From the 1 of 6 linked papers with an AI index.
6 papers
Tensor-Network Finite Elements for Analytic Operator Equations
Abhijatmedhi Chotrattanapituk, Michael J. Landry, Chu-Liang Fu +1
The paper introduces a framework that combines finite-element discretization with tensor-network representations to solve analytic operator equations, converting nonlinear PDEs int…
Quantum Theory of Functionally Graded Materials
Michael J. Landry, Ryotaro Okabe, Chuliang Fu +1
Functionally graded materials (FGMs) are composites whose composition or microstructure varies continuously in space, producing position-dependent mechanical and functional propert…
Chimeric states of matter: Meissner effect without superconductivity
Michael J Landry, Mingda Li
Symmetry is central to how we classify phases of matter: solids break spatial translations, superfluids break particle-number conservation, and superconductors "break" gauge symmet…
Reinforcement learning-guided optimization of critical current in high-temperature superconductors
Mouyang Cheng, Qiwei Wan, Bowen Yu +3
High-temperature superconductors are essential for next-generation energy and quantum technologies, yet their performance is often limited by the critical current density (),…
Theory of the Photomolecular Effect
Michael J. Landry, Chuliang Fu, James H. Zhang +3
It is well-known that water in both liquid and vapor phases exhibits exceptionally weak absorption of light in the visible range. Recent experiments, however, have demonstrated tha…
Quantum Theory of X-ray Photon Correlation Spectroscopy
Phum Siriviboon, Chu-Liang Fu, Michael Landry +4
Characterizing quantum materials is essential for understanding their microscopic interactions and advancing quantum technology. X-ray photon correlation spectroscopy (XPCS) with c…