Results 121 to 130 of about 4,577,308 (305)

A Universal van der Waals Tunneling Injector for Monolayer CMOS

Advanced Materials, EarlyView.
A universal van der Waals injector unlocks polarity‐flexible tunneling contacts for monolayer CMOS. SnSe2, an intrinsically degenerate 2D semiconductor, establishes polarity‐specific band alignments with both WSe2 and MoS2 channels, enabling steep switching, high on/off ratios, and a unified route to low‐power 2D logic.
Hanbin Cho, Jing Huang, Seonguk Yang, Subin Im, Sangwoo Park, Jeongin Yeo, Sungyeon Kim, Gilhwan Do, Wenxuan Zhu, Soobeom Shin, Jongwon Lee, Yongjoon Shin, Do‐Sun Lee, Hu Young Jeong, Tae‐Eon Park, Jun Kang, Kyungmin Ko, Joonki Suh   +17 more
wiley   +1 more source

Separation of the Linear and Nonlinear Covariates in the Sparse Semi-Parametric Regression Model in the Presence of Outliers

Mathematics
Determining the predictor variables that have a non-linear effect as well as those that have a linear effect on the response variable is crucial in additive semi-parametric models.
Morteza Amini, Mahdi Roozbeh, Nur Anisah Mohamed   +2 more
doaj   +1 more source

A simple bivariate count data regression model [PDF]

This paper develops a simple bivariate count data regression model in which dependence between count variables is introduced by means of stochastically related unobserved heterogeneity components. Unlike existing commonly used bivariate models, we obtain
Shiferaw Gurmu, John Elder
core  

Defect‐Templated Phase Engineering in Atomically Thin Metals

Advanced Materials, EarlyView.
Graphene defects are transformed from passive imperfections into programmable templates for phase‐selective growth of atomically thin silver. Plasma‐generated boundary defects favor Ag(1), whereas sp3‐rich zero‐layer graphene promotes Ag(2). This defect‐directed intercalation links local graphene chemistry to crystalline phase, electronic structure ...
Arpit Jain, Boyang Zheng, Sawani Datta, Kanchan Ulman, Jakob Henz, Matthew Wei‐Jun Liu, Van Dong Pham, Wen He, Chengye Dong, Li‐Syuan Lu, Alexander Vera, Nader Sawtarie, Wesley Auker, Ke Wang, Bob Hengstebeck, Zachary W. Henshaw, Shreya Mathela, Maxwell Wetherington, William H. Blades, Kenneth Knappenberger, Ursula Wurstbauer, Su Ying Quek, Ulrich Starke, Shengxi Huang, Vincent H. Crespi, Joshua A. Robinson   +25 more
wiley   +1 more source

A Simple GMM Estimator for the Semi-Parametric Mixed Proportional Hazard Model [PDF]

Ridder and Woutersen (2003) have shown that under a weak condition on the baseline hazard there exist root-N consistent estimators of the parameters in a semiparametric Mixed Proportional Hazard model with a parametric baseline hazard and unspecified ...
Ridder, Geert, Bijwaard, Govert
core  

Beta-Stacy survival regression models [PDF]

, 2007
This paper introduces a class of survival models for discrete time-to-event data with random right censoring. Flexible distributions for the survival times are constructed by modelling the random survival functions as discrete-time beta-Stacy processes (
Muliere, Pietro, Rigat, Fabio
core  

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Semi-Parametric Regression With Coarsely Observed Regressors

, 2007
Semi-parametric regression models with coarsely observed regressors are considered. Assuming coarsening at random, p n-consistent estimators are given, when the coarsening mechanism is either known or specified by a parametric model.
Søren Feodor Nielsen
core  

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Semi-parametric Geographically Weighted Regression Modelling using Linear Model of Coregionalization [PDF]

, 2017
Geographically Weighted Regression is a weighted analysis regression for local or spatially varying parameters, therefore each location has different regression parameters. In its application, one often finds a condition that needs some global parameters.
Mar, Zakiyah, Wigena, Aji Hamim, Djuraidah, Anik   +2 more
core   +1 more source