activity
20242026
most citedAI-driven materials design: a mini-review

8 citations · 9 across the 14 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

math.NA2026

A Polynomial-Scaling PDE Solver with Entanglement-Basis Tensor Networks

Abhijatmedhi Chotrattanapituk, Michael J. Landry, Chu-Liang Fu +1

We develop a finite element method (FEM) for partial differential equation (PDE) solver based on the entanglement-basis representation introduced in our companion work. By lifting…

math.NA2026

Tensor-Network Finite Elements for Analytic Operator Equations

Abhijatmedhi Chotrattanapituk, Michael J. Landry, Chu-Liang Fu +1

Operator equations (OEs) underpin quantitative modeling across science and engineering. Finite-element (FE) methods discretize continuous OEs into finite-dimensional algebraic syst…

cond-mat.mtrl-sci2026

Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning

Mouyang Cheng, Bowen Yu, Chu-Liang Fu +14

Grain-boundary (GB) dynamics control the stability, mechanical, and functional response of nanocrystalline materials, but direct experimental access to their slow non-equilibrium m…

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2026

Coupling Lattice Distortion and Cation Disorder to Control Li-ion Transport in Cation-Disordered Rocksalt Oxides

Zichang Zhang, Lihua Feng, Jiewei Cheng +7

Cation-disordered solids offer a rich chemical landscape where local coordination, lattice responses, and configurational disorder collectively, yet often implicitly, govern ion tr…