Multidisciplinary assessment of seasonal ground displacements at the Hatfield Moors gas storage site in a peat bog landscape. [PDF]
Fibbi G +4 more
europepmc +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Study on the deformation and failure laws of surrounding rock under reduced roof thickness in Salt Cavern Gas Storage. [PDF]
Zhang H, Li Q, Yue X, Ba J, Ding S.
europepmc +1 more source
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Pore-Scale Gas Storage Mechanisms, Characteristics, and Influencing Factors in Water-Bearing Shale: Insights from Molecular Dynamics Simulations. [PDF]
Zhang X +7 more
europepmc +1 more source
Comprehensive weighted matter-element extension method for the safety evaluation of underground gas storage. [PDF]
Bi A, Luo Z, Kong Y, Zhao L.
europepmc +1 more source
A Tracer Diffusion Study of Diverse Photo‐Ionic Phenomena in Strontium Titanate
Two strong interfacial photo‐ionic effects are demonstrated for the model system SrTiO3 through the application of isotope exchange experiments: UV illumination is found to enhance the oxygen surface exchange coefficient by several orders of magnitude and to depress the surface space‐charge potential substantially.
David M. Schwenkel +3 more
wiley +1 more source
Assessment of the in situ biomethanation potential of a deep aquifer used for natural gas storage. [PDF]
Ranchou-Peyruse M +5 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

