Results 71 to 80 of about 28,556 (267)

Wavelength and Pulsewidth Tunable Flexible CsPbBr3 Perovskite Microlasers by Mechanical Stress Modulation

open access: yesAdvanced Electronic Materials, EarlyView.
Mechanically tunable all‐organic CsPbBr3 perovskite microlasers on a flexible PET substrate is demonstrated, enabling simultaneous wavelength and pulsewidth modulation of laser emission. The strain–photon synergetic coupling mechanism is revealed.
Zhaohuan Cai   +6 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

The eigenvector bead process

open access: yesJournal of Physics A: Mathematical and Theoretical
Abstract We investigate the overlap matrix between the eigenvectors of a Wigner matrix H
Antonin Barbe   +2 more
openaire   +2 more sources

A Kinetic–Energetic Bottleneck of Charge‐Transfer Injection Governs Energy Loss in Organic Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang   +16 more
wiley   +1 more source

Single-phase earth-fault perception and location method for active distribution networks based on linear eigenvalue statistics

open access: yesFrontiers in Energy Research
To address the difficulty in accurately detecting and locating single-phase-to-ground faults in active distribution networks under random fluctuations of distributed energy resources and disturbances, this paper proposes a fault sensing and section ...
Hongxi Yang
doaj   +1 more source

A local eigenvector centrality

open access: yesCoRR
17 pages, 8 ...
Ruaridh A. Clark   +3 more
openaire   +2 more sources

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

open access: yesAdvanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam   +5 more
wiley   +1 more source

Mine exogenous fire monitoring method using the fusion of infrared visual features

open access: yes矿业科学学报
In order to solve the problems of high false positive and false negative rates of external fire monitoring in complex mine environments, a monitoring algorithm using infrared visual feature fusion was proposed.
LI Xiaoyu   +3 more
doaj   +1 more source

The Female Population Growth Projection Year 2021 in Trenggalek Regency by Leslie Matrix Model on the Birth Rate and Life Expectancy

open access: yesBiology, Medicine & Natural Product Chemistry, 2017
This research aims to determine the number of female residents in Trenggalek Regency in 2021 based on data on birth rate and life expectancy. The use of eigenvalues and eigenvectors aims to determine the dividing age distribution by Leslie matrix model ...
Dewi Anggreini
doaj   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

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