Results 141 to 150 of about 340,743 (242)

Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath

open access: yesAdvanced Sensor Research, EarlyView.
The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak   +5 more
wiley   +1 more source

Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion

open access: yesAdvanced Sustainable Systems, EarlyView.
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar   +2 more
wiley   +1 more source

Decoding uncertainty for clinical decision-making. [PDF]

open access: yesPhilos Trans A Math Phys Eng Sci
Tsaneva-Atanasova K   +2 more
europepmc   +1 more source

SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes

open access: yesAdvanced Theory and Simulations, EarlyView.
The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
wiley   +1 more source

Analysis of Electronic Structure and Binding Energy in Five‐Electron GaAs/AlxGa1‐xAs Quantum Dots Under Penetrable Confinement Potential

open access: yesAdvanced Theory and Simulations, EarlyView.
This study analyses the electronic structure of five‐electron spherical quantum dots with penetrable confinement potential. Spatial confinement and the influence of potential barrier height give rise to the unique properties of quantum dots. These effects lead to profound changes in their energy spectra and optical properties which play a key role in ...
Yusuf Yakar, Bekir Çakır, Ayhan Özmen
wiley   +1 more source

Reinforcement Learning Approach to Advance Non‐Fullerene Acceptor‐Based Semi‐Transparent Organic Solar Cell

open access: yesAdvanced Theory and Simulations, EarlyView.
This study introduces a deep Q‐learning framework for semi‐transparent organic solar cells, combining AI and the Transfer Matrix Method to balance transparency/efficiency. Targeting PBDB‐T:ITIC‐based layers with asymmetric DMD contacts, the algorithm optimizes thickness/material properties, achieving 48.97% AVT and sustained photocurrent.
Erman Cokduygulular   +2 more
wiley   +1 more source

Classical simulations of noisy variational quantum circuits. [PDF]

open access: yesnpj Quantum Inf
Fontana E   +4 more
europepmc   +1 more source

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