Cheng-Chien Chen

activity

20242026

collaborators

4 papers

cond-mat.supr-con2026

First-Principles Calculation of Superconducting $T_{c}$ in Superhard B-C-N Metals

Adam D. Smith, Yogesh K. Vohra, Cheng-Chien Chen

We perform first-principles electron-phonon calculations to evaluate the superconducting transition temperature $T_{c}$ for ternary superhard metals B $_{2}$ C $_{3}$ N and B $_{4}$ C $_{5}$ N $_{3}$ .…

cond-mat.supr-con2025

Unraveling the Robust Superconductivity Phenomenon of High-Entropy Alloy

Adam D. Smith, Wenjun Ding, Yogesh K. Vohra +1

Recent experiments demonstrate a "robust superconductivity phenomenon" in niobium-based alloys, where the superconducting state remains intact and the critical temperature ( $T_{c}$ )…

cond-mat.str-el2024

Terbium under High Pressure: First-Principles Dynamical Mean-Field Theory Study

Wenjun Ding, Yogesh K. Vohra, Cheng-Chien Chen

Elemental rare-earth metals provide a playground for studying novel electron correlation effects and complex magnetism. However, ab initio simulations of these systems remain chall…

cond-mat.mtrl-sci2024

Machine Learning and First-Principles Predictions of Materials with Low Lattice Thermal Conductivity

Chia-Min Lin, Abishek Khatri, Da Yan +1

We perform machine learning (ML) simulations and density functional theory (DFT) calculations to search for materials with low lattice thermal conductivity, $I^º_{L}$ . Several cadmium…

First-Principles Calculation of Superconducting Tc​ in Superhard B-C-N Metals

Unraveling the Robust Superconductivity Phenomenon of High-Entropy Alloy

Terbium under High Pressure: First-Principles Dynamical Mean-Field Theory Study

Machine Learning and First-Principles Predictions of Materials with Low Lattice Thermal Conductivity

First-Principles Calculation of Superconducting $T_{c}$ in Superhard B-C-N Metals