124 citations · 235 across the 14 of their papers we have counts for
14 papers
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…
Incipient nematicity from electron flat bands in a kagome metal
Nathan Drucker, Thanh Nguyen, Manasi Mandal +16
Engineering new quantum phases requires fine tuning of the electronic, orbital, spin, and lattice degrees of freedom. To this end, the kagome lattice with flat bands has garnered g…
Precise Fermi-level engineering in a topological Weyl semimetal via fast ion implantation
Manasi Mandal, Abhijatmedhi Chotrattanapituk, Kevin Woller +10
The precise controllability of the Fermi level is a critical aspect of quantum materials. For topological Weyl semimetals, there is a pressing need to fine-tune the Fermi level to…
Sustainability-Driven Exploration of Topological Material
Artittaya Boonkird, Nathan Drucker, Manasi Mandal +9
Topological materials are at the forefront of quantum materials research, offering tremendous potential for next-generation energy and information devices. However, current investi…
Topological superconductors from a materials perspective
Manasi Mandal, Nathan C. Drucker, Phum Siriviboon +6
Topological superconductors (TSCs) have garnered significant research and industry attention in the past two decades. By hosting Majorana bound states which can be used as qubits t…
Virtual Node Graph Neural Network for Full Phonon Prediction
Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird +10
The structure-property relationship plays a central role in materials science. Understanding the structure-property relationship in solid-state materials is crucial for structure d…
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities
Hongwei Chen, Sathya R. Chitturi, Rajan Plumley +22
The advent of next-generation X-ray free electron lasers will be capable of delivering X-rays at a repetition rate approaching 1 MHz continuously. This will require the development…
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…
Fluctuation-driven, topology-stabilized order in a correlated nodal semimetal
Nathan C. Drucker, Thanh Nguyen, Fei Han +19
The interplay between strong electron correlation and band topology is at the forefront of condensed matter research. As a direct consequence of correlation, magnetism enriches top…
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…
Spin-polarized imaging of strongly interacting fermions in the ferrimagnetic state of Weyl candidate CeBi
Christian E. Matt, Yu Liu, Harris Pirie +8
CeBi has an intricate magnetic phase diagram whose fully-polarized state has recently been suggested as a Weyl semimetal, though the role of states in promoting strong interact…
Signature of Many-Body Localization of Phonons in Strongly Disordered Superlattices
Thanh Nguyen, Nina Andrejevic, Hoi Chun Po +17
Many-body localization (MBL) has attracted significant attention due to its immunity to thermalization, role in logarithmic entanglement entropy growth, and opportunities to reach…
Machine learning spectral indicators of topology
Nina Andrejevic, Jovana Andrejevic, B. Andrei Bernevig +7
Topological materials discovery has emerged as an important frontier in condensed matter physics. While theoretical classification frameworks have been used to identify thousands o…
van der Waals metamaterials
William Dorrell, Harris Pirie, S. Minhal Gardezi +2
The van der Waals heterostructures are a fertile frontier for discovering emergent phenomena in condensed matter systems. They are constructed by stacking elements of a large libra…