Results 101 to 110 of about 6,708,930 (288)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Advanced Materials, EarlyView.A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
Extensible automated constraint modelling via refinement of abstract problem specifications [PDF]
, 2015 Constraint Programming (CP) is a powerful technique for solving large-scale combinatorial (optimisation) problems. Constraint solving a given problem proceeds in two phases: modelling and solving. Effective modelling has an huge impact on the performance
Akgün, Özgür
core +2 more sources
The complexity of the counting constraint satisfaction problem
Journal of the ACM, 2008 The Counting Constraint Satisfaction Problem (#CSP(H)) over a finite relational structure H can be expressed as follows: given a relational structure G over the same vocabulary, determine the number of homomorphisms from G to H. In this article we characterize relational structures H for which (#CSP(H) can be solved in polynomial time and prove that ...
openaire +4 more sources
DFU, Volume 7, The Constraint Satisfaction Problem: Complexity and Approximability, Complete Volume [PDF]
, 2017 DFU, Volume 7, The Constraint Satisfaction Problem: Complexity and Approximability, Complete ...
Krokhin, Andrei +4 more
core +1 more source
Advanced Materials, EarlyView.This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Modelling the Dynamics of Team Sensemaking: A Constraint Satisfaction Approach
, 2012 An approach to the modelling of team sensemaking is presented that relies on the use of multiple agents integrated into larger communication network structures.
Smart, Paul R., Shadbolt, Nigel R.
core +1 more source
Applied SciencesConstraint satisfaction problems (CSPs) are widely used in domains such as product configuration, scheduling, and resource allocation. However, formulating constraint models remains a significant challenge that often requires specialized expertise in ...
Roberto Penco +3 more
doaj +1 more source
Parameterized complexity of constraint satisfaction problems [PDF]
computational complexity, 2004 We prove a parameterized analog of Schaefer's Dichotomy Theorem: we show that for every finite boolean constraint family ?, deciding whether a formula containing constraints from ? has a satisfying assignment of weight exactly k is either fixed-parameter tractable (FPT) or W[1]-complete.
openaire +3 more sources
The energy scheduling problem: Industrial case-study and constraint propagation techniques [PDF]
, 2013 This paper deals with production scheduling involving energy constraints, typically electrical energy. We start by an industrial case-study for which we propose a two-step integer/constraint programming method.
Pierre Lopez +5 more
core +1 more source