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High-throughput molecular simulations of metal organic frameworks for co2 separation: opportunities and challenges
(Frontiers Media, 2018-02-02)
Metal organic frameworks (MOFs) have emerged as great alternatives to traditional nanoporous materials for CO2 separation applications. MOFs are porous materials that are formed by self-assembly of transition metals and ...
Azimuthal anisotropy of charged particles with transverse momentum up to 100 GeV/c in PbPb collisions at √sNN= 5.02 TeV
The Fourier coefficients v(2) and v(3) characterizing the anisotropy of the azimuthal distribution of charged particles produced in PbPb collisions at root S-NN = 5.02 TeV are measured with data collected by the CMS ...
Eigenvalues and dynamical properties of weighted backward shifts on the space of real analytic functions
(Institute of Mathematics Polish Academy of Sciences, 2018)
Usually backward shift is neither chaotic nor hypercyclic. We will show that on the space A(Omega) of real analytic functions on a connected set Omega subset of R with 0 is an element of Omega, the backward shift operator ...
Mean field multilayer stackelberg differential games in multi-agent systems
(Ministry Communications & High Technologies Republic Azerbaijan, 2018)
In this paper, we study linear-quadratic hierarchical mean field Stackelberg differential games with decentralized adapted open-loop information structure. In this game model, there are three levels of decision making, ...
Database for CO2 separation performances of MOFs based on computational materials screening
(American Chemical Society, 2018-05-23)
Metal-organic frameworks (MOFs) are potential adsorbents for CO2 capture. Because thousands of MOFs exist, computational studies become very useful in identifying the top performing materials for target applications in a ...
Finite-state approximation of Markov decision processes
In this chapter we study the finite-state approximation problem for computing near optimal policies for discrete-time MDPs with Borel state and action spaces, under discounted and average costs criteria. Even though existence ...
Approximations for constrained Markov decision problems
This chapter studies the finite-state approximation of a discrete-time constrained Markov decision process with compact state space, under the discounted and average cost criteria. Using the linear programming formulation ...
Prelude to part II
In Part II, we focus on decentralized stochastic control problems and their applications. In Chapter 8, we present our results on the finite model approximation of multi-agent stochastic control problems (team decision ...
Prelude to part I
Part I involves classical stochastic control problems, with a single decision maker acting repeatedly over time with its information set growing at each time stage.
Finite-action approximation of Markov decision processes
(Birkhäuser Basel, 2018)
In this chapter, we study the finite-action approximation of optimal control policies for discrete-time Markov decision processes (MDPs) with Borel state and action spaces, under discounted and average cost criteria. One ...
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