Results 151 to 160 of about 27,115 (309)

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]

PLoS One
Bhimineni VC, Senapati R.
europepmc   +1 more source

Rapid Recognition Model of Tomato Leaf Diseases based on Kernel Mutual Subspace Method

, 2020
Yan Zhang, Qingxue Li, Huarui Wu
openalex   +2 more sources

Solving Time-Dependent Klein-Gordon and Square-Root Klein-Gordon Equation with Krylov Subspace Methods

, 2022
Lei Geng, Hao Liang, Zi-Yang Lin, Liang-You Peng   +3 more
openalex   +1 more source

Electronic Correlation Effects in the Response of Graphene and MoS2 Monolayers to the Impact of Highly‐Charged Ions

physica status solidi (b), EarlyView.
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato, Michael Bonitz, Karsten Balzer, Fabio Caruso, Jan‐Philip Joost   +4 more
wiley   +1 more source

Flexible neural representations of abstract structural knowledge in the human entorhinal cortex. [PDF]

Elife
Mark S, Schwartenbeck P, Hahamy A, Samborska V, Baram AB, Behrens TE.   +5 more
europepmc   +1 more source

A fast two-point gradient algorithm based on sequential subspace optimization method for nonlinear ill-posed problems [PDF]

, 2019
Guangyu Gao, Bo Han, Shanshan Tong
openalex   +1 more source

Uncovering Exotic Topological Quantum States in Pure and Magnetically‐Doped Pyrite OsS2

Advanced Quantum Technologies, EarlyView.
Pyrite‐structured OsS2 is identified as a fragile topological insulator with an unprecedented 602 meV bandgap, featuring helical surface states and van Hove singularities amenable to ARPES verification. Magnetic doping with Pd, Fe, Ni, or Co induces phase transitions to strong topological insulators, semimetals, 3D quantum anomalous Hall insulators ...
Ali Sufyan, Hasan M. Abdullah, Gustav Johansson, Alexander C. Tyner, Hafiz Adil Qayyum, Ghulam Abbas Gilani, Rovi Angelo B. Villaos, Zhi‐Quan Huang, Feng‐Chuan Chuang, J. Andreas Larsson   +9 more
wiley   +1 more source

Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems

, 2018
Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai   +3 more
openalex   +2 more sources

Loss Behavior in Supervised Learning With Entangled States

Advanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl, Johanna Barzen, Marvin Bechtold, Frank Leymann, Lavinia Stiliadou   +4 more
wiley   +1 more source