activity
20192024
most citedOn-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

549 citations · 1.5k across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci2024★ 12 cited

Absence of Weyl nodes in EuCdAs revealed by the carrier density dependence of the anomalous Hall effect

Yue Shi, Zhaoyu Liu, Logan A. Burnett +8

The antiferromagnetic layered compound EuCdAs is widely considered as a leading candidate of ideal Weyl semimetal, featuring a single pair of Weyl nodes in its field-induce…

physics.optics2023★ 40 cited

Optomechanical ring resonator for efficient microwave-optical frequency conversion

I-Tung Chen, Bingzhao Li, Seokhyeong Lee +3

Phonons traveling in solid-state devices are emerging as a universal excitation that can couple to different physical systems through mechanical interaction. At microwave frequenci…

physics.app-ph2021★ 235 cited

Programmable black phosphorus image sensor for broadband optoelectronic edge computing

Seokhyeong Lee, Ruoming Peng, Changming Wu +1

Image sensors with internal computing capability enable in-sensor computing that can significantly reduce the communication latency and power consumption for machine vision in dist…

cs.ET2021★ 2 cited

Harnessing Optoelectronic Noises in a Photonic Generative Network

Changming Wu, Xiaoxuan Yang, Heshan Yu +4

Integrated optoelectronics is emerging as a promising platform of neural network accelerator, which affords efficient in-memory computing and high bandwidth interconnectivity. The…

cond-mat.mes-hall2021★ 66 cited

Long-range transport of 2D excitons with acoustic waves

Ruoming Peng, Adina Ripin, Yusen Ye +9

Excitons are elementary optical excitation in semiconductors. The ability to manipulate and transport these quasiparticles would enable excitonic circuits and devices for quantum p…

cond-mat.mtrl-sci2020★ 549 cited

On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

A. Gilad Kusne, Heshan Yu, Changming Wu +13

Active learning - the field of machine learning (ML) dedicated to optimal experiment design, has played a part in science as far back as the 18th century when Laplace used it to gu…