Results 131 to 140 of about 3,299,544 (255)

Full-intensity waveform inversion

, 2018
Many full-waveform inversion schemes are based on the iterative perturbation theory to fit the observed waveforms. When the observed waveforms lack low frequencies, those schemes may encounter convergence problems due to cycle skipping when the initial ...
Liu, Yike, He, Bin, Xie, Xiao-Bi, Zheng, Yingcai, Lu, Huiyi, Zhang, Zhendong   +5 more
core   +1 more source

Opposite Trap‐State Evolution Pathways Govern Endurance and Retention Failure in Amorphous Chalcogenide Memory

Advanced Science, EarlyView.
GeSbSe selector‐only memory devices are investigated through physical and electrical analyses to reveal opposite trap‐state evolution pathways governing reliability degradation. Endurance cycling drives Se migration, transitioning traps from deep to shallow states.
Byung Jun Lee, Won Hee Jeong, Min Kyu Yang, Gun Hwan Kim   +3 more
wiley   +1 more source

Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints

Applied Sciences
Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-
Cen Cao, Deshan Feng, Jia Tang, Xun Wang
doaj   +1 more source

Application of Optimal Basis Functions in Full Waveform Inversion

, 2004
In full waveform inversion, the lack of low frequency information in the inversion results has been a long standing problem. In this work, we show that by using mixed basis functions this problem can be resolved satisfactorily.
SUN, Gang, CHANG, Qianshun, SHENG, Ping
core   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

Low‐Frequency Reconstruction for Full Waveform Inversion by Unsupervised Learning

Earth and Space Science
Obtaining reliable low‐frequency seismic data is crucial for effectively reducing cycle‐skipping in full waveform inversion. However, acquiring high signal‐to‐noise ratio low‐frequency information from field data remains a challenge.
Ningcheng Cui, Tao Lei, Wei Zhang
doaj   +1 more source

Full waveform inversion based on deep learning and the phase-preserving symplectic partitioned Runge-Kutta method

Frontiers in Earth Science
To obtain more accurate full waveform inversion results, we present a forward modeling method with minimal phase error, low numerical dispersion, and high computational efficiency.
Yanjie Zhou, Xianxiang Leng, Xueyuan Huang, Xijun He, Tianming Cao   +4 more
doaj   +1 more source

A Compendium of Logic Gates Based on Reconfigurable Three‐Independent‐Gate Transistors Realized in FDSOI Hardware

Advanced Electronic Materials, EarlyView.
This work electrically characterizes sixteen logic gates built from three‐independent‐gate reconfigurable transistors fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted FDSOI process of GlobalFoundries. Static and time‐resolved measurements confirm correct operation, including a 1‐bit adder and reconfigurable AOI/OAI ...
Juan P. Martinez, Yuxuan He, Giulio Galderisi, Violetta Sessi, Niladri Bhattacharjee, Peter Baars, Kerstin Poenisch, Annekathrin Zeun, Konstantin Li, Fernando Koch, Binit Syamal, Thomas Mikolajick, Jens Trommer   +12 more
wiley   +1 more source

sFWI: physics-informed score-based generative modeling for robust full waveform inversion

Machine Learning: Science and Technology
Full waveform inversion (FWI) is an important geophysical imaging technique with applications in hydrocarbon exploration, subsurface carbon storage, and earthquake hazard assessment. However, FWI’s efficacy is greatly affected by its ill-posed, nonlinear
Zicheng Gai, Yanfei Wang
doaj   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +1 more source