Results 61 to 70 of about 430,483 (293)

2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics

Advanced Functional Materials, EarlyView.
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit, Yifei Yang, Shawn Li, Yu‐Chia Chen, Qi Jia, Jian‐Ping Wang   +5 more
wiley   +1 more source

A new generalized inverse Gaussian distribution with Bayesian estimators

Discover Data
A new family of distributions, called the transformed inverse Gaussian (TIG) distribution with four parameters, is introduced. Within this family, a specific distribution called the new generalized inverse Gaussian (NGIG) distribution, with three ...
Kenneth Goward, Chin-I Cheng, Kahadawala Cooray, Keshab Raj Dahal   +3 more
doaj   +1 more source

Gradient Scan Gibbs Sampler: an efficient algorithm for high-dimensional Gaussian distributions

, 2015
This paper deals with Gibbs samplers that include high dimensional conditional Gaussian distributions. It proposes an efficient algorithm that avoids the high dimensional Gaussian sampling and relies on a random excursion along a small set of directions.
Féron, Olivier, Giovannelli, Jean-François, Orieux, François   +2 more
core   +3 more sources

Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?

Advanced Functional Materials, EarlyView.
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee, Yunseo Kim, Hyeong‐ku Jo, Dongjoon Yoon, Byeonghyeok Im, WonJeong Yu, Eui‐Rim On, Changhwan Lee   +7 more
wiley   +1 more source

Diffusion probabilistic model based accurate and high-degree-of-freedom metasurface inverse design

Nanophotonics, 2023
Conventional meta-atom designs rely heavily on researchers’ prior knowledge and trial-and-error searches using full-wave simulations, resulting in time-consuming and inefficient processes.
Zhang Zezhou, Yang Chuanchuan, Qin Yifeng, Feng Hao, Feng Jiqiang, Li Hongbin   +5 more
doaj   +1 more source

Disordered Carbon Shells Enable Shape Dependent Fluorescence Enhancement in Nanodiamond Quantum Sensors Revealed by Correlative TEM–Fluorescence Microscopy

Advanced Functional Materials, EarlyView.
Molten KNO2 treatment induces a lowrefractive index disordered carbon shell on fluorescent nanodiamonds, enhancing fluorescence emission while preserving spin coherence. Machine learningassisted correlative TEMPL enables direct single‐particle resolution of this enhancement relative to air‐oxidized nanodiamonds of similar morphology, establishing a ...
Parkarsh Kumar, Tom Vaillant, Mehran Kianinia, Haotian Wen, Adam Stewart, Peter J. Reece, Hugues A. Girard, Jean‐Charles Arnault, Huan‐Cheng Chang, Igor Aharonovich, Shery L. Y. Chang   +10 more
wiley   +1 more source

Bayesian linear inverse problems in regularity scales

, 2019
We obtain rates of contraction of posterior distributions in inverse problems defined by scales of smoothness classes. We derive abstract results for general priors, with contraction rates determined by Galerkin approximation.
Gugushvili, Shota, van der Vaart, Aad, Yan, Dong   +2 more
core   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Sparse Inverse Covariance Selection via Alternating Linearization Methods [PDF]

, 2010
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse covariance matrix of the Gaussian distribution, one can learn the structure ...
Goldfarb, Donald, Ma, Shiqian, Scheinberg, Katya   +2 more
core   +2 more sources

Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film

Advanced Functional Materials, EarlyView.
ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu, Xiangwei Guo, Sajid Husain, Maya Ramesh, Pushpendra Gupta, Darrell Schlom, Ramamoorthy Ramesh, Yu‐Tsun Shao   +7 more
wiley   +1 more source