Results 141 to 150 of about 101,086 (306)
, 2016 Onshore oil fields may contain hundreds of wells that use sophisticated and complex equipments. These equipments need regular maintenance to keep the wells at maximum productivity.
Ribeiro, Glaydston Mattos +4 more
core +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Complex System Modeling and SimulationEnhancing the adaptability of Unmanned Aerial Vehicle (UAV) swarm control models to cope with different complex working scenarios is an important issue in this research field.
Yuan Wang +4 more
doaj +1 more source
Improved Heuristics for the Early/Tardy Scheduling Problem with No Idle Time [PDF]
In this paper we consider the single machine earliness/tardiness scheduling problem with no idle time. We present two new heuristics, a dispatch rule and a greedy procedure, and also consider the best of the existing dispatch rules.
Rui A. F. S. Alves, Jorge M. S. Valente
core
Advanced Electronic Materials, EarlyView.A fully coupled FEM–HH model shows that ideally capacitive microelectrodes can achieve lower charge‐density thresholds than Faradaic contacts under current‐controlled stimulation. The advantage stems from the dynamics of surface current density on capacitive interfaces, which redirects current beneath adherent neurons.
Aleksandar Opančar +2 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A meta-heuristic extension of the Lagrangian heuristic framework
Optimization Methods and SoftwareLagrangian heuristics for discrete optimization work by modifying Lagrangian relaxed solutions into feasible solutions to an original problem. They are designed to identify feasible, and hopefully also near-optimal, solutions and have proven to be highly successful in many applications.
Uledi Ngulo +2 more
openaire +2 more sources
Meta-heuristics for stable scheduling on a single machine. [PDF]
This paper presents a model for single-machine scheduling with stability objective and a common deadline. Job durations are uncertain, and our goal is to ensure that there is little deviation between planned and actual job starting times.
Ballestin, F, Leus, Roel
core
Coping with uncertainty in public health: the use of heuristics
, 2014 The observation that experts and lay people use cognitive shortcuts or heuristics to arrive at judgements about complex problems is certainly not new.
Cummings, L
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Advanced Energy Materials, EarlyView.Ir‐based double perovskites restructure during acidic oxygen evolution electrocatalysis through dissolution of non‐Ir cations and convergence toward IrOx active‐site motifs with similar structure and intrinsic activity across compositions. The identity of the dissolving cations controls dissolution and surface reconstruction kinetics, clarifying how ...
Harrison H. Lippie +5 more
wiley +1 more source