Results 81 to 90 of about 265 (213)

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

An Optimal Design Approach for Resistive and Inductive Superconducting Fault Current Limiters via MCDM Techniques

Iranian Journal of Electrical and Electronic Engineering, 2011
The design process of a superconducting current limiter (SFCL) requires simulation and definition of its electrical, magnetic and thermal properties in form of equivalent circuits and mathematical models. However, any change in SFCL parameters: dimension,
H. Heydari, R. Sharifi
doaj  

Ising Solver Using Vertical NAND Flash Memory

Advanced Intelligent Systems, EarlyView.
Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park, Yeongheon Yang, Jong‐Won Back, Jiseong Im, Ryun‐Han Koo, Jonghyun Ko, Dongseok Kwon, Jong‐Ho Lee   +7 more
wiley   +1 more source

Quantum Phenomena in Molecular and Biological Systems: A Decoherence‐Based Decision Framework With Falsifiable Predictions and a Failure‐Mode Taxonomy

Advanced Physics Research, EarlyView.
A physics‐grounded framework based on decoherence timescales (τ_dec vs τ_func), Markovian validity, and falsifiability criteria is applied across molecular systems to distinguish where quantum effects are necessary, marginal, or irrelevant. The analysis integrates quantum chemistry, biological quantum mechanisms, and quantum computing under a unified ...
Sarfaraz K. Niazi
wiley   +1 more source

Superconducting fault current limiter. Final report

, 1976
The use of a superconducting element as the active part of a fault current limiter for the power utilities is considered. Such a device is technically feasible over a wide range of parameters for the required electrical power source and material properties of the superconductors available.
K. E. Gray, D. E. Fowler
openaire   +2 more sources

Geometry‐Based Neural‐Network Prediction of Electron Localization Function Topology in Dense Hydrogen

Chemistry – A European Journal, EarlyView.
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang, Miriam Marqués, Sergio Gómez, Francesc Serratosa, Eva Zurek, Julia Contreras‐García   +5 more
wiley   +1 more source

Experimental methods in chemical engineering: Magnetometry

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Magnetometry is a non‐invasive technique to characterize the behaviour of magnetic materials of which the most common contain Fe, Co, and Ni. Vibrating sample magnetometers (VSMs) vibrate samples at a fixed frequency in a static, homogeneous magnetic field to induce a voltage in pick up coils according to Faraday's law of induction.
Michael Claeys, Dominic De Oliveira, Gregory S. Patience, M. Olga Guerrero‐Pérez   +3 more
wiley   +1 more source

Superconducting Fault Current Limiter for Transmission Voltage

Physics Procedia, 2012
AbstractWithin a collaboration of American Superconductor, Siemens, Nexans and Southern California Edison one electrical phase of a resistive superconducting fault current limiter for the 115kV transmission voltage level has been designed and manufactured.
Kraemer, Hans-Peter, Schmidt, Wolfgang, Cai, Hong, Gamble, Bruce, Madura, David, MacDonald, Tim, McNamara, Joe, Romanosky, Walther, Snitchler, Greg, Lallouet, Nicolas, Schmidt, Frank, Ahmed, Syed   +11 more
openaire   +1 more source

Magnetic Supraparticles as Identifiers in Single‐Layer Lithium‐Ion Battery Pouch Cells

ChemSusChem, Volume 18, Issue 6, March 15, 2025.
As an alternative to externally applied optical identifiers, magnetic supraparticles (SPs) can be used for contactless identification of lithium‐ion battery pouch cells via magnetic particle spectroscopy. This study validated the integration and detection of magnetic markers in three model scenarios.
Sara Li Deuso, Simon Ziegler, Daniel Weber, Felix Breuer, Daniel Haddad, Stephan Müssig, Andreas Flegler, Guinevere A. Giffin, Karl Mandel   +8 more
wiley   +1 more source