Results 111 to 120 of about 327,209 (295)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Fundamental theorems of group isomorphism under the framework of complex intuitionistic fuzzy set

AIMS Mathematics
Algebraic homomorphisms are essential mathematical structures that sustain operations across algebraic systems such as groups, rings, and fields. These mappings not only preserve the validity of algebraic operations but also make it easier to investigate
Muhammad Jawad, Niat Nigar, Sarka Hoskova-Mayerova, Bijan Davvaz, Muhammad Haris Mateen   +4 more
doaj   +1 more source

Peptide‐Induced Ferroelectricity in Charge‐Transfer Supramolecular Materials

Advanced Materials, EarlyView.
Bio‐inspired supramolecular charge‐transfer amphiphiles self‐assemble into nanoribbons in water, where peptide chirality‐induced symmetry breaking generates robust ferroelectricity across multiple systems. These water‐processable organic ferroelectrics also enhance neuronal outgrowth and electrophysiological maturity, offering a versatile strategy for ...
James V. Passarelli, Yang Yang, Cara S. Smith, Jing Hao, Dhwanit R. Dave, Ashwin Narayanan, Zaida Álvarez, Broderick K. Johnson, Kelly A. Marshall, Ivan Fithian, Hiroaki Sai, Ruomeng Qiu, Charlotte L. Stern, Liam C. Palmer, Evangelos Kiskinis, Samuel I. Stupp   +15 more
wiley   +1 more source

Descriptive-complexity based distance for fuzzy sets

, 2010
A new distance function dist(A,B) for fuzzy sets A and B is introduced. It is based on the descriptive complexity, i.e., the number of bits (on average) that are needed to describe an element in the symmetric difference of the two sets. The distance gives the amount of additional information needed to describe any one of the two sets given the other ...
Kovacs, Laszlo, Ratsaby, Joel
openaire   +2 more sources

Electron Channeling Contrast Imaging of Ferroelastic Domains

Advanced Materials, EarlyView.
A simple scanning electron microscopy technique, electron channeling contrast imaging, unveils nanoscale ferroelastic domains and their coupling to functional properties in oxide heterostructures. The work demonstrates high‐resolution mapping of both surface and buried domains, broadening the experimental toolbox for ferroic and quantum oxide systems ...
Wei Peng, Aditya Singh, M. Haroon Qaiser, Philipp Fahler‐Muenzer, Freya Watson, Liang Si, Yining Xie, Katarzyna E. Sopińska, Daniel A. Chaney, Ana M. Sanchez, T. Ben Britton, Richard Beanland, Marios Hadjimichael, Marin Alexe   +13 more
wiley   +1 more source

An Efficient Solution for Multivariate Time Series Forecasting Based on a Stacked Complex Fuzzy Gated Recurrent Neural Network

IEEE Access
Multivariate Time series forecasting finds numerous applications across various fields, including society, industry, market, etc. Recently, gated recurrent unit neural networks (GRU) have shown high efficiency in processing sequential time series data in
Nguyen van Quyet, Nguyen Tho Thong, Nguyen Long Giang, Luong Thi Hong Lan   +3 more
doaj   +1 more source

Enhancing Grayscale E‐Beam Lithography: Thermal Treatment of Novolak‐Based Resist for 3D Nanostructures

Advanced Materials Interfaces, EarlyView.
Surface roughness and chemistry of novolak‐based grayscale resists are dependent on both exposure dose and post‐exposure thermal treatment. The observed trends align with the viscoelastic phase separation model and underscore the need to consider both thermodynamic and kinetic factors in resist processing. By tailoring thermal treatment, it is possible
Rahul Singh, Christian Vinther Bertelsen, Neeti Kalyani, Maria Dimaki, Winnie Edith Svendsen   +4 more
wiley   +1 more source

Complex Generalised Fuzzy Soft Set and its Application

WSEAS TRANSACTIONS ON MATHEMATICS, 2020
Human knowledge and mentality of experts may be changed with the time making the time a very important factor to the decision-makers. Therefore, different decisions for exact problem can be made by decision-makers in different times. We introduce here a new mathematical tool called complex generalized fuzzy soft set (CGFSS), which is a combination of ...
openaire   +1 more source

Loading Mode Dependence of Twin‐Twin Boundary Formation in a Textured Magnesium Alloy

Advanced Materials Interfaces, EarlyView.
The structures of twin‐twin boundaries formed by interactions between twin variants sharing the same or different zone axes in a deformed magnesium alloy are demonstrated. Lattice distortion around complicated interfaces promotes grain refinement in the subsequent thermomechanical process, enhancing the mechanical performance of magnesium alloys ...
Yuzhi Zhu, Shiqiang Wang, Yi Chen, Guanyi Wang, Yinhu Zhao, Zidong Wang, Zhipeng Li, Dewen Hou   +7 more
wiley   +1 more source

MODELLING EXPECTATIONS WITH GENEFER- AN ARTIFICIAL INTELLIGENCE APPROACH [PDF]

Economic modelling of financial markets means to model highly complex systems in which expectations can be the dominant driving forces. Therefore it is necessary to focus on how agents form their expectations.
Eric Ringhut, Stefan Kooths
core