Results 91 to 100 of about 907,184 (299)
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
Photoswitchable Conductive Metal–Organic Frameworks
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
Understanding Stability Mechanisms in Single-Atom Alloys with Theory-infused Deep Learning
We present an interpretable deep learning model that enhances the prediction of cohesive energy in transition metal alloys (TMAs) by incorporating cohesion theory into a graph neural network (GNN) framework. The model not only predicts the total cohesive energy-an indicator of crystal stability-but also disentangles its various contributing factors and
Huang, Yang +4 more
openaire +2 more sources
This study examines how manufacturing uncertainties in Curie temperatures (1.5–2°C) affect multilayer active magnetic regenerators (AMR). While increasing the number of magnetocaloric layers boosts cooling power, performance degrades due to temperature variations.
Urban Tomc +6 more
wiley +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
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Model instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking.
Hamid A. Pahlavan +2 more
doaj +1 more source
Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks
A learning control strategy is preferred for the control and guidance of a fixed-wing unmanned aerial vehicle to deal with lack of modeling and flight uncertainties.
Erdal Kayacan +3 more
doaj +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
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

