3 papers
cond-mat.supr-con2026
Machine learning reveals common features of unconventional superconductors with high transition temperatures
Haosheng Xu, Dongheng Qian, Yijun Yu +1
Superconductors with high critical temperatures that emerges beyond the phonon-mediated regime are usually considered unconventional in nature, yet unlike conventional superconduct…
cs.AR2026
FABO: Agent-Guided Discovery of Joint Breakpoint Optimization for Timing-Driven Routing Trees
Shang Liu, Wenji Fang, Jing Wang +3
The topology of a routing tree determines how a multi-pin net branches and shares physical wire, directly affecting wirelength, congestion, capacitance, and delay. We study a centr…
eess.IV2026
Multimodal Deep Learning for Uncertainty-Aware Radiation Pneumonitis Risk Prediction
Jin Yang, Tian Liu, Jing Wang +4
Radiation pneumonitis (RP) is a common and clinically significant toxicity of thoracic radiation therapy that can cause pulmonary morbidity and impair quality of life. Although con…