activity
20042024
most citedAdaptive Variational Quantum Dynamics Simulations

123 citations · 1.7k across the 69 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cond-mat.str-el2023

Ab initio description of bcc iron with correlation matrix renormalization theory

Jun Liu, Yongxin Yao, Vladimir Antropov +2

We applied the ab initio spin-polarized Correlation Matrix Renormalization Theory (CMRT) to the ferromagnetic state of the bulk BCC iron. We showed that it was capable of reproduci…

cond-mat.mtrl-sci2023

Unveiling the effect of Ni on the formation and structure of Earth's inner core

Yang Sun, Mikhail I. Mendelev, Feng Zhang +5

Ni is the second most abundant element in the Earth's core. Yet, its effects on the inner core's structure and formation process are usually disregarded because of its electronic a…

cond-mat.supr-con2023★ 5 cited

Prediction of superconductivity in metallic boron-carbon compounds from 0 to 100 GPa by high-throughput screening

Feng Zheng, Yang Sun, Renhai Wang +7

Boron carbon compounds have been shown to have feasible superconductivity. In our earlier paper [Zheng et al., Phys. Rev. B 107, 014508 (2023)], we identified a new conventional su…

physics.geo-ph2023

Structural prediction of Fe-Mg-O compounds at Super-Earth's pressures

Yimei Fang, Yang Sun, Renhai Wang +6

Terrestrial exoplanets are of great interest for being simultaneously similar to and different from Earth. Their compositions are likely comparable to those of solar-terrestrial ob…

cond-mat.mtrl-sci2023★ 4 cited

Ab-initio Simulations of Coherent Phonon-Induced Pumping of Carriers in Zirconium Pentatelluride

Tao Jiang, Peter P. Orth, Liang Luo +7

Laser-driven coherent phonons can act as modulated strain fields and modify the adiabatic ground state topology of quantum materials. Here we use time-dependent first-principles an…

cond-mat.mtrl-sci2023★ 15 cited

Machine learning guided discovery of superconducting calcium borocarbides

Chao Zhang, Hui Tang, Chen Pan +4

Pursuit of superconductivity in light-element systems at ambient pressure is of great experimental and theoretical interest. In this work, we combine a machine learning (ML) method…

cond-mat.mtrl-sci2023

Structure and dynamics of Fe90Si3O7 liquids close to Earth's liquid core conditions

Ling Tang, Chao Zhang, Yang Sun +3

Using an artificial neural-network machine learning interatomic potential, we have performed molecular dynamics simulations to study the structure and dynamics of Fe90Si3O7 liquid…

physics.optics2023★ 11 cited

Imaging Stacking-Dependent Surface Plasmon Polaritons in Trilayer Graphene

Yilong Luan, Jun Qian, Minsung Kim +6

We report a nano-infrared (IR) imaging study of trilayer graphene (TLG) with both ABA (Bernal) and ABC (rhombohedral) stacking orders using the scattering-type scanning near-field…