Results 81 to 90 of about 150,278 (286)

A Fluid Flow‐Based Deep Learning (FFDL) Architecture for Subsurface Flow Systems With Application to Geologic CO2 Storage

Water Resources Research
Prediction of the spatial‐temporal dynamics of the fluid flow in complex subsurface systems, such as geologic CO2 storage, is typically performed using advanced numerical simulation methods that solve the underlying governing physical equations. However,
Zhen Qin, Yingxiang Liu, Fangning Zheng, Behnam Jafarpour   +3 more
doaj   +1 more source

Global Precedent-Based Extrapolation Estimate of the M8+ Earthquake Hazard (According to USGS Data as of 1 June 2021) [PDF]

, 2022
A. I. Malyshev, L. K. Malysheva
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Mathematical methods for forecasting the company's financial results

Buhalterinės Apskaitos Teorija ir Praktika, 2013
Forecasting is essential for the company activities, as it helps to predict company's future results. Forecasting methods theory analysis has showed that the application of mathematical methods are very wide.
Judita Urbonaitė, Milda Kvekšienė
doaj  

Weighted L^p boundedness of maximal operators with rough kernels

AIMS Mathematics
In this paper, we study the weighted spaces $ L^p(\omega, \mathbb{R}^d) $ boundedness of certain class of maximal operators when their kernels belong to the space $ L^{q}(\mathbb{S} ^{d-1}) $, $ q > 1 $.
Hussain Al-Qassem , Mohammed Ali
doaj   +1 more source

Study ofππElastic Scattering Using the Chew-Low Extrapolation Method. [PDF]

, 1969
S. Marateck, V. Hagopian, W. Selove, L. Jacobs, F. Oppenheimer, W. Schultz, L. J. Gutay, D. H. Miller, J. Prentice, E. West, W. D. Walker   +10 more
openalex   +1 more source

Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation [PDF]

, 2022
Jian Zhang, Yuanqing Zhang, Huan Fu, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, Xing Tang   +8 more
openalex   +1 more source

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

Advanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour, Muhammad Nawaz Qaisrani, Christian Höhn, Johannes Laurenz Wolf, Negin Mogharehabed, Jennifer Velazquez Rojas, Wolfram Jaegermann, Erich Runge, Roel van de Krol, Thomas Hannappel, Christian Dreßler, Agnieszka Paszuk   +11 more
wiley   +1 more source

Reliable extrapolation of deep neural operators informed by physics or sparse observations

, 2023
Min Zhu, Handi Zhang, Anran Jiao, George Em Karniadakis, Lu Lu   +4 more
openalex   +2 more sources

Ladder‐Type Benzene‐Perylene Dyes with Efficient Laser Properties in the Near‐IR by Detracting/Activating Low/High Frequency Vibronic Modes

Advanced Functional Materials, EarlyView.
The NNR‐n series of oligomeric nanographenes delivers exceptional emission performance. This work shows that this performance is originated by their ladder‐type structure, which effectively deactivates low‐frequency vibronic modes. This deactivation neglects the main pathway for non‐emissive deactivation, even in the near‐infrared region. The potential
Marcos Díaz‐Fernández, Álex Farrando Pérez, Fernando Gordillo Gámez, Pedro G. Boj, José M. Villalvilla, José A. Quintana, Yanpei Wan, Daniel Aranda, José Manuel Marín‐Beloqui, Jishan Wu, Zebing Zeng, María A. Díaz‐García, Juan Casado   +12 more
wiley   +1 more source