Results 111 to 120 of about 21,852 (288)

Observation of Excitonic Instability in a Monolayer Ta2NiSe5 With Strain Disorder

Advanced Science, EarlyView.
Monolayer Ta2${\rm Ta}_2$NiSe5${\rm NiSe}_5$ sustains an excitonic insulating phase up to 190 K, with Raman signatures of gap opening and critical excitonic fluctuations. Thickness‐independent large gap ratios highlight strong exciton‐phonon coupling, while substrate‐induced strain disorder depresses Tc, establishing monolayer Ta2${\rm Ta}_2$NiSe5${\rm
So Young Kim, Kwangrae Kim, Dowook Kim, Ji Eun Lee, Jieun Seok, Chang Il Kwon, Jo Hyun Yun, Chang‐Jong Kang, Jae Hoon Kim, H. W. Yeom, Tae‐Hwan Kim, Jonghwan Kim, B. J. Kim, Jun Sung Kim   +13 more
wiley   +1 more source

Uranium Doped Gallium Nitride Epitaxial Thin Films

Advanced Electronic Materials, EarlyView.
Uranium was controllably added to gallium nitride using molecular beam epitaxy. The uranium atoms segregated into vertically oriented regions with higher doping levels. Concentrations up to a few percent were achieved without showing significant degradation in the crystalline quality or optical characteristics. Low electrical resistivity was maintained
J. Pierce Fix, Sabin Regmi, Aaron G. Penders, Sohail Shah, Kevin D. Vallejo, Volodymyr B. Buturlim, Belief Rifore, Krzysztof Gofryk, Mukesh Bachhav, Nicholas J. Borys, Brelon J. May   +10 more
wiley   +1 more source

Emergence of Double‐Dome Superconductivity in the Pressurized Dirac Semimetal BaMg2Bi2

Advanced Electronic Materials, EarlyView.
ABSTRACT Dirac semimetal BaMg2${\rm BaMg}_{2}$Bi2${\rm Bi}_{2}$ is reported to be a unique topological material that manifests surface superconductivity that coexists with bulk band topology at ambient pressure. Here, we present a comprehensive investigation of high‐pressure superconducting properties in BaMg2${\rm BaMg}_{2}$Bi2${\rm Bi}_{2}$ single ...
Qi Wang, Juefei Wu, Cuiying Pei, Yi Zhao, Yiyan Wang, Yanpeng Qi   +5 more
wiley   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

A Dual‐Memory Ferroelectric Transistor Emulating Synaptic Metaplasticity for High‐Speed Reservoir Computing

Advanced Electronic Materials, EarlyView.
A CMOS‐compatible ferroelectric transistor harnesses the interplay between stable gate polarization memory and volatile non‐quasi‐static channel charge dynamics to emulate how biological synapses regulate their own plasticity. This brain‐inspired dual‐memory mechanism, realized in a single device, enables a physical reservoir computer that solves ...
Yifan Wang, Muhammad Sakib Shahriar, Salma Soliman, Noah Vaillancourt, Lance Fernandes, Andrea Padovani, Asif Islam Khan, Md Sakib Hasan, Raisul Islam   +8 more
wiley   +1 more source

SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range

Advanced Electronic Materials, EarlyView.
A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel, Aleix Barrera, Lluís Balcells, Narcís Mestres, Enrique Miranda, Anna Palau, Jordi Suñé   +6 more
wiley   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Regional Differences in U.S. Consumer Preferences for Native Woody Shrubs With Varying Aesthetic Characteristics

Agribusiness, EarlyView.
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn, Ariana P. Torres, Sue Barton, Bridget K. Behe   +3 more
wiley   +1 more source

Equilibrium Propagation for Dissipative Dynamics

Advanced Intelligent Systems, EarlyView.
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley   +1 more source