NSTL国家科技图书文献中心

1. Geometry and deformation of the sole of a large obducted ophiolitic unit: insights from surface geology and airborne electromagnetics - Peridotite Nappe, New Caledonia NSTL国家科技图书文献中心

Benjamin Le Bayon | Pierre Maurizot ... - 《New Zealand journal of geology & geophysics》 - 2025,68(1) - 1～19 - 共19页

摘要： electromagnetics data, structural analysis, and field data, we | To clarify the serpentinite correlation and | kinematics in New Caledonia, we focus on the northwestern | boundary of the Massif du Sud and the Mont Do Massif, in | the Boulouparis area. On the basis of airborne

关键词： New Caledonia | ophiolite | Peridotite Nappe | serpentinite | airborne electromagnetics | obduction

2. Characterization of a shallow aquifer in Acoculco geothermal area (Mexico) by applying Transient Electromagnetics NSTL国家科技图书文献中心

Ruiz-Aguilar, D. | Arango-Galvan, C.... - 《Journal of South American earth sciences》 - 2025,156(Apr.) - 1.1～1.8 - 共8页

摘要：We present a characterization of the aquifer | located in the Acoculco geothermal area in Mexico using | Transient Electromagnetic (TEM) data. A total of 65 TEM | soundings were collected, spatially distributed across the | survey area, using a 100 x 100 m2 single-loop

关键词： SPATIALLY CONSTRAINED INVERSION | EXPLORATION | ALGORITHM

3. Effects of anthropogenic electromagnetic fields used for subsurface oil and gas exploration (controlled-source electromagnetics, CSEM) on the early development of Atlantic haddock (Melanogrammus aeglefinus) NSTL国家科技图书文献中心

Guillebon C. | Perrichon P.... - 《Marine pollution bulletin》 - 2025,211(Feb.) - 1.1～1.9 - 共9页

摘要： electromagnetics (CSEM) uses electromagnetic fields (EMF) to | © 2024 The AuthorsControlled source | detect oil reservoirs. Atlantic haddock, Melanogrammus | aeglefinus, is a commercially important demersal fish | species that can potentially be impacted by such surveys

关键词： Fish larvae | Heart rate | Hydrocarbon exploration | Ontogeny | Yolk sac

4. Erratum to “Efficient and Physically Consistent Modeling of Reconfigurable Electromagnetic Structures” NSTL国家科技图书文献中心

Alexander Stutz-Tirr... | Georg Schwan ... - 《IEEE Open Journal of the Communications Society》 - 2025,6 - 2453～2453 - 共1页

摘要：Presents corrections to the paper, (Erratum | to Efficient and Physically Consistent Modeling of | Reconfigurable Electromagnetic Structures).

关键词： Electromagnetics

5. One-dimensional deep learning inversion of marine controlled-source electromagnetic data NSTL国家科技图书文献中心

Pan Li | Zhijun Du ... - 《Geophysical Prospecting》 - 2025,73(1) - 397～417 - 共21页

摘要：This paper explores the application of machine | learning techniques, specifically deep learning, to the | inverse problem of marine controlled-source | electromagnetic data. A novel approach is proposed that combines | the convolutional neural network and recurrent

关键词： deep learning | electromagnetics | inversion

6. Three-dimensional electromagnetic inversion of transfer function data from controlled sources NSTL国家科技图书文献中心

Paula Rulff | Thomas Kalscheuer ... - 《Geophysical Prospecting》 - 2025,73(2) - 543～561 - 共19页

摘要：We develop a three-dimensional inversion code | to image the resistivity distribution of the | subsurface from frequency-domain controlled-source | electromagnetic data. Controlled-source electromagnetic | investigations play an important role in many different

关键词： electromagnetics | imaging | inversion | resistivity

7. Transfer Learning Based Rapid Design of Frequency and Dielectric Agile Antennas NSTL国家科技图书文献中心

Aggraj Gupta | Uday K Khankhoje - 《IEEE journal on multiscale and multiphysics computational techniques》 - 2025,10 - 47～57 - 共11页

摘要： prominence in the electromagnetics* community for designing* | Deep learning frameworks are gaining | microwave and mm-wave devices. This paper presents a | computationally efficient transfer learning technique for | designing and scaling multi-band microstrip antennas to a

关键词： Antennas | Atmospheric modeling | Training | Transfer learning | Dielectrics | Microstrip antennas | Computational modeling | Microwave antennas | Electromagnetics | Design methodology

8. Magnetotelluric Inversion Based on Double-Layer Convolutional Neural Network NSTL国家科技图书文献中心

Han Lin | Jianfeng Jin ... - 《IEEE geoscience and remote sensing letters》 - 2025,22 - 1～5 - 共5页

摘要：A double-layer neural network combining a | fully convolutional network (FCN) and U-Net is | introduced to improve the accuracy of 2.5-D magnetotelluric | (MT) inversion. The initial model obtained through | the Bostick inversion method is randomly transformed

关键词： Conductivity | Neural networks | Training | Accuracy | Data models | Convolutional neural networks | Magnetic resonance imaging | Receivers | Electromagnetics | Resistance

