Results 61 to 70 of about 73,165 (262)

Near‐Micron Single‐Crystalline Mn‐Rich Cathodes With Exceptional Cycling Stability

Advanced Energy Materials, EarlyView.
Earth‐abundant single‐crystalline Mn‐rich DRX material faces a synthetic limit in particle‐size reduction. Our automated TEM workflow reveals interparticle compositional heterogeneity in early‐stage DRX, which forms minor orthorhombic impurities during cooling and necessitates prolonged annealing.
Eunryeol Lee, Tucker Holstun, Tara Mishra, Maciej Moździerz, Shilong Wang, Yanbao Fu, Peter Ercius, Alexander Pattison, Satoshi Hiroi, Koji Ohara, Vincent Battaglia, Haegyeom Kim, Akira Miura, Gerbrand Ceder   +13 more
wiley   +1 more source

Harmonic analysis associated with a discrete Laplacian [PDF]

, 2017
It is well known that the fundamental solution of ut(n,t)=u(n+1,t)−2u(n,t)+u(n−1,t),n∈ℤ, with u(n, 0) = δnm for every fixed m ∈ Z is given by u(n, t) = e−2tIn−m(2t), where Ik(t) is the Bessel function of imaginary argument.
Torrea, J.L. [0000-0002-3119-6865], Alastair Gillespie, T., Luz Roncal, José L. Torrea, Óscar Ciaurri, Varona, J.L. [0000-0002-2023-9946], Ciaurri, Ó. [0000-0002-1695-3311], Roncal, L. [0000-0003-0852-3677], T. Alastair Gillespie, Juan Luis Varona, Ciaurri, Ó., Roncal, L., Varona, J.L., Torrea, J.L.   +13 more
core   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Aggregating distributed energy resources for grid flexibility services: A distributed game theoretic approach

International Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract We propose a hierarchical energy management scheme for aggregating Distributed Energy Resources (DERs) for grid flexibility services. To prevent a direct participation of numerous prosumers in the wholesale electricity market, aggregators, as self‐interest agents in our scheme, incentivize prosumers to provide flexibility. We firstly model the
Xiupeng Chen, Mehran Shakarami, Jacquelien M. A. Scherpen, Nima Monshizadeh   +3 more
wiley   +1 more source

Existence of positive solutions for non local p-Laplacian thermistor problems on time scales [PDF]

, 2007
We make use of the Guo-Krasnoselskii fixed point theorem on cones to prove existence of positive solutions to a non local p-Laplacian boundary value problem on time scales arising in many applications. © 2007 Victoria University.
Ammi, M.R.S., Torres, D.F.M.
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

The Laplacian spectral radius of graphs [PDF]

, 2010
summary:The Laplacian spectral radius of a graph is the largest eigenvalue of the associated Laplacian matrix. In this paper, we improve Shi's upper bound for the Laplacian spectral radius of irregular graphs and present some new bounds for the Laplacian
Jianxi Li, Chang, An, Wai Chee Shiu, An Chang, Li, Jianxi, Shiu, Wai Chee   +5 more
core   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

On a connection between the discrete fractional Laplacian and superdiffusion [PDF]

, 2015
We relate the fractional powers of the discrete Laplacian with a standard time-fractional derivative in the sense of Liouville by encoding the iterative nature of the discrete operator through a time-fractional memory term.
Lizama, C., Varona, J.L. [0000-0002-2023-9946], Ciaurri, Ó. [0000-0002-1695-3311], Roncal, L. [0000-0003-0852-3677], Ciaurri, Ó., Roncal, L., Varona, J.L.   +6 more
core   +1 more source