Results 61 to 70 of about 2,925,819 (300)
In situ PXRD data on solvothermal reactions accelerate materials discovery while simultaneously providing fundamental insights into complex crystal formation processes. Using PdxMy (M = Si, Ge, Sn, Pb) as an example, a general formation mechanism is identified, and specific synthesis strategies for ex situ preparation of SnPd2, Sn13Pd20, and SnPd ...
Anders Bæk Borup +1 more
wiley +1 more source
Maximum Entropy Exploration in Contextual Bandits with Neural Networks and Energy Based Models
Contextual bandits can solve a huge range of real-world problems. However, current popular algorithms to solve them either rely on linear models or unreliable uncertainty estimation in non-linear models, which are required to deal with the exploration ...
Adam Elwood +3 more
doaj +1 more source
Spin‐crossover metal‐organic frameworks (SCO‐MOFs) provide a route to control the electronic and magnetic properties of two‐dimensional quantum materials. By integrating a layered SCO‐MOFs with graphene, CrSBr, and NbSe2 nanodevices, thermally and light induced spin transitions induce strain that reversibly modulates charge transport, magnetic memory ...
Carla Boix‐Constant +4 more
wiley +1 more source
Bayesian mixture modelling and inference based Thompson sampling in Monte-Carlo tree search
Monte-Carlo tree search is drawing great interest in the domain of planning under uncertainty, particularly when little or no domain knowledge is available. One of the central problems is the trade-off between exploration and exploitation.
Aijun Bai +5 more
core +1 more source
ATC-FL: Adaptive Thompson Sampling for Efficient Clustering in Federated Learning
Federated Learning (FL) enables collaborative model training across decentralized clients without sharing raw data. To improve scalability and address client heterogeneity, clustering-based FL methods group similar clients to train specialized models ...
Shivani Sanjay Kolekar +3 more
doaj +1 more source
Decomposing and Optimizing Regret in Classical Multi-Armed Bandit Algorithms: ETC, UCB, and Thompson Sampling [PDF]
Define and decompose the regret values of three classic algorithms, Explore-then-commit, Upper confidence bounds, and Thompson Sampling. First determine which part of the algorithm, function or equation yield the regret, then decompose the regret to find
Yao Yixuan
doaj +1 more source
Synthesis of Ti2B2Clx MBenes in Molten Salts From Theoretical and Experimental Perspectives
By integrating a theoretical framework with experiments, Ti2InB2 was selectively etched with ZnCl2 to produce a multilayer (ml) Ti2B2Clx MBene. The In atoms are completely removed, with simultaneous incorporation of chlorine surface terminations. in situ x‐ray diffraction indicates a direct biphasic transformation from Ti2InB2 to ml‐MBene, with no ...
Rodrigo M. Ronchi +15 more
wiley +1 more source
Comparison of Regret in Ucb Algorithms and Thompson Sampling Under Different Reward Distributions [PDF]
The Multi-Armed Bandit (MAB) problem is a classic framework for solving the trade-off between exploration and exploitation, which is widely used in fields such as online advertising, recommendation systems, and A/B testing.
Yang Jingbo
doaj +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Multi-Armed Bandit-Based User Network Node Selection
In the scenario of an integrated space–air–ground emergency communication network, users encounter the challenge of rapidly identifying the optimal network node amidst the uncertainty and stochastic fluctuations of network states. This study introduces a
Qinyan Gao, Zhidong Xie
doaj +1 more source

