Results 81 to 90 of about 30,322 (273)
Advanced Intelligent Discovery, EarlyView.Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
A Simple and Practial Estimation Method of Leq Noise Evaluation Index by Use of Statistical Information on Noise Level Fluctuation [PDF]
, 1987 P(論文)As is well-known, the noise evaluation index, Leq, is very important in the actual field of noise evaluation and regulation problems. On the other hand, an extraction of the lower and/or higher order statistical information has become easier by use ...
美禰, 忠夫 +3 more
core
Advanced Intelligent Discovery, EarlyView.AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Effect of an uniform magnetic field on unsteady natural convection of nanofluid
Journal of Taibah University for Science, 2019 In this work, the problem of the unsteady natural convection in an ${\rm Al}_2{\rm O}_3 $-water filled nanofluids influenced by an uniform magnetic field is analysed numerically.
Nagehan Alsoy-Akgün
doaj +1 more source
Composition dependence of giant magnetoresistance in $La_{1-x}Ca_xMnO_3 (0.1\leq x\leq 0.9)$
, 1995 We have studied the resistivity $(\varrho)$ and the magnetorbistance (MR) in sintered samples of $La_{1-x}Ca_x,MnO_3$ for $0.1\leq x \leq 0.9$ in the temperature range $4.2\leq T \leq 400K$ in magnetic fields $H\leq 6T$.
Raychaudhuri, AK +3 more
core
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
Advanced Intelligent Discovery, EarlyView.The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Journal of Mahani Mathematical ResearchIn this article feebly lifting modules are defined. A module $W$ is called feebly lifting provided, for each fully idempotent $N\leq W$ there exists a direct summand $D\leq W$ providing $D\leq N$ and $\frac{N}{D}\ll \frac{W}{D}$.
Cihat Abdioğlu, Esra Özturk Sozen
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Hardy inequalities on metric measure spaces, III: The case $q\leq p<0$ and applications [PDF]
, 2022 In this paper, we obtain a reverse version of the integral Hardy inequality on metric measure space with two negative exponents. Also, as for applications we show the reverse Hardy-Littlewood-Sobolev and the Stein-Weiss inequalities with two negative ...
Suragan, Durvudkhan +2 more
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MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
Advanced Intelligent Discovery, EarlyView.MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source
A 3D Multitask Graph Neural Network Framework for Ames Mutagenicity Prediction
Advanced Intelligent Discovery, EarlyView.Our proposed multitask graph neural network model has a high predictive accuracy for Ames mutagenicity. By operating directly on molecular graph representations instead of traditional molecular descriptors, and predicting strain‐specific results, the model outperforms most existing benchmarks.
Abigail E. Teitgen +3 more
wiley +1 more source