Results 91 to 100 of about 28,835 (313)

Spectroscopic Evidence of Edge‐Localized States in an Antiferromagnet Topological Insulator NdBi

Advanced Science, EarlyView.
Using spin‐polarized scanning tunneling microscopy (STM) in conjunction with quasiparticle interference, we successfully identify distinct signatures of the ferromagnetic and antiferromagnetic terminations in NdBi, a rare‐earth monopnictide exhibiting non‐trivial topology and magnetism. We demonstrate that step edges on ferromagnetic surfaces host well‐
Avior Almoalem, Rebecca Chan, Brinda Kuthanazhi, Juan Schmidt, Jose A. Moreno, Hermann Suderow, Paul Canfield, Taylor L. Hughes, Vidya Madhavan   +8 more
wiley   +1 more source

Supermassive black hole growth from stellar binary encounters

The Open Journal of Astrophysics
The growth of supermassive black holes (SMBHs) remains a central problem in astrophysics, with current observations providing only limited constraints on the underlying mechanisms. One possible growth channel is stellar accretion via the Hill’s mechanism,
Aubrey L Jones, Benjamin C Bromley
doaj   +1 more source

Transmuted gravity wave signals from primordial black holes

Physics Letters B, 2018
Primordial black holes (PBHs) interacting with stars in binaries lead to a new class of gravity wave signatures that we explore. A small 10−16–10−7M⊙ PBH captured by a neutron star or a white dwarf will eventually consume the host.
Volodymyr Takhistov
doaj   +1 more source

Engineered Strain in 2D Materials by Direct Growth on Deterministically Patterned Grayscale Topographies

Advanced Science, EarlyView.
ABSTRACT Strain is a proven technique for modifying the bandgap and enhancing carrier mobility in 2D materials. Most current strain engineering techniques rely on the post‐growth transfer of these atomically thin materials from growth substrates to target surfaces, limiting their integration into nanoelectronics.
Berke Erbas, Arindam Bala, Hernan Furci, Anushree Dutta, Naresh Kumar, Renato Zenobi, Giovanni Boero, Andras Kis, Juergen Brugger   +8 more
wiley   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Trends in the Population of Binary Black Holes Following the Fourth Gravitational-wave Transient Catalog: A Data-driven Analysis

The Astrophysical Journal
Current models of binary black hole distributions are difficult to interpret because inferences hinge on modeling choices, which can mask or mimic real structure.
Nir Guttman, Ethan Payne, Paul D. Lasky, Eric Thrane   +3 more
doaj   +1 more source

The Unique Blazar OJ 287 and Its Massive Binary Black Hole Central Engine

Universe, 2019
The bright blazar OJ 287 is the best-known candidate for hosting a nanohertz gravitational wave (GW) emitting supermassive binary black hole (SMBBH) in the present observable universe.
Lankeswar Dey, Achamveedu Gopakumar, Mauri Valtonen, Stanislaw Zola, Abhimanyu Susobhanan, Rene Hudec, Pauli Pihajoki, Tapio Pursimo, Andrei Berdyugin, Vilppu Piirola, Stefano Ciprini, Kari Nilsson, Helen Jermak, Mark Kidger, Stefanie Komossa   +14 more
doaj   +1 more source

Shadows of exact binary black holes

Physical Review D, 2018
Black hole (BH) shadows in dynamical binary BHs (BBHs) have been produced via ray-tracing techniques on top of expensive fully non-linear numerical relativity simulations. We show that the main features of these shadows are captured by a simple quasi-static resolution of the photon orbits on top of the static double-Schwarzschild family of solutions ...
Cunha, Pedro V. P., Herdeiro, Carlos A. R., Rodriguez, Maria J.   +2 more
openaire   +5 more sources

Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory

Advanced Science, EarlyView.
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park, Ryun‐Han Koo, Jonghyun Ko, Jiseong Im, Yeongheon Yang, Mingyun Oh, Dongbeen Shin, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source