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

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

collaborators

15 papers

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…

cond-mat.mtrl-sci2025

A Novel Computational Thermodynamics Framework with Intrinsic Chemical Short-Range Order

Chuliang Fu

Chemical short-range order (SRO) provides new opportunities for tuning alloy properties, but conventional computational thermodynamics frameworks such as CALPHAD, based on Bragg-Wi…

cond-mat.mtrl-sci2025

Tuning chiral anomaly signature in a Dirac semimetal via fast-ion implantation

Manasi Mandal, Eunbi Rha, Abhijatmedhi Chotrattanapituk +13

CdAs is a prototypical Dirac semimetal that hosts a chiral anomaly and thereby functions as a platform to test high-energy physics hypotheses and to realize energy efficien…

cond-mat.mtrl-sci2025★ 1 cited

Spatiotemporal Mapping of Anisotropic Thermal Transport in GaN Thin Films via Ultrafast X-ray Diffraction

Thanh Nguyen, Chuliang Fu, Mouyang Cheng +17

Efficient thermal management is essential for the reliability of modern power electronics, where increasing device density leads to severe heat dissipation challenges. However, in…

cond-mat.mtrl-sci2025

A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra

Mouyang Cheng, Chu-Liang Fu, Bowen Yu +5

Defects are ubiquitous in solids and strongly influence materials' mechanical and functional properties. However, non-destructive characterization and quantification of defects, es…

cond-mat.mtrl-sci2025

AI-Driven Defect Engineering for Advanced Thermoelectric Materials

Chu-Liang Fu, Mouyang Cheng, Nguyen Tuan Hung +7

Thermoelectric materials offer a promising pathway to directly convert waste heat to electricity. However, achieving high performance remains challenging due to intrinsic trade-off…

cond-mat.mtrl-sci2025★ 8 cited

AI-driven materials design: a mini-review

Mouyang Cheng, Chu-Liang Fu, Ryotaro Okabe +4

Materials design is an important component of modern science and technology, yet traditional approaches rely heavily on trial-and-error and can be inefficient. Computational techni…

cond-mat.soft2025

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…

cond-mat.mtrl-sci2024

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…

cond-mat.mtrl-sci2024

Thickness-Dependent Polaron Crossover in Tellurene

Kunyan Zhang, Chuliang Fu, Shelly Kelly +12

Polarons, quasiparticles arising from electron-phonon coupling, are crucial in understanding material properties such as high-temperature superconductivity and colossal magnetoresi…

cond-mat.mtrl-sci2024

Anomalous Neutron Nuclear-Magnetic Interference Spectroscopy

Chuliang Fu, Phum Siriviboon, Artittaya Boonkird +4

The electron-phonon interaction plays a critical role in materials electrical, thermal, optical, and superconducting properties. However, measuring the phonon mode-resolved electro…