Results 301 to 310 of about 405,178 (360)

Descriptors for the Evaluation of Electrocatalytic Reactions: d‐Band Theory and Beyond

Advanced Functional Materials, 2021
Closing the carbon‐, hydrogen‐, and nitrogen cycle with renewable electricity holds promises for the mitigation of the facing environment and energy crisis, along with the continuing prosperity of the human society. Descriptors bridge the gap between the
Shilong Jiao, Xianwei Fu, Hongwen Huang
semanticscholar   +1 more source

Theory-guided design of catalytic materials using scaling relationships and reactivity descriptors

Nature Reviews Materials, 2019
Zhi-Jian Zhao, Sihang Liu, Shenjun Zha   +2 more
exaly   +2 more sources

Machine learning identified materials descriptors for ferroelectricity

Acta Materialia, 2021
With aid of good materials descriptors, machine learning algorithms are able to accelerate the design of new materials and uncover underlying mechanisms.
Jingjin He, Junjie Li, Cheng Wen
exaly   +2 more sources

Descriptor- and Non-Descriptor Controllers in H ∞ Control of Descriptor Systems

IFAC Proceedings Volumes, 2000
Abstract In this paper H ∞ control of high index and non-regular linear descriptor systems is addressed. Based on a generalization of the bounded real lemma (BRL) it is shown how the standard, i.e. non-descriptor, H ∞ control problem can be can be generalized to descriptor systems.
A. Rehm, F. Allgöwer
openaire   +1 more source

Affine invariant shape descriptors: The ICA-Fourier descriptor and the PCA-Fourier descriptor

2008 19th International Conference on Pattern Recognition, 2008
In this paper, we propose two new affine invariant shape descriptors, the ICA-Fourier descriptor and the PCA-Fourier descriptor. We tested the descriptors by using them as features for shape based silhouette image retrieval. Experiments on a 1000 silhouette image database show promising retrieval rates of 95.41% and 93.63%, using the ICA-Fourier ...
Ye Mei, Dimitrios Androutsos
openaire   +1 more source

Exploring Nature and Predicting Strength of Hydrogen Bonds: A Correlation Analysis Between Atoms‐in‐Molecules Descriptors, Binding Energies, and Energy Components of Symmetry‐Adapted Perturbation Theory

Journal of Computational Chemistry, 2019
This work studies the underlying nature of H‐bonds (HBs) of different types and strengths and tries to predict binding energies (BEs) based on the properties derived from wave function analysis.
S. Emamian, T. Lu, H. Kruse, Hamidreza Emamian   +3 more
semanticscholar   +1 more source

Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models

, 2020
Materials informatics employs machine learning (ML) models to map the relationship between a targeted property and various materials descriptors, providing new avenues to accelerate the discovery of new materials.
Y. Zhang, Cheng Wen, Changxin Wang, S. Antonov, D. Xue, Yang Bai, Yanjing Su   +6 more
semanticscholar   +1 more source

Main Descriptors to correlate structures with performances of electrocatalysts.

Angewandte Chemie, 2021
Hydrogen/oxygen redox catalysis, which involves the hydrogen evolution reaction (HER) and hydrogen oxidation reaction (HOR) and oxygen reduction reaction (ORR) and oxygen evolution reaction (OER), respectively, is crucial in determining the ...
Bin Wang, Fuxiang Zhang
semanticscholar   +1 more source

Descriptor Revision

Studia Logica, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Learning Feature Descriptors using Camera Pose Supervision

European Conference on Computer Vision, 2020
Recent research on learned visual descriptors has shown promising improvements in correspondence estimation, a key component of many 3D vision tasks. However, existing descriptor learning frameworks typically require ground-truth correspondences between ...
Qianqian Wang, Xiaowei Zhou, B. Hariharan, Noah Snavely   +3 more
semanticscholar   +1 more source