Non-hermitian physics

Y Ashida, Z Gong, M Ueda - Advances in Physics, 2020 - Taylor & Francis
A review is given on the foundations and applications of non-Hermitian classical and
quantum physics. First, key theorems and central concepts in non-Hermitian linear algebra …

Surface plasmon resonance in gold nanoparticles: a review

V Amendola, R Pilot, M Frasconi… - Journal of physics …, 2017 - iopscience.iop.org
In the last two decades, plasmon resonance in gold nanoparticles (Au NPs) has been the
subject of intense research efforts. Plasmon physics is intriguing and its precise modelling …

Teleparallel gravity: from theory to cosmology

S Bahamonde, KF Dialektopoulos… - Reports on Progress …, 2023 - iopscience.iop.org
Teleparallel gravity (TG) has significantly increased in popularity in recent decades, bringing
attention to Einstein's other theory of gravity. In this Review, we give a comprehensive …

Photonics of time-varying media

E Galiffi, R Tirole, S Yin, H Li, S Vezzoli… - Advanced …, 2022 - spiedigitallibrary.org
Time-varying media have recently emerged as a new paradigm for wave manipulation, due
to the synergy between the discovery of highly nonlinear materials, such as epsilon-near …

From contact electrification to triboelectric nanogenerators

ZL Wang - Reports on Progress in Physics, 2021 - iopscience.iop.org
Although the contact electrification (CE)(or usually called'triboelectrification') effect has been
known for over 2600 years, its scientific mechanism still remains debated after decades …

Fluids and electrolytes under confinement in single-digit nanopores

NR Aluru, F Aydin, MZ Bazant, D Blankschtein… - Chemical …, 2023 - ACS Publications
Confined fluids and electrolyte solutions in nanopores exhibit rich and surprising physics
and chemistry that impact the mass transport and energy efficiency in many important …

AI Feynman: A physics-inspired method for symbolic regression

SM Udrescu, M Tegmark - Science Advances, 2020 - science.org
A core challenge for both physics and artificial intelligence (AI) is symbolic regression:
finding a symbolic expression that matches data from an unknown function. Although this …

Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration

M Liu, Y Pang, B Zhang, P De Luna, O Voznyy, J Xu… - Nature, 2016 - nature.com
Electrochemical reduction of carbon dioxide (CO2) to carbon monoxide (CO) is the first step
in the synthesis of more complex carbon-based fuels and feedstocks using renewable …

Terabit free-space data transmission employing orbital angular momentum multiplexing

J Wang, JY Yang, IM Fazal, N Ahmed, Y Yan… - Nature …, 2012 - nature.com
The recognition in the 1990s that light beams with a helical phase front have orbital angular
momentum has benefited applications ranging from optical manipulation to quantum …

On the first principle theory of nanogenerators from Maxwell's equations

ZL Wang - Nano Energy, 2020 - Elsevier
Nanogenerators (NGs) are a field that uses Maxwell's displacement current as the driving
force for effectively converting mechanical energy into electric power/signal, which have …