Results 101 to 110 of about 9,674 (265)

Natural gas implementation in Turkey. Part 2: Natural gas pipeline

, 2004
The Caspian Sea (CS) region's oil and gas potential has attracted much attention since the breakup of the Soviet Union. The nations in the CS region, namely Azerbaijan, Iran, Kazakhstan, Russia, Turkmenistan, and Uzbekistan, are already major energy producers, and production will increase with additional investment, technology, and the development of ...
Ozturk, HK, Hepbasli, A
openaire   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

MICROBIOLOGICAL CONTAMINATIONS OF UNDERGROUND GAS STORAGE FACILITIES AND NATURAL GAS PIPELINES [PDF]

Postępy Mikrobiologii, 2017
Agnieszka Staniszewska, Alin Kunicka-Styczyńska, Krzysztof Ziemiński   +2 more
doaj   +1 more source

Numerical Simulation Study of Gas Stratification in Hydrogen-Enriched Natural Gas Pipelines

Energies
Hydrogen blending in natural gas pipelines facilitates renewable energy integration and cost-effective hydrogen transport. Due to hydrogen’s lower density and higher leakage potential compared to natural gas, understanding hydrogen concentration ...
Tianlei Li, Jie Xiao, Honglin Zhang, Jinliang Cheng, Ke Li, Yaxi Wang, Yuanhua Lin   +6 more
doaj   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Emergence of Chiral Defective Pores Through Chiral Linker Exchange in Nonchiral MOFs for Enantioselective Recognition

Angewandte Chemie, EarlyView.
Chiral recognition remains challenging due to minimal property differences. This work develops chiral defective MOFs via linker exchange to enable rapid, direct, luminescent enantioselective sensing, offering a simple, modular strategy that broadens MOF functionality for portable, low‐cost applications in pharmaceuticals, food safety, and environmental
Zongsu Han, Kun‐Yu Wang, Jiatong Huo, Joshua Rushlow, Zhaoyi Liu, Yihao Yang, Rong‐Ran Liang, Wei Shi, Hong‐Cai Zhou   +8 more
wiley   +2 more sources