Results 101 to 110 of about 1,302,044 (285)

LFA: A Lattice Fourier Analyzer for Quantitative In Situ EC‐STM of Adsorbate–Substrate Superstructures

Advanced Materials Interfaces, EarlyView.
Although electrochemical scanning tunneling microscopy provides atomic‐scale access to electrified interfaces, quantitative in situ and operando investigations suffer from drift‐induced distortions. This work introduces the Lattice Fourier Analyzer (LFA), which employs substrate‐anchored affine drift correction in reciprocal space to recover precise ...
Rafał Lewandków, Paulina Wira, Anna Futyma, Radosław Wasielewski, Tomasz Kosmala   +4 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values

Genetics Selection Evolution, 2019
Background Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution.
Motohide Nishio, Aisaku Arakawa
doaj   +1 more source

Monte Carlo and kinetic Monte Carlo methods

, 2009
This article reviews the basic computational techniques for carrying out multi-scale simulations using statistical methods, with the focus on simulations of epitaxial growth. First, the statistical-physics background behind Monte Carlo simulations is briefly described.
openaire   +2 more sources

Materials for Suppressed Triplet‐Polaron Quenching in Efficient and Long‐Lifetime Phosphorescent OLEDs

Advanced Optical Materials, EarlyView.
We performed a computational screening of phosphorescent emitters and charge transporters for OLEDs to identify combinations that minimize triplet‐polaron quenching, a major cause of efficiency loss and short operational lifetimes, especially in blue OLEDs. Our results reveal key design rules and highlight emitter‐transporter pairs that strongly reduce
Clint van Hoesel, Reinder Coehoorn, Peter A. Bobbert   +2 more
wiley   +1 more source

Flexible and High‐Performance Perovskite‐Polymer Composites for Dual X‐Ray and Proton Direct Detection

Advanced Optical Materials, EarlyView.
A polymer–perovskite composite obtained by mechanochemical synthesis enables thick, tunable active layers for efficient absorption of highly penetrating ionizing radiation. Vertical‐electrode detectors achieve low X‐ray detection limits and high sensitivity direct 5 MeV proton sensing.
Camilla Bordoni, Bas A. H. Huisman, Joost W. C. Reinders, Ilaria Fratelli, Massimo Chiari, Laura Basiricò, Henk J. Bolink, Andrea Ciavatti, Michele Sessolo, Beatrice Fraboni   +9 more
wiley   +1 more source

A COMPARISON OF BOOTSTRAP AND MONTE CARLO APPROACHES TO TESTING FOR SYMMETRY IN THE HOUCK'S MODEL [PDF]

Russian Journal of Agricultural and Socio-Economic Sciences, 2013
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. The results of bootstrap and Monte Carlo simulations indicate that the power of the Houck's test for asymmetry depends on sample size, level of asymmetry ...
Henry de-Graft Acquah
doaj  

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source