Results 91 to 100 of about 93,147 (298)

Generalization of entanglement to convex operational theories: Entanglement relative to a subspace of observables

open access: yes, 2005
We define what it means for a state in a convex cone of states on a space of observables to be generalized-entangled relative to a subspace of the observables, in a general ordered linear spaces framework for operational theories. This extends the notion
A. Wilce   +18 more
core   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

Subspace based system identification with periodic excitation signals

open access: yesSystems & Control Letters, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
McKelvey, T, Akcay, H
openaire   +3 more sources

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

Robust Switching Control and Subspace Identification for Flutter of Flexible Wing

open access: yesShock and Vibration, 2018
Active flutter suppression and subspace identification for a flexible wing model using micro fiber composite actuator were experimentally studied in a low speed wind tunnel.
Yizhe Wang, Zhiwei Xu, Wei Li
doaj   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

The Detection of Subsynchronous Oscillation in HVDC Based on the Stochastic Subspace Identification Method 1 [PDF]

open access: yes
: Subsynchronous oscillation (SSO) usually caused by series compensation, power system stabilizer (PSS), high voltage direct current transmission (HVDC) and other power electronic equipment, which will affect the safe operation of generator shafting even
Chen Shi   +3 more
core   +1 more source

Locality and nonlocality in quantum pure-state identification problems

open access: yes, 2008
Suppose we want to identify an input state with one of two unknown reference states, where the input state is guaranteed to be equal to one of the reference states.
A. Hayashi   +6 more
core   +1 more source

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino   +9 more
wiley   +1 more source

Data-Driven Predictive Control Applied to Gear Shifting for Heavy-Duty Vehicles

open access: yesEnergies, 2018
In this paper, the data-driven predictive control method is applied to the clutch speed tracking control for the inertial phase of the shift process.
Xinxin Zhao, Zhijun Li
doaj   +1 more source

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