3 papers
physics.atom-ph2026
Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields
Jiakang Chen, Sufia Hashim, Carla Figueira de Morisson Faria
We develop an unsupervised physics-informed neural network to solve saddle-point equations (SPEs) governing direct above-threshold ionization (ATI) within the strong-field approxim…
eess.IV2026
CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
Su Yan, Clara Rodrigo Gonzalez, Vincent C. H. Leung +11
Super-resolution ultrasound via microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy (ULM), can resolve microvasculature beyond the acoustic…
cs.LG2024
BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models
Xiangru Tang, Bill Qian, Rick Gao +3
Pre-trained large language models (LLMs) have significantly improved code generation. As these models scale up, there is an increasing need for the output to handle more intricate…