Results 161 to 170 of about 28,700 (316)

Investigation of hydrogen-induced crack propagation in X80 hydrogen-blended pipelines using CPFEM-CZM

管道保护
Utilizing the existing natural gas pipeline network for hydrogen-blended transportation is an effective approach to facilitate the large-scale adoption of hydrogen energy. However, hydrogen embrittlement in pipeline steel hinders the rapid development of
Xixian BAI, Taolong XU, Yankun JIA, Feng XIONG, Heng RONG, Youlv LI   +5 more
doaj  

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

LNG in the Northwestern Coast of Mexico: Impact on Prices of Natural Gas in Both Sides of the US-Mexico Border

This paper studies the possible impacts of LNG projects on natural gas prices in both sides of the US-Mexico border in California. In California, gas prices are high and the demand is expected to grow.
Elizalde, Alberto, Rosellon, Juan, Meritet, Sophie   +2 more
core  

The role of the Persian Gulf’s natural gas reserves for the European Union’s energy security [PDF]

, 2013
Energy, as a matter of security, is the major challenge during the 21st century. The energy mix in the world will change in the future, predominantly to renewable energy sources, followed by natural gas.
HOUSHIALSADAT, SEYED MOHAMMAD
core  

VALIANT: A Vision‐Authenticity Language Framework Through Integrated Experts and Aligned Numerical‐Textual Descriptors for Citri Reticulatae Pericarpium

Advanced Intelligent Systems, EarlyView.
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan, Bingxin Huang, Hannah H. Kim, Wentao Yu, Yinqian Luo, Terence T. W. Wong   +5 more
wiley   +1 more source

OPS TTO13 - Potential Impact Radius formulae for flammable gases other than natural gas. [PDF]

DTRS56-02-D-70036This report was prepared in accordance with the Statement of Work and proposal submitted inresponse to RFP for Technical Task Order Number 13 (TTO 13) entitled \u201cPotential Impact RadiusFormulae for Flammable Gases Other Than Natural ...
Michael Baker Jr., Inc.
core  

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source

Combined Gravimetric, Electrochemical, and Computational Research on Benzothiophene Derivatives as Effective Corrosion Inhibitors for Mild Steel

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Four benzothiophenes, thianaphthene (BT‐1), 3‐bromothianaphthene (BT‐2), benzo[b]thiophene‐2‐carboxaldehyde (BT‐3), and benzo[b]thiophene‐2‐carbonitrile (BT‐4), were tested as mild steel corrosion inhibitors in 1‐M HCl. The compounds have the similar benzothiophene core but differ in the substituents bound to the ring.
Nhlanhla G. Chirwa, Motsie Elija Mashuga, Mohammad Salman, Indra Bahadur   +3 more
wiley   +1 more source

Complexity Analysis of Bubble Plumes in Power Law Fluids Based on Chaos Theory

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reveal the complexity of the internal flow of bubble plume in power law fluid, the flow characteristics and chaotic characteristics of plume are studied by experiment and theory. The chaotic characteristic parameters (correlation dimension D, K entropy, and Lyapunov exponent λ) of gas velocity under different superficial gas ...
Xin Dong, Chong Dong, Can Xue, Meiheng Peng, Ying Feng, Jianwei Zhang, Yinuo Liu   +6 more
wiley   +1 more source

Research on Leakage Diffusion and Prediction Model of Multifactor High-Pressure Buried Hydrogen-Blended Natural Gas Pipeline. [PDF]

ACS Omega
Ban J, Wang X, Yang W, Liu G, Wang X, Yan X, Yuan X.   +6 more
europepmc   +1 more source