From the 1 of 48 linked papers with an AI index.
1 citations · 1 across the 14 of their papers we have counts for
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Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation
VinÃcius Yu Okubo, Kotaro Shimizu, B. S. Shivaram +2
Labyrinthine stripe patterns are common in many physical systems, yet their lack of long-range order makes quantitative characterization challenging. We investigate the evolution o…
From Quantum Annealing to Alloy Discovery: Towards Accelerated Design of High-Entropy Alloys
Diego Ibarra-Hoyos, Peter Connors, Ho Jang +6
Data scarcity remains a central challenge in materials discovery, where finding meaningful descriptors and tuning models for generalization is critical but inherently a discrete op…
Quantum-Annealing Enhanced Machine Learning for Interpretable Phase Classification of High-Entropy Alloys
Diego Ibarra Hoyos, Gia-Wei Chern, Israel Klich +1
High entropy alloys (HEAs) offer unprecedented compositional flexibility for designing advanced materials, yet predicting their crystallographic phases remains a key bottleneck due…
Machine learning approach for vibronically renormalized electronic band structures
Niraj Aryal, Sheng Zhang, Weiguo Yin +1
We present a machine learning (ML) method for efficient computation of vibrational thermal expectation values of physical properties from first principles. Our approach is based on…