Ming Chi University of Technology

Concentration, Positional Persistence, and Institutional Mobility Across Five Major Public Research Funding Systems

This study compares the concentration, positional persistence, institutional mobility, and performance associations observed in five major public research funding systems: NSF, NSFC, JSPS, NSERC, and NSTC. Institution-year funding records are linked to SciVal indicators, while ex...

Reliability-aware dual-representation DCE-MRI segmentation with disagreement-guided quality control for breast tumor delineation

Automated breast tumor segmentation on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) may support quantitative imaging analysis, but case-level segmentation failures remain a concern in heterogeneous multicenter data. We evaluated a reliability-aware dual-represen...

Synchrotron X-ray-informed machine learning for local hardness mapping in a Cu–Ni–Ti–Hf–Zr high-entropy shape-memory alloy

A supervised machine-learning framework was used to relate colocated synchrotron X-ray fluorescence (XRF), X-ray nanodiffraction (XND), thermodynamic descriptors, and nanoindentation measurements to local hardness in an as-cast Cu 15 Ni 35 Ti 25 Hf 12. 5Zr 12.5 high-entropy shape...

Interfacial engineering of HA-coated PEEK through microstructure control and sulfonate functionalization for improved cytocompatibility and antibacterial activity

Background The development of multifunctional biomaterial surfaces that simultaneously support bone-cell responses and reduce bacterial infection is important for orthopedic implants. However, polymer-based polyetheretherketone (PEEK) material exhibits limited surface bioactivity...

Vacancy diffusion in transition metal diborides using diverse machine-learning potentials

Machine-learning interatomic potential (MLIP)-based molecular dynamics enables efficient exploration of mass-transport mechanisms in complex materials together with quantitative determination of diffusion coefficients at finite temperatures. Using an identical training dataset, w...

Orbital Interaction-Driven Charge Transfer in CoSn(OH)6/Carbon Nanofiber Electrodes for High-Energy Density Hybrid Supercapacitors

Abstract A π–d conjugation-driven CoSn(OH)6@carbon nanofiber (CNF) nano hybrid composite was synthesized and comprehensively investigated for high-performance asymmetric hybrid supercapacitors (AHSs). Structural and chemical characterizations using XRD, Raman, SEM, and XPS confir...

Interfacial engineering of 2D Nb₂C MXene/copper electrode for selective electrochemical nitrate-to-nitrogen conversion

Background Electrochemical nitrate reduction is a promising approach for mitigating nitrogen pollution in water. However, the development of electrocatalysts that simultaneously achieve high activity, N₂ selectivity, and operational stability remains a major challenge. Methods A...

Large language model-assisted design of electrospun bioplastics

Addressing the dual challenges of plastic waste and materials efficiency is critical for advancing sustainability. Here, a biodegradable electrospun polymer formulation was identified through a domain-adapted large language model (LLM) workflow and examined experimentally as an i...

Tailoring Trilayer LiTa 2 PO 8 ‐Based Hybrid Solid Electrolytes to Enhance Interfacial Compatibility and Efficient Lithium Transport in Lithium Metal Batteries

ABSTRACT Herein, a spatially decoupled trilayer hybrid solid electrolyte (THSE) is designed through functional architecture engineering to simultaneously optimize ionic conduction and interfacial stability. THSE integrates a polymer matrix comprising a Li + ‐conductive LiTa 2 PO...