Results 71 to 80 of about 85,494 (314)

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Coding Environment and Exploration Curriculum for Max-Min Optimizations with an Evolution Strategy

Journal of Educational Research in Mathematics, 2021
The purpose of this study is to develop a curriculum of school mathematics and artificial intelligence regarding max-min problems. We also developed a coding environment for a designed curriculum that can be accessed and utilized at codingmath.org ...
doaj   +1 more source

Optimal hog cell to image ratio for robust multi-sensor face recognition systems [PDF]

Serbian Journal of Electrical Engineering, 2019
The main problem for modern visible light face recognition has been accurate identification under variable environmental conditions. Thermal infrared facial images utilization in face recognition systems can provide a solution for problems ...
Pavlović Miloš, Stojanović Branka, Petrović Ranko, Puzović Snežana, Stanković Srđan   +4 more
doaj   +1 more source

Polarizable Vanadium Dipoles Promote Water Dissociation on Vanadium‐Based Metal Organic Framework

Advanced Functional Materials, EarlyView.
The polarization of unpaired V 3d electrons weakens the H─O bond to improve water dissociation by the dual Vδ+:O─H and Pλ−:H─O coupling hydrogen bonds formation and relaxation. P@V‐MOF electrocatalyst shows low overpotentials (94 mV in acid, 178 mV in neutral, and 77 mV in alkaline solutions) with excellent stability for effective overall water ...
Xinjuan Liu, Jun Xu, Minmin Fan, Jingcheng Xu, Mengyuan Li, Yun Gong, Weiwei Yang, Lei Li, Yong Zhou, Deqiang Zhao, Yuhua Xue, Xingtao Xu, Chang Q. Sun, Liming Dai   +13 more
wiley   +1 more source

Two Dimensional Harmonics Retrieval in Zero-Mean Independent Multiplicative and Additive Noises

ITM Web of Conferences, 2016
For some theoretical problems and computational inefficiency, the problem of estimating the frequencies of two dimensional harmonics in zero-mean independent multiplicative and additive noises is not resolved completely.
Zhang Zheng-Wei, Chen Zhong, Wang Li-Hui
doaj   +1 more source

STATISTICAL ANALYSIS OF FORENSIC DNA: COMPUTATIONAL PROBLEMS SOLVED AND TO BE SOLVED

Journal of the Japanese Society of Computational Statistics, 2003
Summary: DNA profiling is a highly discriminating method for human identification. In this paper, the background of forensic DNA analysis is introduced. Problems on computational statistics such as Hardy-Weinberg and linkage equilibria, representativeness of population databases, and population substructure and relatedness etc. are addressed.
openaire   +2 more sources

Tissue‐Stimulator Platform for Electrically Stimulating Pancreatic β‐Cells for Long‐Term Functional Regulation

Advanced Functional Materials, EarlyView.
We present a tissue‐stimulator platform for seamless electrode integration with pancreatic tissue, applying uniform electrical stimulation through optimized design with biohybrid 3D printing. Advantageous effects of electrical stimulation on β‐cell function were observed, including enhanced calcium signaling, islet morphology, and maturation.
Jihwan Kim, Uijung Yong, Myungji Kim, Jaewook Kim, Yeonggwon Jo, In Kyong Shim, Song Cheol Kim, Jinah Jang   +7 more
wiley   +1 more source

Running applications on a hybrid cluster [PDF]

Компьютерные исследования и моделирование, 2015
A hybrid cluster implies the use of computational devices with radically different architectures. Usually, these are conventional CPU architecture (e.g. x86_64) and GPU architecture (e. g. NVIDIA CUDA).
A. V. Bogdanov, I. G. Gankevich, V. Yu. Gayduchok, N. V. Yuzhanin   +3 more
doaj   +1 more source

Topics in computational statistics

, 2022
Research in computational statistics develops numerically efficient methods to estimate statistical models, with Monte Carlo algorithms a subset of such methods. This thesis develops novel Monte Carlo methods to solve three important problems in Bayesian
Yang, Yu
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source