Results 121 to 130 of about 5,551,543 (292)
Multi-Scale and Multi-Physics Models of the Transport of Therapeutic/Diagnostic Cancer Agents. [PDF]
Cancers (Basel), 2023 Moradi Kashkooli F, Kolios MC.
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Engineering ProceedingsInnovative structures technologies can contribute to increasing the sustainability of next-generation aircraft. Advanced multi-disciplinary physics models, combined with data-based models, are needed to obtain optimized structures with maximum ...
Johan Kos +5 more
doaj +1 more source
Report and recommendations on multimedia materials for teaching and learning quantum physics [PDF]
, 2015 An international collaboration of physicists, affiliated with Multimedia Physics for Teaching and Learning (MPTL) and MERLOT, performed a survey and review of multimedia-based learning materials for quantum physics and quantum mechanics.
Mason, B +9 more
core
Multi-physics modelling approach for investigation of moisture dynamics in power transformers
, 2016 The presence of moisture in a power transformer is harmful to its oil–cellulose system and can also accelerate the ageing. Therefore, it is necessary to estimate the moisture content inside the transformer.
Ekanayake, Chandima +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating
IEEE AccessMicrowave heating processes require accurate simulation of time-varying electromagnetic (EM) properties to ensure reliable temperature predictions. Conventional methods which require conducting full-wave EM simulations at every thermal step, impose ...
Jeong-Wan Lee +2 more
doaj +1 more source
Multi-Physics Simulation of Tar-Rich Coal In Situ Pyrolysis with a Multiregion Homogenization Treatment. [PDF]
ACS Omega, 2023 Ye Q, Li M, Hao J, Huang Z, Wei J.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source