activity
20052025
most citedInfrared-Transparent Visible-Opaque Fabrics for Wearable Personal Thermal Management

372 citations · 2.2k across the 48 of their papers we have counts for

collaborators

49 papers

physics.app-ph2025

High-efficiency atmospheric water harvesting enabled by ultrasonic extraction

Ikra Shuvo, Carlos D. Diaz-Marin, Marvin Christen +3

Atmospheric water harvesting technology, which extracts moisture from ambient air to generate water, is a promising strategy to realize decentralized water production. However, the…

cond-mat.mtrl-sci2025★ 1 cited

Spatiotemporal Mapping of Anisotropic Thermal Transport in GaN Thin Films via Ultrafast X-ray Diffraction

Thanh Nguyen, Chuliang Fu, Mouyang Cheng +17

Efficient thermal management is essential for the reliability of modern power electronics, where increasing device density leads to severe heat dissipation challenges. However, in…

physics.optics2024

Nonreciprocal reflection of mid-infrared light by highly doped InAs at low magnetic fields

Simo Pajovic, Yoichiro Tsurimaki, Xin Qian +2

We report an experimental observation of room-temperature nonreciprocal reflection of mid-infrared light from planar highly doped InAs surfaces at low magnetic fields ranging from…

physics.optics2024★ 1 cited

Nonreciprocal scintillation using one-dimensional magneto-optical photonic crystals

Olivia Y. Long, Simo Pajovic, Charles Roques-Carmes +5

Scintillation describes the conversion of high-energy particles into light in transparent media and finds diverse applications such as high-energy particle detection and industrial…

physics.optics2024

Defect-Induced Strain-Tunable Photoluminescence in AgScPS

Abhishek Mukherjee, Damian Wlodarczyk, Ajeesh K. Somakumar +5

Metal thiophosphates (MTPs) are a large family of 2D materials that exhibit large structural and chemical diversity. They also show promise for applications in energy harvesting an…

physics.optics2023

A3SA: Advanced Data Augmentation via Adjoint Sensitivity Analysis

Chanik Kang, Dongjin Seo, Svetlana V Boriskina +1

Innovative machine learning techniques have facilitated the inverse design of photonic structures for numerous practical applications. Nevertheless, within these approaches, the qu…