510 results on '"Lowther, David"'
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2. Evaluating magnetic fields using deep learning
3. Guest editorial: Optimization and inverse problems in electromagnetism
4. Encountering ‘colonial science’ in the visual archive
5. Guest editorial: Recent advances in computational electromagnetics
6. Correlating structural complexity and acoustic noise performance of electric motors
7. Guest editorial: Preface
8. The reverent eye : scientific visual culture and the origins of modern British zoology, 1815-1840
9. Design tools for electromagnetic-driven multi-physics systems using high performance computing
10. Design concepts of low-frequency electromagnetic devices based on a data-driven approach
11. Neural metamodels and transfer learning for induction heating processes (TEAM 36 problem)
12. The application of artificial intelligence and machine learning in the design process for electromagnetic devices
13. Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work?
14. Energy Harvesting Frictionless Brakes for Short-Haul Aircraft: Thermal and Electromagnetic Feasibility of an Axial-Flux Machine for a Landing Gear Drive System
15. A neural network for electromagnetic based ore sorting
16. Restricting the design space of multiple-barrier rotors of synchronous reluctance machines
17. Analysis and design of electrical machines with material uncertainties in iron and permanent magnet
18. Field-based optimal-design of an electric motor: a new sensitivity formulation
19. Physics-Informed Neural Networks for Inverse Electromagnetic Problems
20. The Application of Neural Networks to the Modeling of Magnetic Hysteresis
21. Application of Reduced-Order Models to the Analysis of 3-D Electrical Machines
22. Un-Gentlemanly Science
23. The prediction of iron losses under PWM excitation using the classical Preisach model
24. Application of Reduced-Order Models to the Analysis of 3-Dimensional Electrical Machines
25. Guest editorial
26. Generalizable DNN based multi-material Hysteresis Modelling
27. Physics- Informed Neural Networks for Inverse Electromagnetic Problems
28. A Numerical Twin Model for the Coupled Field Analysis of TEAM Workshop Problem 36
29. A Study of the Relationship between Acoustic Noise and Torque Pulsation in Permanent Magnet Synchronous Motors
30. Generalizable Deep Neural Network Based Multi-Material Hysteresis Modeling
31. Application of Surrogate Models to the Multiphysics Sizing of Permanent Magnet Synchronous Motors
32. Physics Informed Neural Networks for Electromagnetic Analysis
33. Reinforcement Learning for Topology Optimization of a Synchronous Reluctance Motor
34. A robust objective function for topology optimization
35. Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors
36. Analysis of Approximation-Based Memetic Algorithms for Engineering Optimization
37. Ant colony optimization for the topological design of interior permanent magnet (IPM) machines
38. Design and synthesis of wide tuning range variable comb drive MEMS capacitors
39. Hybrid genetic algorithms using quadratic local search operators
40. NDT sensor design optimization for accurate crack reconstruction
41. Tolerance and multiobjective optimization in electromagnetic devices
42. Effects of Stator Laminations on Acoustic Noise of Electrical Machines
43. Automating the design of low frequency electromagnetic devices – a sensitive issue
44. A comparison of 2D and 3D analysis methods for the prediction of cogging torque in an electrical machine having skewed slots
45. Surrogate Models for Design and Optimization of Inverter-Fed Synchronous Motor Drives
46. A Study of Vibroacoustic Performance of Synchronous Motor Drives under Different Operating Conditions
47. Multi-objective optimization applied to the matching of a specified torque-speed curve for an internal permanent magnet motor
48. A hybrid design model for electromagnetic devices
49. Local electromagnetic force computation in the presence of numerical field errors
50. The implications of the use of composite materials in electromagnetic device topology and shape optimization
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