Results 91 to 100 of about 919,498 (296)
Active learning (AL) requires massive time for comprehensive sampling of complex potential energy surfaces to achieve desirable accuracy and stability of machine learning (ML) potentials.
Yaohuang Huang, Yi-Fan Hou, Pavlo O Dral
doaj +1 more source
Comparisons of different deep learning-based methods on fault diagnosis for geared system
The running state of a geared transmission system affects the stability and reliability of the whole mechanical system. It will greatly reduce the maintenance cost of a mechanical system to identify the faulty state of the geared transmission system ...
Bing Han +3 more
doaj +1 more source
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen +4 more
wiley +1 more source
Method of Motion Planning for Digital Twin Navigation and Cutting of Shearer
To further enhance the intelligence level of coal mining faces and achieve the autonomous derivation, learning, and optimization of shearer navigation cutting, this paper proposes the methods of shearer digital twin navigation cutting motion planning ...
Bing Miao +3 more
doaj +1 more source
Since its inception in the late 1960’s, the field of Second Language Acquisition (SLA) has undergone many transformations. As pre-existing theories have been expanded upon and new theories introduced, researchers and practitioners have come to a deeper ...
Shafinaz Ahmed, Anna Ciriani Dean
doaj +1 more source
Adversarial scheduling analysis of Game-Theoretic Models of Norm Diffusion. [PDF]
In (Istrate et al. SODA 2001) we advocated the investigation of robustness of results in the theory of learning in games under adversarial scheduling models.
Istrate, Gabriel +2 more
core +1 more source
The Cavity Approach to Noisy Learning in Nonlinear Perceptrons
We analyze the learning of noisy teacher-generated examples by nonlinear and differentiable student perceptrons using the cavity method. The generic activation of an example is a function of the cavity activation of the example, which is its activation ...
Luo, Peixun, Wong, K. Y. Michael
core +2 more sources
Selective Benzene Capture by Metal‐Organic Frameworks
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han +4 more
wiley +1 more source
Convergence in the Finite Cournot Oligopoly with Social and Individual Learning [PDF]
Convergence to the Nash equilibrium in a Cournot oligopoly is a question that recurrently arises as a subject of controversy in economics. The development of evolutionary game theory has provided an equilibrium concept more directly connected with ...
Murat Yildizoglu, Thomas Vallée
core
Transient absorption measurements of doped conjugated polymer films show that small dopant ions create both free and Coulomb‐trapped polarons regardless of polymer morphology, but large dodecaborane‐based dopant ions create only free polarons even though the large ions cause the films to be more disordered.
Eric C. Wu +10 more
wiley +1 more source

