Results 51 to 60 of about 3,305 (233)

Islands in linear dilaton black holes

Journal of High Energy Physics, 2021
We derive a novel four-dimensional black hole with planar horizon that asymptotes to the linear dilaton background. The usual growth of its entanglement entropy before Page’s time is established.
Georgios K. Karananas, Alex Kehagias, John Taskas   +2 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

From black strings to fundamental strings: non-uniformity and phase transitions

Journal of High Energy Physics
We discuss the transition between black strings and fundamental strings in the presence of a compact dimension, S z 1 $$ {\mathbbm{S}}_z^1 $$ . In particular, we study the Horowitz-Polchinski effective field theory in ℝ d × S z 1 $$ {\mathbb{R}}^d\times {
Jinwei Chu
doaj   +1 more source

HAWKING RADIATION IN STRING THEORY AND THE STRING PHASE OF BLACK HOLES [PDF]

Classical and Quantum Nonlocality, 2000
The quantum string emission by Black Holes is computed in the framework of the `string analogue model' (or thermodynamical approach), which is well suited to combine QFT and string theory in curved backgrounds (particulary here, as black holes and strings posses intrinsic thermal features and temperatures).
Medrano, M. Ramon, Sanchez, N.
openaire   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Cosmic necklaces in string theory and field theory [PDF]

, 2010
PhDIn this thesis we investigate astrophysical phenomena which arise in models with compact extra dimensions, focussing on the cosmological consequences of strings which wrap cycles in the internal space. Embedding our strings in the Klebanov-Strassler
Lake, Matthew James
core  

Black Hole Emission in String Theory and the String Phase of Black Holes [PDF]

, 2001
String theory properly describes black-hole evaporation. The quantum string emission by Black Holes is computed. The black-hole temperature is the Hawking temperature in the semiclassical quantum field theory (QFT) regime and becomes the intrinsic string temperature, T_s, in the quantum (last stage) string regime.
openaire   +3 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

String condensation: nemesis of black holes? [PDF]

, 2015
This paper puts forward a conjecture that there are no black holes in M theory. We will show that a mechanism to prevent black hole formation is needed in 4 dimensions to make string theory a viable high energy model of quantum gravity.
Hewitt, M.
core  

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

Carbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood, Yuanyuan Qin, Abdul Sattar, Rabeea Eman, Faheem Abbas, Shan Wu, Yipeng Xu, Xu Zheng, Jiangying Lu, Wei Jiang, Jiankai Liu, Shudi Lu, Shizhong Yue, Zhijie Wang, Kong Liu, Xiaopeng Zheng, Shengchun Qu   +16 more
wiley   +1 more source