23 papers · ranked by Valyu relevance
Tao Zhang, Zhenhai Liu, Feipeng Qi, Yongjun Jiao + 1 more
Multiphysics simulation, which models the interactions between multiple physical processes, and multi-component simulation of complex structures are critical in fields like nuclear and aerospace engineering. Previous studies often rely on numerical solvers or machine learning-based surrogate models to solve or…
Oliur Rahman, Md Mahbubur Rahman, Onu Akter, Md Nizam Uddin + 5 more
This review deals with the development and progress of micro-electromechanical systems (MEMS) actuators, which are needed in microfluidic applications, such as lab-on-a-chip and diagnostics. In the last 10 years, there have been tremendous advances in materials, microfabrication and computational modeling that have…
Changfan Yang, Lichen Bai, Yinpeng Wang, Shufei Zhang + 1 more
Solving partial differential equations (PDEs) with machine learning has recently attracted great attention, as PDEs are fundamental tools for modeling real-world systems that range from fundamental physical science to advanced engineering disciplines. Most real-world physical systems across various disciplines are…
Johannes Weickenmeier
The human brain remains an endless source of wonder and represents an intruiging scientific frontier. Multiphysics approaches naturally lend themselves to combine our extensive knowledge about the neurobiology of aging and diseases with mechanics to better capture the multiscale behavior of the brain. Our group uses…
B. Patzák, Vít Šmilauer, M. Horák, Stanislav Šulc + 1 more
This paper presents the design of the MuPIF distributed, multi-physics simulation platform and its performance in the context of the H2020 Composelector project. The description of MuPIF's model and data interfaces provides implementation and operational details that illustrate how MuPIF is a highly versatile and…
Łukasz Łach, Dmytro Svyetlichnyy, Ganfeng Tu, Jaroslav Kováčik + 2 more
Powder bed fusion (PBF) is a widely adopted additive manufacturing (AM) process category that enables high-resolution fabrication across metals, polymers, ceramics, and composites. However, its inherent process complexity demands robust modeling to ensure quality, reliability, and scalability. This review provides a…
Kart–Leong Lim, Rahul Dutta, Mihai Rotaru
—Finite element simulations are run by package design engineers to model design structures. The process is irreversible meaning every minute structural adjustment requires a fresh input parameter run. In this paper, the problem of modeling changing (small) design structures through varying input parameters is known as…
Omer San, Adil Rasheed, Trond Kvamsdal
Most modeling approaches lie in either of the two categories: physics-based or datadriven. Recently, a third approach which is a combination of these deterministic and statistical models is emerging for scientific applications. To leverage these developments, our aim in this perspective paper is centered around…
Evaggelos Kaselouris
Advances in materials science, engineering, and computer science have created new opportunities for physicists and engineers to develop novel methods for material processing and characterization. This has led to a greater need for advanced modeling and simulation techniques that can capture multiphysics phenomena…
Pradeep Keshavanarayana, Emmeline Brown, Philip Luthert, Rebecca Shipley + 1 more
To investigate the interplay between biomechanics, fluid dynamics, and solute transport in Diabetic Macular Oedema (DMO) using a mechanics-based computational model, aiming to elucidate mechanisms behind variable treatment outcomes. We developed a multiphysics model of the retina within a porous media framework. The…
Emma Glass, Sahil Kulkarni, Christina Eng, Shurui Feng + 2 more
Nanoparticles (NP) are being increasingly explored as vehicles for targeted drug delivery because they can overcome free therapeutic limitations by drug encapsulation, thereby increasing solubility and transport across cell membranes. However, a translational gap exists from animal to human studies resulting in only…
Llion Marc Evans, Emrah Sözümert, Bethany E. Keenan, Charles E. Wood + 1 more
'Anton du Plessis'] Image-Based Simulation (IBSim) is the process by which a digital representation of a real geometry is generated from image data for the purpose of performing a simulation with greater accuracy than with idealised Computer Aided Design (CAD) based simulations. Whilst IBSim originates in the…
Authors not listed
This conceptual paper introduces the Adaptive Multi-Resolution Modeling Framework (AMRMF), a novel technique designed to revolutionize chemical engineering by integrating multi-scale simulations, quantum-inspired algorithms, advanced uncertainty quantification, and Bayesian inference. The framework bridges theoretical…
Mohit Agarwal, Parameshwaran Pasupathy, Xuehai Wu, Stephen S. Recchia + 1 more
'Stephen S. Recchia' 'Assimina A. Pelegri'] Herein, state-of-the-art multiscale modeling methods have been described. This research includes notable molecular, micro-, meso-, and macroscale models for hard (polymer, metal, yarn, fiber, fiber-reinforced polymer, and polymer matrix composites) and soft (biological…
Authors not listed
Electrolyte wetting in a lithium-ion battery (LIB) cell is a time-intensive, quality-critical manufacturing step that determines the degree of homogeneity of lithium ion's transport within the electrode and separator pores, affecting ionic conductivity and current density. If the electrolyte is inadequately…
Authors not listed
Kinetic modeling is essential for predicting changes in food quality during processing and storage. This study evaluates the application of physics-informed neural networks (PINN) for food kinetic modeling, integrating kinetic insights into neural network frameworks. Based on three case studies, namely seed drying…
Barak Raveh, Liping Sun, Kate L. White, Tanmoy Sanyal + 11 more
Comprehensive modeling of a whole cell requires an integration of vast amounts of information on various aspects of the cell and its parts. To divide-and-conquer this task, we introduce Bayesian metamodeling, a general approach to modeling complex systems by integrating a collection of heterogeneous input models. Each…
T.J. Sego, James P. Sluka, Herbert M. Sauro, James A. Glazier
Tissue Forge is an open-source interactive environment for particle-based physics, chemistry and biology modeling and simulation. Tissue Forge allows users to create, simulate and explore models and virtual experiments based on soft condensed matter physics at multiple scales, from the molecular to the multicellular…
Authors not listed
Accurate prediction of battery behavior under different dynamic operating conditions is critical for both fundamental research and practical applications. However, the diversity of emerging materials and cell architectures presents significant challenges to the generalizability of conventional prognostic approaches.…
Authors not listed
Deriving versatile and robust mechanistic models from experimental data is a key challenge in engineering and natural sciences. This is especially true in chemical reaction engineering, where reactor manufacturers and operators increasingly pursue the development and maintenance of digital twins that rely on frequent…
Christopher Schölzel, Valeria Blesius, Gernot Ernst, Andreas Dominik
Reproducible, understandable models that can be reused and combined to true multi-scale systems are required to solve the present and future challenges of systems biology. However, many mathematical models are still built for a single purpose and reusing them in a different context can be challenging due to an…
Jessica S. Yu, Blair Lyons, Susanne Rafelski, Julie A. Theriot + 2 more
Iterating between data-driven research and generative computational models is a powerful approach for emulating biological systems, testing hypotheses, and gaining a deeper understanding of these systems. We developed a hybrid agent-based model (ABM) that integrates a Cellular Potts Model (CPM) designed to investigate…
Ritambhara Dash, Abhay Kumar Rajak, Ramagiri Praveen Kumar, Parameshwar Kommu + 3 more
Bio ceramics have enormous applications in the medical field as being used as implants. The base material in bioceramics is mostly calcium phosphate which comes in the form of hydroxyapatite (HAp) or Beta-tricalcium phosphate (β-TCP). The other materials are silica and alumina. The different blends of these bioceramics…