Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...
What physical processes govern the movement of microscopic structures capable of interacting with their environment? The ...
A web-based platform integrating generalized global neural network potentials and diffusion generative models was developed ...
Flux balance analysis is a mathematical approach for analyzing the flow of metabolites through a metabolic network. This primer covers the theoretical basis of the approach, several practical examples ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
This repository contains an implementation of the paper : Physics-Based Super-Resolved Simulation of 3d Elastic Wave Propagation Adopting Scalable Diffusion ...
End-to-end processing chain: DL-SCH encoding → PDSCH → Precoding → CP-OFDM → CDL/TDL Channel → Receiver (timing sync, demodulation, channel estimation, decoding) with CSI feedback and HARQ ...
Abstract: Safety-critical traffic simulation plays a crucial role in evaluating autonomous driving systems under rare and challenging scenarios. However, existing approaches often generate unrealistic ...
Abstract: Speech-driven 3D facial animation is important for many multimedia applications. Recent work has shown promise in using either Diffusion models or Transformer architectures for this task.
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