1 citations · 2 across the 2 of their papers we have counts for
5 papers
Perspectives for self-driving labs in synthetic biology
Hector Garcia Martin, Tijana Radivojevic, Jeremy Zucker +19
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs co…
Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods
Tijana Radivojević, Mario Fernández-Pendás, Jesús María Sanz-Serna +1
Modified Hamiltonian Monte Carlo (MHMC) methods combine the ideas behind two popular sampling approaches: Hamiltonian Monte Carlo (HMC) and importance sampling. As in the HMC case,…
Modified Hamiltonian Monte Carlo for Bayesian inference
Tijana Radivojević, Elena Akhmatskaya
The Hamiltonian Monte Carlo (HMC) method has been recognized as a powerful sampling tool in computational statistics. We show that performance of HMC can be significantly improved…
Enhancing sampling in atomistic simulations of solid state materials for batteries: a focus on olivine NaFePO4
Bruno Escribano, Ariel Lozano, Tijana Radivojevic +3
The study of ion transport in electrochemically active materials for energy storage systems requires simulations on quantum- atomistic- and mesoscales. The methods accessing these…
Low-traffic limit and first-passage times for a simple model of the continuous double auction
Enrico Scalas, Fabio Rapallo, Tijana Radivojević
We consider a simplified model of the continuous double auction where prices are integers varying from to with limit orders and market orders, but quantity per order limite…