9. Influence of Flux Barrier Shape and Mechanical Constraints on Field-Weakening Performance in Double-Layer Interior Permanent Magnet Machines NSTL国家科技图书文献中心

Elisabet Jansson | Torbjörn Thiringer ... - 《IEEE Transactions on Energy Conversion》 - 2025,40(1) - 30～42 - 共13页

摘要：This paper investigates the influence of flux | barrier shape on the field-weakening performance of | interior permanent magnet rotors with two layers of | magnets. The field-weakening performance of four | topologies, with different flux barrier shape, has been

关键词： Rotors | Shape | Geometry | Topology | Ribs | Optimization | Electromagnetics

10. Efficient Physical Truncation of Low-Frequency ATEM Problems in Specific Geometries by Using Random Forest Regression Based PMM Model NSTL国家科技图书文献中心

Naixing Feng | Shuiqing Zeng ... - 《IEEE journal on multiscale and multiphysics computational techniques》 - 2025,10 - 1～7 - 共7页

摘要：-frequency airborne transient electromagnetics* (ATEM), it* | In addressing the challenges posed by low | is necessary to take into account the | considerations of accuracy, computational efficiency, and the | scale and intricacy of the physical domain. This

关键词： Computational modeling | Accuracy | Finite difference methods | Decision trees | Solid modeling | Random forests | Time-domain analysis | Training | Three-dimensional displays | Electromagnetics

摘要： electromagnetics data, structural analysis, and field data, we | To clarify the serpentinite correlation and | kinematics in New Caledonia, we focus on the northwestern | boundary of the Massif du Sud and the Mont Do Massif, in | the Boulouparis area. On the basis of airborne

关键词： New Caledonia | ophiolite | Peridotite Nappe | serpentinite | airborne electromagnetics | obduction

摘要：We present a characterization of the aquifer | located in the Acoculco geothermal area in Mexico using | Transient Electromagnetic (TEM) data. A total of 65 TEM | soundings were collected, spatially distributed across the | survey area, using a 100 x 100 m2 single-loop

关键词： SPATIALLY CONSTRAINED INVERSION | EXPLORATION | ALGORITHM

摘要： electromagnetics (CSEM) uses electromagnetic fields (EMF) to | © 2024 The AuthorsControlled source | detect oil reservoirs. Atlantic haddock, Melanogrammus | aeglefinus, is a commercially important demersal fish | species that can potentially be impacted by such surveys

关键词： Fish larvae | Heart rate | Hydrocarbon exploration | Ontogeny | Yolk sac

摘要：Presents corrections to the paper, (Erratum | to Efficient and Physically Consistent Modeling of | Reconfigurable Electromagnetic Structures).

关键词： Electromagnetics

摘要：This paper explores the application of machine | learning techniques, specifically deep learning, to the | inverse problem of marine controlled-source | electromagnetic data. A novel approach is proposed that combines | the convolutional neural network and recurrent

关键词： deep learning | electromagnetics | inversion

摘要：We develop a three-dimensional inversion code | to image the resistivity distribution of the | subsurface from frequency-domain controlled-source | electromagnetic data. Controlled-source electromagnetic | investigations play an important role in many different

关键词： electromagnetics | imaging | inversion | resistivity

摘要： prominence in the electromagnetics community for designing | Deep learning frameworks are gaining | microwave and mm-wave devices. This paper presents a | computationally efficient transfer learning technique for | designing and scaling multi-band microstrip antennas to a

关键词： Antennas | Atmospheric modeling | Training | Transfer learning | Dielectrics | Microstrip antennas | Computational modeling | Microwave antennas | Electromagnetics | Design methodology

摘要：A double-layer neural network combining a | fully convolutional network (FCN) and U-Net is | introduced to improve the accuracy of 2.5-D magnetotelluric | (MT) inversion. The initial model obtained through | the Bostick inversion method is randomly transformed

关键词： Conductivity | Neural networks | Training | Accuracy | Data models | Convolutional neural networks | Magnetic resonance imaging | Receivers | Electromagnetics | Resistance

摘要：This paper investigates the influence of flux | barrier shape on the field-weakening performance of | interior permanent magnet rotors with two layers of | magnets. The field-weakening performance of four | topologies, with different flux barrier shape, has been

关键词： Rotors | Shape | Geometry | Topology | Ribs | Optimization | Electromagnetics

摘要：-frequency airborne transient electromagnetics (ATEM), it | In addressing the challenges posed by low | is necessary to take into account the | considerations of accuracy, computational efficiency, and the | scale and intricacy of the physical domain. This

关键词： Computational modeling | Accuracy | Finite difference methods | Decision trees | Solid modeling | Random forests | Time-domain analysis | Training | Three-dimensional displays | Electromagnetics

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国家科技图书文献中心

摘要： prominence in the electromagnetics* community for designing* | Deep learning frameworks are gaining | microwave and mm-wave devices. This paper presents a | computationally efficient transfer learning technique for | designing and scaling multi-band microstrip antennas to a

摘要：-frequency airborne transient electromagnetics* (ATEM), it* | In addressing the challenges posed by low | is necessary to take into account the | considerations of accuracy, computational efficiency, and the | scale and intricacy of the physical domain. This