5 papers
On the Perturbed States for Transformed Input-robust Reinforcement Learning
Tung M. Luu, Haeyong Kang, Tri Ton +2
Reinforcement Learning (RL) agents demonstrating proficiency in a training environment exhibit vulnerability to adversarial perturbations in input observations during deployment. T…
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…
Defects Vibrations Engineering for Enhancing Interfacial Thermal Transport
Yijie Zhou, Robert Ciarla, Artittaya Boonkird +10
To push upper boundaries of effective thermal conductivity in polymer composites, a fundamental understanding of thermal transport mechanisms is crucial. Although there is intensiv…
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…
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…