Results 61 to 70 of about 396,333 (302)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

The limiting behavior of some infinitely divisible exponential dispersion models

, 2010
Consider an exponential dispersion model (EDM) generated by a probability $ \mu $ on $[0,\infty )$ which is infinitely divisible with an unbounded L\'{e}vy measure $\nu $. The Jorgensen set (i.e., the dispersion parameter space) is then $\mathbb{R}^{+}$,
Bar-Lev, Shaul, Letac, Gerard
core   +3 more sources

Ultrahigh Piezoelectricity in Truss‐Based Ferroelectric Ceramics Metamaterials

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
By leveraging the unique combination of polarization direction and loading state, ultrahigh piezoelectricity is achieved through careful tuning of the relative density and scaling ratio in truss‐based ferroelectric metamaterials. This approach enables the simultaneous realization of extremely high piezoelectric constants and ultralow dielectric ...
Jiahao Shi, Kang Ju, Haoyu Chen, Valérie Orsat, Agus P. Sasmito, Ali Ahmadi, Abdolhamid Akbarzadeh   +6 more
wiley   +1 more source

Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data

BMC Bioinformatics, 2010
Background Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) is a proteomics tool for biomarker discovery and other high throughput applications.
Emanuele Vincent A, Gurbaxani Brian M
doaj   +1 more source

Kernel Exponential Family Estimation via Doubly Dual Embedding [PDF]

, 2019
We investigate penalized maximum log-likelihood estimation for exponential family distributions whose natural parameter resides in a reproducing kernel Hilbert space.
Dai, Bo, Dai, Hanjun, Gretton, Arthur, He, Niao, Schuurmans, Dale, Song, Le   +5 more
core   +1 more source

Monte Carlo Methods for Insurance Risk Computation

, 2018
In this paper we consider the problem of computing tail probabilities of the distribution of a random sum of positive random variables. We assume that the individual variables follow a reproducible natural exponential family (NEF) distribution, and that ...
Bar-Lev, Shaul, Ridder, Ad
core   +2 more sources

Gate‐Tunable Hole Transport in In‐Plane Ge Nanowires by V‐Groove Confined Selective Epitaxy

Advanced Functional Materials, EarlyView.
Ge nanowires are promising for hole spin‐based quantum processors, requiring direct integration onto Si wafers. This work introduces V‐groove‐confined selective epitaxy for in‐plane nanowire growth on Si. Structural and low‐temperature transport measurements confirm their high crystalline quality, gate‐tunable hole densities, and mobility.
Santhanu Panikar Ramanandan, Alban Morelle, Michele Masseroni, Shelly Ben‐David, Sara Martí‐Sánchez, Victor Boureau, Alok Rudra, Thomas Ihn, Jordi Arbiol, W. Craig Carter, Klaus Ensslin, Anna Fontcuberta i Morral   +11 more
wiley   +1 more source

Exponential Family Hybrid Semi-Supervised Learning [PDF]

, 2009
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/discriminative models. Our model is more flexible and natural than previous
Agarwal, Arvind, Daume III, Hal
core   +4 more sources

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
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, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Ordered smoothers with exponential weighting

, 2013
International audienceThe main goal in this paper is to propose a new approach to deriving oracle inequalities related to the exponential weighting method.
Chernousova, E, Golubev, Yu, Krymova, E
core   +3 more sources