Results 101 to 110 of about 5,290,216 (250)

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

Advanced 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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

PROXIMITY DEGREE FOR SIMPLE AND MULTIPLE STRUCTURES OF THE EIGENVALUES: OVERSHOOT MINIMIZATION FOR FREE MOTION TRAJECTORIES OF APERIODIC SYSTEM [PDF]

Научно-технический вестник информационных технологий, механики и оптики, 2014
The paper deals with steady aperiodic continuous system, state matrix of which has a real spectrum of the eigenvalues which absolute value is less than unity.
T. A. Akunov, N. A. Dudarenko, N. A. Polinova, A. V. Ushakov   +3 more
doaj  

Calculation of Complex Eigenvalues for Axisymmetric Problems in Eddy Current Testing

In the present paper we consider the solution of the eigenvalue problem for the following three cases: (1) a coil with alternating current above a conducting cylinder of finite size, (2) a coil above a conducting plate with bottom cylindrical hole and (3)
Koliškina, Valentīna, Volodko, Inta
core  

Keeping Pace or Falling Behind? The Depth of Latin American Trade Agreements

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This article examines whether Latin American countries are keeping pace with global trends in trade agreement depth or falling behind. Using 681 agreements (1970–2019), we develop the Depth Index of Trade Agreements (DITA) to weight provisions endogenously through factor analysis based on co‐occurrence patterns.
Raphael Gomes da Silva, Fernanda Aparecida Silva, Lia Nogueira   +2 more
wiley   +1 more source

Eigenvalues and eigenvectors of complex Hadamard matrices [PDF]

Characterizing the $6\times 6$ complex Hadamard matrices (CHMs) is an open problem in linear algebra and quantum information. In this paper, we investigate the eigenvalues and eigenvectors of CHMs.
Chen, Lin, Liang, Mengfan
core   +1 more source

Eigenvalues of Schrödinger operators with complex surface potentials [PDF]

, 2017
We consider Schrödinger operators in R^d with complex potentials supported on a hyperplane and show that all eigenvalues lie in a disk in the complex plane with radius bounded in terms of the L^p norm of the potential with d−1
Frank, Rupert L.
core  

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

Agribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann, Ching‐Hua Yeh, Matthew Gorton, Barbara Tocco, Áron Török   +4 more
wiley   +1 more source

Exploring Symptom Domains of Postoperative Bowel Dysfunction by Integrating LARS and Wexner Scores: A Longitudinal Factor‐Analytic Study

Annals of Gastroenterological Surgery, EarlyView.
Item‐level factor analysis of the LARS and Wexner scores in 320 patients undergoing sphincter‐preserving rectal resection identified three distinct symptom domains: incontinence, urgency/clustering, and gas control. These domains had different clinical determinants: radiotherapy was associated with greater severity of both incontinence and urgency ...
Yoshiko Matsumoto, Issei Takeshita, Keiichi Shiokawa, Kurumi Sahara, Taro Munechika, Ken Nagata, Hideki Nagano, Hiroyuki Takahashi, Suguru Hasegawa   +8 more
wiley   +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

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source