Proposes a zero-copy architecture that eliminates the CPU/GPU data transfer bottleneck in Physics-AI workloads by leveraging Apple Silicons unified memory. Describes a pipeline where particle simulation data (OpenFPM/Metal) resides in shared memory that MLX neural networks can read in-place, enabling real-time physics-ML feedback loops impossible on discrete GPU architectures.
This deposit contains the field data, synthetic training datasets, trained network weights and analysis code supporting the article "Physics-informed neural network inversion of electrical resistivity tomography data: amortized optimization with field validation in the Moroccan M…
## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…
Abstract: 5G is rolled out and next generation 6G networks are also being developed, ultra-low latency (URLL) communication as a standard is critical in supporting the plethora of applications, spanning autonomous vehicles, immersive extended reality experience, etc. However, tra…
We present a comprehensive automated solution for 3D seismic fault detection and interpretation that combines deep learning with advanced geometric post-processing. The method integrates a 3D U-Net neural network trained on synthetic data with normalized distance function targets…
Here’s a line that’s been true for a while now but that we don’t talk about enough: the oldwalls between pure mathematical analysis, numerical computation, and mechanical modelingare quietly coming down, and modern scientific machine learning is basically the wreckingball. In thi…
Rigorous teaching companion for the KTH graduate course in subatomic physics. In this course you get to dive into the world of subatomic physics where exciting phenomena from quantum mechanics and the theory of relativity meet. It introduces you to nuclear physics, where the atom…