Results 81 to 90 of about 75,962 (250)

Secondary flow mitigation through impeller revamping of a centrifugal pump to improve efficiency and mitigate energy loss

Case Studies in Chemical and Environmental Engineering
Centrifugal pumps play a crucial role in various industries such as chemical and power generation plants, consuming a significant portion of energy.
Seyedeh Mina Amirsadat, Ahmad Azari, Seyed Ahmadreza Amirsadat, Seyed Ali Atyabi, Rouhollah Fatehi, Seyed Ali Amirsadat   +5 more
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

In Silico Lung Deposition Profiles of Three Single-Inhaler Triple Therapies in Patients with COPD Using Functional Respiratory Imaging

International Journal of COPD
Dave Singh,1 Nicolas Roche,2,3 Libo Wu,4 Hosein Sadafi,5 Jan De Backer,6,7 Navid Monshi Tousi,5 Jonathan Marshall8 1Respiratory Research Group, University of Manchester, Medicines Evaluation Unit, Manchester University National Health Service Foundation ...
Singh D, Roche N, Wu L, Sadafi H, De Backer J, Monshi Tousi N, Marshall J   +6 more
doaj  

Machine-Learning-Based Multiscale Methods for 3D Modelling of Granular Materials by Incorporating History-Dependent State Variables

KONA Powder and Particle Journal
Over the past decades, the prevalence of machine learning (ML) methods has made the development of ML-based constitutive models for granular materials undoubtedly a popular subject.
Mengqi Wang, Min Wang, Shaoheng Guan, Yuntian Feng   +3 more
doaj   +1 more source

Integration of OpenCV‐Based Microscopic Adhesive Volume Measurement Into a Pyiron Workflow for Automated Data Analysis

Advanced Engineering Materials, EarlyView.
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley   +1 more source

Response to the Letter to the Editor by Zambelli et al for In Silico Lung Deposition Profiles of Three Single-Inhaler Triple Therapies in Patients With COPD Using Functional Respiratory Imaging [Response To Letter]

International Journal of COPD
Dave Singh,1 Nicolas Roche,2,3 Libo Wu,4 Hosein Sadafi,5 Jan De Backer,6,7 Navid Monshi Tousi,5 Jonathan Marshall8 1Respiratory Research Group, University of Manchester, Medicines Evaluation Unit, Manchester University National Health Service Foundation ...
Singh D, Roche N, Wu L, Sadafi H, De Backer J, Monshi Tousi N, Marshall J   +6 more
doaj  

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source