3 papers
cs.LG2026
PowerGenie: Analytically-Guided Evolutionary Discovery of Superior Reconfigurable Power Converters
Jian Gao, Yiwei Zou, Abhishek Pradhan +4
Discovering superior circuit topologies requires navigating an exponentially large design space-a challenge traditionally reserved for human experts. Existing AI methods either sel…
cond-mat.mtrl-sci2026
Towards Agentic Intelligence for Materials Science
Huan Zhang, Yizhan Li, Wenhao Huang +18
The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true acceleration in discovery requires moving beyond task-iso…
cs.CV2026
PQTNet: Pixel-wise Quantitative Thermography Neural Network for Estimating Defect Depth in Polylactic Acid Parts by Additive Manufacturing
Lei Deng, Wenhao Huang, Chao Yang +3
Defect depth quantification in additively manufactured (AM) components remains a significant challenge for non-destructive testing (NDT). This study proposes a Pixel-wise Quantitat…