Results 41 to 50 of about 6,174 (204)

Thermoelectric Property Mapping for High‐Performance Integrated MgAgSb‐MgCuSb System

Advanced Science, EarlyView.
From the property mapping of the MgAgSb–MgCuSb system, both thermoelectric materials and corresponding interface materials are optimized: Ag‐rich compositions provide higher PF and zT, whereas Cu‐rich side yields superior transport properties and low contact resistance.
Jiankang Li, Airan Li, Longquan Wang, Xinzhi Wu, Raju Chetty, Takao Mori   +5 more
wiley   +1 more source

Prevalence and impact of falls as domestic injury among rural housewives of Raipur District, Chhattisgarh, India

International Journal of Occupational Safety and Health, 2023
Introduction: The most common domestic injury among housewives is falling from stairs and ramps or on the floor. The present study aimed to find and associate the prevalence of falls with various agents, risk factors causing falls and the impact of ...
Jaita Mondal, Maharaj Singh
doaj   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Nim variants

ICGA Journal, 2022
Combinatorial game theory provides results for the class of two-player, deterministic games with perfect information. With the aim of generalizing this theory to the class of non-perfect information games in mind, we introduce and analyze three variants of the game of Nim.
Berg, M.J.H. van den, Kosters, W.A., Spieksma, F.M.   +2 more
openaire   +3 more sources

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Polyaniline nano-composites with large negative dielectric permittivity

AIP Advances, 2012
Two polyaniline (PANI)/polymer nano-composites exhibiting huge negative dielectric permittivity have been synthesized for the first time. These novel chemical processes open a new approach for fabrication of the negative index materials (NIMs), since ...
Chia-Hung Hsieh, An-Hung Lee, Cheng-Dar Liu, Jin-Lin Han, Kuo-Huang Hsieh, Sung-Nung Lee   +5 more
doaj   +1 more source

Experimental design for the highly accurate prediction of material properties using descriptors obtained by measurement

Science and Technology of Advanced Materials: Methods, 2021
In materials science, both controllable and uncontrollable descriptors can be used to characterize materials. Examples of controllable descriptors include the composition of elements and fabrication processes; in contrast, uncontrollable descriptors are ...
Ryo Tamura, Yuki Takei, Shinichiro Imai, Maki Nakahara, Satoshi Shibata, Takashi Nakanishi, Masahiko Demura   +6 more
doaj   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source