Results 71 to 80 of about 31,846 (225)

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

open access: yesAdvanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia   +3 more
wiley   +1 more source

Gapless Superconductivity From Extremely Dilute Magnetic Disorder in 2H‐NbSe2‐xSx

open access: yesAdvanced Materials, EarlyView.
We demonstrate that 2H‐NbSe2‐xSx hosts gapless superconductivity at unexpectedly low magnetic impurity concentrations. Combining STM, Bogoliubovde Gennes simulations, DFT, and quasiparticle interference, we comprehensively study the development of gapless behavior and show that SeS substitution reshapes the band structure, enhances nesting, and drives ...
Jose Antonio Moreno   +16 more
wiley   +1 more source

Plasmonic Nanomachines: Creating Local Potential Gradients and Motions

open access: yesAdvanced Materials, EarlyView.
Plasmonic nanomachines can generate optical, thermal, and chemical potential gradients to drive directional rectilinear, rotational, and twisting motions at the nanometer scale. The integration of multimodal plasmonic forces with functional materials and programmed structural distortions enables precise spatiotemporal actuation, thereby providing a ...
Yoonhee Kim   +3 more
wiley   +1 more source

Evaluating the technical efficiency and influencing factors of citrus fruits planting in China.

open access: yesPLoS ONE
By adopting the stochastic frontier analysis model of a beyond logarithmic production function and utilizing panel data for citrus planting operations in seven major citrus-producing provinces and cities in China from 2012 to 2024, the technical ...
Yuan Wu, Xiaojun Pu
doaj   +1 more source

Формирование инвестиционного портфеля на российском рынке акций при помощи непараметрического метода - искусственных нейронных сетей

open access: yesКорпоративные финансы, 2017
In this paper, a nonparametric method, the Artificial Neural Network (ANN), was used for analyzing 50 stocks, which are included in the calculation base of the MICEX stock index. This method allowed us to use not only macroeconomic and technical factors,
Elena Buyanova, Artur Sarkisov
doaj   +1 more source

Direct Mode‐Resolved Measurement of Interfacial Phonon Transport by Acoustic Phonon Reflectometry

open access: yesAdvanced Materials Interfaces, EarlyView.
We introduce a novel analysis, acoustic phonon reflectometry, that measures the mode‐resolved phonon reflection coefficient at semiconductor interfaces. In aluminum nitride, we observe excellent agreement with the acoustic mismatch model across three distinct interfaces.
Christopher Hennighausen   +9 more
wiley   +1 more source

A theory of the skill-performance relationship

open access: yesFrontiers in Psychology
The skill-performance relationship is a cornerstone of a meritocratic society. People are selected for schools, colleges and jobs based on the premise that more skillful individuals perform better.
Seppo E. Iso-Ahola
doaj   +1 more source

Bioresorbable Mo–W Electrodes: Toward an Extended Operational Lifetime Through Controlled Alloying and Oxide Coating Engineering

open access: yesAdvanced Materials Interfaces, EarlyView.
Bioresorbable electrochemical sensors face instability in biofluids. Although alloys can mitigate rapid in vivo dissolution, Mo–W remains underexplored for sensing. This work engineers Mo–W films with a nanocrystalline oxide coating, improving stability and enabling reliable oxygen and pH sensing for up to 10 days, highlighting their potential for ...
C. Fernandes   +4 more
wiley   +1 more source

A Multi-Model Machine Learning Framework for Daily Stock Price Prediction

open access: yesBig Data and Cognitive Computing
Stock price prediction remains a challenging problem due to the inherent volatility and complexity of financial markets. This study proposes a multi-model machine learning framework for one-day-ahead stock price prediction using thirty-six features ...
Bharatendra Rai, Leili Soltanisehat
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

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