Results 161 to 170 of about 275,172 (274)

Strategic Investment in International Gas-Transport Systems: A Dynamic Analysis of the Hold-up Problem [PDF]

We develop a dynamic model of strategic investment in a transnational pipeline system. In the absence of international contract enforcement, countries may distort investment in order to increase their bargaining power, resulting in overinvestment in ...
Franz Hubert, Irina Suleymanova
core  

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Research on Gas Pipeline Leakage Prediction Model Based on Physics-Aware GL-TransLSTM. [PDF]

Biomimetics (Basel)
Wu C, Lu H, Liu D, Wang C, Gan J, Li Z.
europepmc   +1 more source

Frost Heaving Damage Mechanism of a Buried Natural Gas Pipeline in a River and Creek Region. [PDF]

Materials (Basel), 2022
Su W, Huang S.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network. [PDF]

PLoS One
Qin H, Huang X, Wang X, Zhou Z.
europepmc   +1 more source

Detection of Gas Pipeline Leakage Using Distributed Optical Fiber Sensors: Multi-Physics Analysis of Leakage-Fiber Coupling Mechanism in Soil Environment. [PDF]

Sensors (Basel), 2023
Zhang S, Xie S, Li Y, Yuan M, Qian X.
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Fueling Inequity: Geospatial Analyses Reveal Racial Patterns in Vulnerability to Natural Gas Pipeline Impacts in North Carolina. [PDF]

Geohealth
Tschoepe SA, Emanuel RE, Moreau G, Cada P.   +3 more
europepmc   +1 more source

Research on the Improving Performance of Foam Concrete Applied to the Filling of Natural Gas Pipeline Cross-River Tunnel. [PDF]

Materials (Basel), 2022
Ma X, Li C, Chen H, Wei Y, Weng Y, Li S, Hojiboev D.   +6 more
europepmc   +1 more source