Results 71 to 80 of about 65,408 (307)

Surface Energy Modulated Self‐Assembly of Percolative Gallium Nanodroplet Films for Stretchable Electronics

Advanced Electronic Materials, EarlyView.
Surface‐energy guided self‐assembly of liquid metals enables the transformation of liquid metal micro/nanodroplets into continuous perocolative films on elastomeric substrates. By tailoring interfacial energetics and wetting behavior, uniform, conductive, and stretchable films are achieved, offering scalable pathways for high‐performance soft ...
Alwar Samy Ramasamy, Gayatri Subhalaxmi, Sneha Banerjee, Mark Vailshery, Renu Raman Sahu, Sivakumar K.S, Ajisha Chathyattu, Tapajyoti Das Gupta   +7 more
wiley   +1 more source

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

Generalization of Some Inequalities for Differentiable Co-ordinated Convex Functions With Applications

Moroccan Journal of Pure and Applied Analysis, 2016
In this paper, a new weighted identity for functions defined on a rectangle from the plane is established. By using the obtained identity and analysis, some new weighted integral inequalities for the classes of co-ordinated convex, co-ordinated wright ...
Latif M. A., Dragomir S. S., Momoniat E.
doaj   +1 more source

Duality and quasi-normability for complexity spaces

Applied General Topology, 2002
The complexity (quasi-metric) space was introduced in [23] to study complexity analysis of programs. Recently, it was introduced in [22] the dual complexity (quasi-metric) space, as a subspace of the function space [0,) ω. Several quasi-metric properties
Salvador Romaguera, M.P. Schellekens
doaj   +1 more source

Note on Steepest Descent Algorithm for Quasi L$^{\natural}$-convex Function Minimization

, 2023
We define a class of discrete quasi convex functions, called semi-strictly quasi L$^{\natural}$-convex functions, and show that the steepest descent algorithm for L$^{\natural}$-convex function minimization also works for this class of quasi convex ...
Murota, Kazuo, Shioura, Akiyoshi
core  

A Highly Hydrophilic Air Electrode With Water‐Induced Surface Reconstruction for Efficient Reversible Protonic Ceramic Cell at Low Water Partial Pressures

Advanced Energy Materials, EarlyView.
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi, Yun Xie, Xueyu Hu, Junji Hyodo, Chun‐Kuo Peng, Gaopeng Zhou, Hanwen Liu, Bingbing Qiu, Daqin Guan, Jiayi Tang, Yan‐Gu Lin, Ranran Peng, Moses Oludayo Tadé, Meilin Liu, Yoshihiro Yamazaki, Zongping Shao   +15 more
wiley   +1 more source

Existence of Solutions for Generalized Vector Quasi-Equilibrium Problems by Scalarization Method with Applications

Abstract and Applied Analysis, 2013
The aim of this paper is to study generalized vector quasi-equilibrium problems (GVQEPs) by scalarization method in locally convex topological vector spaces.
De-ning Qu, Cao-zong Cheng
doaj   +1 more source

Improved Three-term Conjugate Gradient Algorithm For Training Neural Network

Journal of Kufa for Mathematics and Computer, 2015
A new three-term conjugate gradient algorithm for training feed-forward neural networks is developed. It is a vector based training algorithm derived from DFP quasi-Newton and has only O(n) memory.
Abbas H. Taqi
doaj   +1 more source

Computing Normalized Equilibria in Convex-Concave Games [PDF]

. This paper considers a fairly large class of noncooperative games in which strategies are jointly constrained. When what is called the Ky Fan or Nikaidô-Isoda function is convex-concave, selected Nash equilibria correspond to diagonal saddle points of ...
Flåm, Sjur Didrik, Ruszczynski, A.
core  

Uniform approximation by quasi-convex and convex functions

, 1988
Given a bounded function f defined on a convex subset of Rn, the two problems considered are to find a quasi-convex (convex) function which is a best approximation to f under the uniform norm.
Ubhaya, Vasant A
core   +1 more source