Results 261 to 270 of about 70,734 (340)

Methane and Ethane Emission Rates, Intensities, and Trends: Aircraft Mass Balance Insights Over the Denver‐Julesburg Basin, Fall 2021

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract Despite a 2.1‐fold increase in oil and gas (O&G) production from 2012 to 2021 in the Wattenberg Field (WF) area of the Denver‐Julesburg Basin (DJB), total methane (CH4) emissions have remained unchanged within measurement uncertainties (26.0 ± 6.8 t/hr in 2012, 24.0 ± 5 t/hr in 2015, and 21.4 ± 5.7 t/hr in 2021), while ethane (C2H6) emissions ...
H. M. Daley, R. R. Dickerson, P. Stratton, H. He, X. Ren, A. R. Koss, W. A. Brewer, S. Baidar, B. Hmiel, D. Bon, G. Pierce, P. Weibring, D. Richter, J. Walega, M. C. Ngulat, A. Santos, A. L. Hodshire, T. L. Vaughn, D. Zimmerle, A. Fried   +19 more
wiley   +1 more source

The Role of Phase-Change Memory in Edge Computing and Analog In-Memory Computing: An Overview of Recent Research Contributions and Future Challenges. [PDF]

Sensors (Basel)
Antolini A, Zavalloni F, Lico A, Quqa S, Greco L, Mangia M, Pareschi F, Pasotti M, Franchi Scarselli E.   +8 more
europepmc   +1 more source

Stochastic Optimization using Automatic Relevance Determination Prior Model for Bayesian Compressive Sensing Technique in Structural Health Monitoring

, 2012
Yong Huang, James L. Beck, Stephen Wu, Hui Li   +3 more
openalex   +1 more source

Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net

International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley   +1 more source

Machine Learning in Gel-Based Additive Manufacturing: From Material Design to Process Optimization. [PDF]

Gels
Zhang Z, Wang Y, Wang W.
europepmc   +1 more source

BiGSM: Bayesian inference of gene regulatory network via sparse modelling. [PDF]

Bioinformatics
Qin H, Garbulowski M, Sonnhammer ELL, Chatterjee S.   +3 more
europepmc   +1 more source

AI-powered non-destructive testing for smart manufacturing of carbon-negative biopolymer-bound soil composite. [PDF]

Commun Eng
Miao BH, Dong Y, Theissler A, Lesh AC, Loftus DJ, Lepech MD.   +5 more
europepmc   +1 more source

Advanced Numerical Modeling of Powder Bed Fusion: From Physics-Based Simulations to AI-Augmented Digital Twins. [PDF]

Materials (Basel)
Łach Ł, Svyetlichnyy D.
europepmc   +1 more source

MLD-Net: A Multi-Level Knowledge Distillation Network for Automatic Modulation Recognition. [PDF]

Sensors (Basel)
Zhang X, Zhang L, Zhang M, Zhang Z, Li P, Shi X, Zhou F.   +6 more
europepmc   +1 more source

Prediction of coal mine water conduction fracture zone height based on integrated learning model. [PDF]

Sci Rep
Wang M, Zhang X, Li X, Fang Z, Wei Y, Qin H, Wang S, Liu T, Zheng Y.   +8 more
europepmc   +1 more source