Results 61 to 70 of about 17,864 (202)

GPUMDkit: A User‐Friendly Toolkit for GPUMD and NEP

Materials Genome Engineering Advances, Volume 4, Issue 2, June 2026.
GPUMDkit is a comprehensive and user‐friendly toolkit for GPUMD and NEP programs, integrating format conversion, structure sampling, property calculation, and visualization into a unified interface, substantially lowering the barrier to entry for machine‐learning molecular dynamics simulations with GPUMD and NEP.
Zihan Yan, Denan Li, Xin Wu, Zhoulin Liu, Chen Hua, Boyi Situ, Hao Yang, Shengjie Tang, Benrui Tang, Ziyang Wang, Shangzhao Yi, Huan Wang, Dian Huang, Ke Li, Qilin Guo, Zherui Chen, Ke Xu, Yanzhou Wang, Ziliang Wang, Gang Tang, Shi Liu, Zheyong Fan, Yizhou Zhu   +22 more
wiley   +1 more source

FPGA-based real-time implementation for direction-of-arrival estimation

The Journal of Engineering, 2017
Direction-of-arrival (DOA) estimation of radio signals is of utmost importance in many commercial and military applications. In this study, the authors propose an efficient field-programmable gate array (FPGA) architecture for implementing a recently ...
Abdulrahman Alhamed, Nizar Tayem, Nizar Tayem, Tariq Alshawi, Saleh Alshebeili, Abdullah Alsuwailem, Ahmed Hussain   +6 more
doaj   +1 more source

Multi‐Species Constraints Resolve Methane Source Versus Sink Changes: Lessons From 2020

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract Satellite observations show that atmospheric methane (CH4) increased by a record‐breaking 19 ppb in 2020, but the causes are unclear because of uncertain impacts from COVID‐related pollutant shifts on hydroxyl (OH) radical concentrations. Here we employ an ensemble of constraints to simultaneously quantify methane sources and sinks for 2020 in
Xueying Yu, Dylan B. Millet, Daven K. Henze, Helen Worden, Corinne Vigouroux, Prabir Patra, Jason D. Hill, Robert B. Jackson   +7 more
wiley   +1 more source

Compressive Sensing for High-Resolution Direction-of-Arrival Estimation via Iterative Optimization on Sensing Matrix

International Journal of Antennas and Propagation, 2015
A novel compressive sensing- (CS-) based direction-of-arrival (DOA) estimation algorithm is proposed to solve the performance degradation of the CS-based DOA estimation in the presence of sensing matrix mismatching. Firstly, a DOA sparse sensing model is
Hongtao Li, Chaoyu Wang, Xiaohua Zhu
doaj   +1 more source

Parallel Complementary Virtual Arrays Algorithm for Direction of Arrival (DOA) Estimation

International Journal on Recent and Innovation Trends in Computing and Communication, 2023
This Paper discusses the challenges faced by previous method 2D Direction of Arrival (DOA) systems, such as low degrees of freedom, poor resolution, and significant estimation errors in scenarios with small snapshots. In response to these issues, the present method proposes a low-complexity 2D Direction of Arrival (DOA) estimation algorithm based on a ...
openaire   +1 more source

Decoding XCO2 Distributions Over the Indian Subcontinent Using Deep Neural Network Based High‐Resolution Long‐Term Satellite Observations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract India often faces challenges in monitoring atmospheric carbon dioxide (CO2) through satellite observations due to persistent cloud cover, especially during the monsoon season. This limitation affects the continuous tracking of carbon and hinders accurate assessments of carbon‐climate interactions.
Digvijay Kumar Singh, Ravi Kumar Kunchala, Sarvesh Dubey, Chiranjit Das, Balaji Baduru   +4 more
wiley   +1 more source

A Priori-Based Subarray Selection Algorithm for DOA Estimation

Sensors, 2020
A finer direction-of-arrival (DOA) estimation result needs a large and dense array; it may, however, encounter the mutual coupling effect, which degrades the performance of DOA estimation.
Linghao Zeng, Guanghua Zhang, Chongzhao Han   +2 more
doaj   +1 more source

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa, A. Folch, Y. J. Suzuki, L. Mingari, G. Macedonio   +4 more
wiley   +1 more source

Evaluating TEMPO Formaldehyde Retrievals With Co‐Located Ground‐Based FTIR and Pandora Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Formaldehyde (HCHO) is an important proxy for volatile organic compounds and photochemical activity, with significant implications for air quality and atmospheric chemistry. The recently launched geostationary satellite instrument Tropospheric Emissions: Monitoring of Pollution (TEMPO) provides the first‐ever hourly observations of HCHO and ...
Ivan Ortega, James W. Hannigan, David Edwards, Wolfgang Stremme, Michel Grutter, Andrea Cadena‐Caicedo, Kimberly Strong, Victoria Flood, Xiaoyi Zhao, Gonzalo Gonzalez Abad, Caroline R. Nowlan   +10 more
wiley   +1 more source

A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario

IEEE Access
Direction-of-arrival (DOA) estimation plays a crucial role in array signal processing across various domains, including radar, sonar, wireless communications, and seismic exploration. However, traditional DOA techniques often assume either far-field (FF)
A. Molaei, B. Zakeri, S. Andargoli, M. A. B. Abbasi, V. Fusco, O. Yurduseven   +5 more
semanticscholar   +1 more source