Results 31 to 40 of about 2,364,994 (254)
Estimating CDMs Using the Slice-Within-Gibbs Sampler
Frontiers in Psychology, 2020 In this paper, the slice-within-Gibbs sampler has been introduced as a method for estimating cognitive diagnosis models (CDMs). Compared with other Bayesian methods, the slice-within-Gibbs sampler can employ a wide-range of prior specifications; moreover,
Xin Xu +4 more
doaj +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Advanced Engineering Materials, EarlyView.Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
Efficient Quantum Gibbs Sampling with Local Circuits
PRX QuantumThe problem of simulating the thermal behavior of quantum systems remains a central open challenge in quantum computing. Unlike well-established quantum algorithms for unitary dynamics, provably efficient algorithms for preparing thermal states—crucial ...
Dominik Hahn +3 more
doaj +1 more source
Performance of the No-U-Turn sampler in multi-trait variance component estimation using genomic data
Genetics Selection Evolution, 2022 Background Multi-trait genetic parameter estimation is an important topic for target traits with few records and with a low heritability and when the genetic correlation between target and secondary traits is strong.
Motohide Nishio, Aisaku Arakawa
doaj +1 more source
, 2010 We consider various versions of adaptive Gibbs and Metropolis- within-Gibbs samplers, which update their selection probabilities (and perhaps also their proposal distributions) on the fly during a run, by learning as they go in an attempt to optimise
Rosenthal, Jeffrey S. (Jeffrey Seth) +1 more
core
Advanced Functional Materials, EarlyView.A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
Adaptive Gibbs samplers and related MCMC methods [PDF]
, 2011 We consider various versions of adaptive Gibbs and Metropolis- within-Gibbs samplers, which update their selection probabilities (and perhaps also their proposal distributions) on the y during a run, by learning as they go in an attempt to optimise ...
Rosenthal, Jeffrey S. (Jeffrey Seth) +2 more
core
Advanced Functional Materials, EarlyView.Encapsulation of solid–liquid barocalorics (BC) within MOFs harnesses their colossal BC performance whilst allowing active control of BC properties through BC‐MOF interactions. ABSTRACT Barocaloric (BC) effects at liquid–vapor transitions in hydrofluorocarbons drive most commercial technologies used for heating and cooling in the heating, ventilation ...
Ming Zeng +8 more
wiley +1 more source