Results 101 to 110 of about 28,700 (316)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Natural Gas Pipeline Company of America, docket no. CP72-233, Sabine Pass Project.

, 1973
91 p.The administrative action here involved arises from an application filed by Natural Gas Pipeline Company of America (Natural) seeking authorization pursuant to Section 7 of the Natural Gas Act for a certificate of public convenience and necessity ...
U.S. Federal Power Commission, Bureau of Natural Gas
core  

Analysis of disaster risk to oil and gas pipelines and the effect of CFG reinforcement on high-fill slopes in Yunnan

Zhongguo dizhi zaihai yu fangzhi xuebao
The study aims to investigate the stability of high fill slopes and their impact on oil and gas pipelines at the foot of the slopes in a key construction project located in Anning City, Yunnan Province.
Zhangzhen LIU, Fayou A, Jing ZHANG, Dashen YANG, Xiaobo LIU   +4 more
doaj   +1 more source

Field‐Frustrated Cooperative Distortions: Suppressing Jahn‐Teller Ordering via Microwave Annealing

Advanced Science, EarlyView.
Microwave annealing decouples local Jahn‐Teller distortions from long‐range cooperative ordering in CuFe2O4, stabilizing a metastable cubic phase that remains locally distorted yet globally symmetry‐frustrated. Synchrotron XRD, PDF, XPS, and in situ thermal cycling reveal how non‐equilibrium MW‐phonon interactions suppress cooperative orbital‐lattice ...
Daryoosh Vashaee, Kelvin Dsouza
wiley   +1 more source

The Secondary Market for Capacity in Natural Gas Transportation [PDF]

The purpose of this paper is to consider the problem of allocating the costs of a public facility with large fixed costs and increasing returns to scale. A particular case is considered for the natural gas transportation industry.
Rigoberto Ariel Yépez
core  

Calculation method for target reliability of natural gas pipeline systems [PDF]

Objective The natural gas pipelines are large-scale, intricate, and open systems composed of multiple units, with a specialized focus on ensuring safe and reliable operation. Intensive research on pipeline system reliability has been conducted, gradually
Kai YANG, Ranran WEI, Guangyu YAO, Qiaofei SUN, Honglong ZHENG, Daquan LI   +5 more
core   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Pricing and access under National Competition Policy: the case of the natural gas pipeline sector

, 1998
This paper reviews the development of open access and deregulation of trunk pipeline natural gas transportation in Australia and the United States. It investigates Australian policy developments in the setting of reference tariffs for firm service, but ...
Lawrey, Roger
core   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation

You-qi chuyun
Objective The pipe bending strain identification technology based on an inertial mapping unit (IMU) in-line detector has seen extensive applications in China and abroad.
Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG   +7 more
doaj   +1 more source