forrer, Mark, Marti, Jose Manuel, Jonnalagadda, Vamshi, Backman, Tyler, Morrell, William, Plahar, Hector, Kim, Joonhoon, Hillson, Nathan, Garcia Martin, Hector

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Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine $$\hbox {NaFePO}_4$$ NaFePO 4 von Escribano, Bruno, Lozano, Ariel, Radivojević, Tijana, Fernández-Pendás, Mario, Carrasco, Javier, Akhmatskaya, Elena

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Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine NaFePO4 von Escribano, Bruno, Lozano, Ariel, Radivojević, Tijana, Fernández-Pendás, Mario, Carrasco, Javier, Akhmatskaya, Elena

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Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation von Carbonell, Pablo, Radivojevic, Tijana, García Martín, Héctor

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Machine learning for metabolic engineering: A review von Lawson, Christopher E., Martí, Jose Manuel, Radivojevic, Tijana, Jonnalagadda, Sai Vamshi R., Gentz, Reinhard, Hillson, Nathan J., Peisert, Sean, Kim, Joonhoon, Simmons, Blake A., Petzold, Christopher J., Singer, Steven W., Mukhopadhyay, Aindrila, Tanjore, Deepti, Dunn, Joshua G., Garcia Martin, Hector

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MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design von Blay, Vincent, Radivojevic, Tijana, Allen, Jonathan E., Hudson, Corey M., Garcia Martin, Hector

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Modified Hamiltonian Monte Carlo for Bayesian inference von Radivojević, Tijana, Akhmatskaya, Elena

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Perspectives for self-driving labs in synthetic biology von Martin, Hector G, Radivojevic, Tijana, Zucker, Jeremy, Bouchard, Kristofer, Sustarich, Jess, Peisert, Sean, Arnold, Dan, Hillson, Nathan, Babnigg, Gyorgy, Marti, Jose M, Mungall, Christopher J, Beckham, Gregg T, Waldburger, Lucas, Carothers, James, Sundaram, ShivShankar, Agarwal, Deb, Simmons, Blake A, Backman, Tyler, Banerjee, Deepanwita, Tanjore, Deepti, Ramakrishnan, Lavanya, Singh, Anup

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Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation von Carbonell, Pablo, Radivojevic, Tijana, García Martín, Héctor

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