Results 81 to 90 of about 75,414 (250)

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

Computational Fluid Dynamics and Computational Fluid Dynamics (Vol. 2) [PDF]

Journal of Fluids Engineering, 1981
Wolfgang Kollman, Philip T. Harsha
openaire   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
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  

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +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

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

Study of blood flow patterns in a stenosed artery through the combined effect of body acceleration and generalized womersley solution

Scientific Reports
Stenosis causes the narrowing of arteries due to plaque buildup, which impedes blood flow and affects flow dynamics. This work numerically analyzes flow fluctuations in stenosed arteries under realistic physiological conditions (resting and exercise) and
Mahesh C. Udupa, Sunanda Saha, Sekarapandian Natarajan   +2 more
doaj   +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