Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics
Advanced Materials, EarlyView.An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang +8 more
wiley +1 more source
Electricity Procurement for Large Consumers with Second Order Stochastic Dominance Constraints
Iranian Journal of Electrical and Electronic Engineering, 2012 This paper presents a decision making approach for mid-term scheduling of large industrial consumers based on the recently introduced class of Stochastic Dominance (SD)- constrained stochastic programming. In this study, the electricity price in the pool
M. Zarif, M. H. Javidi, S. Ghazizadeh
doaj
Optimization of Ecological Water Replenishment Scheme Based on the Interval Fuzzy Two-Stage Stochastic Programming Method: Boluo Lake National Nature Reserve, Jilin Province, China. [PDF]
Int J Environ Res Public Health, 2022 Yang H, He W, Li Y.
europepmc +1 more source
Combining stochastic programming and optimal control to solve multistage stochastic optimization problems [PDF]
In this contribution we propose an approach to solve a multistage stochastic programming problem which allows us to obtain a time and nodal decomposition of the original problem.
Diana Barro, Elio Canestrelli
core
Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms
Advanced Materials, EarlyView.This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun +4 more
wiley +1 more source
Stochastic Congestion Management Considering Power System Uncertainties
Iranian Journal of Electrical and Electronic Engineering, 2010 Congestion management in electricity markets is traditionally done using deterministic values of power system parameters considering a fixed network configuration.
M. Esmaili, H. A Shayanfar, N. Amjady
doaj
Fundamental ResearchIn this paper, we investigate a backward doubly stochastic recursive optimal control problem wherein the cost function is expressed as the solution to a backward doubly stochastic differential equation.
Yunhong Li +3 more
doaj +1 more source
Optimal Allocation of Water Resources and Eco-Compensation Mechanism Model Based on the Interval-Fuzzy Two-Stage Stochastic Programming Method for Tingjiang River. [PDF]
Int J Environ Res Public Health, 2021 Hao N +5 more
europepmc +1 more source
Discounted Stochastic Fluid Programs
Mathematics of Operations Research, 2001 We consider optimal control problems for stochastic fluid models of the following type: Suppose (Zt) is a continuous-time Markov chain with finite state space. As long as Zt = z, the dynamics of the system at time t are given by a function bz(u(·)), where u is a control we have to choose. A cost rate function c is given, depending on the state and the
openaire +5 more sources
Advanced Materials, EarlyView.We show a giant, bias‐field free, deterministic, spin‐orbit‐torque switching of perpendicular hard magnets with HC over 1.3 T. By combining the three‐fold 3m symmetry from topological insulator surface states with the rectangular mm2 symmetry from the 2 x 1 intercalation in Cr3Te4, the interface symmetry is significantly reduced into a unidirectional m
He Ren +6 more
wiley +1 more source