activity
20182022
most citedPanoramic mapping of phonon transport from ultrafast electron diffraction and machine learning

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci20221 cited

Panoramic mapping of phonon transport from ultrafast electron diffraction and machine learning

Zhantao Chen, Xiaozhe Shen, Nina Andrejevic +11

One central challenge in understanding phonon thermal transport is a lack of experimental tools to investigate mode-based transport information. Although recent advances in computa…

cond-mat.mtrl-sci2021

Machine Learning on Neutron and X-Ray Scattering

Zhantao Chen, Nina Andrejevic, Nathan Drucker +8

Neutron and X-ray scattering represent two state-of-the-art materials characterization techniques that measure materials' structural and dynamical properties with high precision. T…

cond-mat.mes-hall2019

Spectroscopic Signatures of Nonlocal Interfacial Coupling in Superconducting FeSe/SrTiO3 Heterostructures

Nina Andrejevic, Fei Han, Thanh Nguyen +10

The mechanism of enhanced superconductivity in the one unit-cell (1UC) FeSe film on a SrTiO3 (STO) substrate has stimulated significant research interest but remains elusive. Using…

cond-mat.mes-hall2019

Quantized Thermoelectric Hall Effect Induces Giant Power Factor in a Topological Semimetal

Fei Han, Nina Andrejevic, Thanh Nguyen +14

Thermoelectrics are promising by directly generating electricity from waste heat. However, (sub-)room-temperature thermoelectrics have been a long-standing challenge due to vanishi…

cond-mat.mtrl-sci2018

Phonon Quantum Phase Transition

Ricardo Pablo-Pedro, Nina Andrejevic, Yoichiro Tsurimaki +5

We show that a quantum phase transition can occur in a phonon system in the presence of dislocations. Due to the competing nature between the topological protection of the dislocat…