Results 51 to 60 of about 12,488,537 (258)

Reproducing kernel particle method with complex variables for elasticity

Acta Physica Sinica, 2008
The reproducing kernel particle method with complex variables is developed in this paper. The advantages of the developed method is that the correction function of a 2-D problem is formed with 1-D basis function. Then，we apply the method to two-dimensional elasticity，and the application to two-dimensional elasticity is presented, and the corresponding ...
null Chen Li, null Cheng Yu-Min
openaire   +1 more source

Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells

Advanced Functional Materials, EarlyView.
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong, Qihang Wang, Andre E. Vellwock, Sinuhe Perea Puente, Tingting Zhu, Jia Hui Lim, Kadda Medjoubi, Sebastian Hoerl, Erika Griesshaber, Wolfgang W. Schmahl, Yannicke Dauphin, Emeline Raguin, Peter Werner, Francesco Stellacci, Michael V. Swain, Peter Fratzl, Shahrouz Amini   +16 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A reproducing kernel particle method (RKPM) algorithm for solving the tropical Pacific Ocean model

Meshless methods have become increasingly popular for solving a wide range of problems in both solid and fluid mechanics. In this study, we focus on a meshless numerical approach to solve the tropical Pacific Ocean model, which captures the horizontal ...
Khodadadian, Amirreza, Dehghan, Mehdi, Abbaszadeh, Mostafa, Parvizi, Maryam, Wick, Thomas   +4 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Enriched Reproducing Kernel Approximation: Reproducing Functions with Discontinuous Derivatives

, 2005
International audienceIn this paper we propose a new approximation technique within the context of meshless methods able to reproduce functions with discontinuous derivatives. This approach involves some concepts of the reproducing kernel particle method
Chinesta, Francisco, Joyot, Pierre, Trunzler, Jean   +2 more
core   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Enriched Reproducing Kernel Particle Approximation for Simulating Problems Involving Moving Interfaces [PDF]

, 2007
International audienceIn this paper we propose a new approximation technique within the context of meshless methods able to reproduce functions with discontinuous derivatives. This approach involves some concepts of the reproducing kernel particle method
Chinesta, Francisco, Joyot, Pierre, Trunzler, Jean   +2 more
core   +2 more sources

Multichannel active-space embedding of atomic multiplets in plane-wave density functional theory/projector augmented-wave for core-level spectroscopies

Physical Review Research
We introduce an active-space embedding framework for core-level spectroscopies that connects localized atomic multiplets to continuum resonances within a plane-wave density functional theory/projector augmented-wave description.
Alessandro Mirone, Mauro Rovezzi, Christoph J. Sahle, Alessandro Longo   +3 more
doaj   +1 more source

Representing functional data in reproducing Kernel Hilbert Spaces with applications to clustering and classification [PDF]

Functional data are difficult to manage for many traditional statistical techniques given their very high (or intrinsically infinite) dimensionality. The reason is that functional data are essentially functions and most algorithms are designed to work ...
Alberto Muñoz, Javier González
core