Society of Vacuum Coaters (SVC)的动态

?Dear LinkedIn Community, ?? We are thrilled to once again collaborate with the great Dean Barker into microfluidic computational fluid dynamics (CFD), intricately focused on filtering particles from blood. Join us on a journey of innovation and discovery through our latest video! ? ??? Project Scope: Our mission? Develop a particle filtration system rooted in a non-Newtonian rheological model. From conceptual sketches to tangible solutions, our vision was to guide particles through a complex, efficient path for optimal filtration efficacy. ? ??? Scientific Exploration: Delving into fluid dynamics, we harnessed inertial effects to selectively separate particles—think of it as the age-old helium balloon conundrum in an accelerating vehicle. Our methodology emphasized altering fluid direction, not velocity, for particle separation. ? ??? From Concept to Execution: Powered by COMSOL Multiphysics, we meticulously tracked particle trajectories within diverse geometries. See our journey unfold highlighting our 2D flow field solutions and pivotal findings. ? ??? Key Insights: Serpentine flow paths showed promise, but our breakthrough emerged with a linear channel geometry. This innovative design facilitated precise particle manipulation, directing them efficiently towards designated capture zones. ? ??? Project Summary: Over a concentrated two-week period, we explored and modeled approximately 20 geometries, culminating in a robust proof-of-concept design poised for further engineering refinement. ? ??? Ready for an exclusive behind-the-scenes look? Watch the CFD video to witness the meticulous transformation of conceptual sketches into tangible solutions, navigating through channel geometries and particle dynamics. ? ????? Eager to delve deeper or share your insights? Your engagement fuels our passion for progress and drives our collective pursuit of excellence. Let's embark on this collaborative journey towards tailored transformative solutions! https://lnkd.in/gyppy9yd #Microfluidics #CFD #ParticleFiltration #Innovation #p3pd #productdevelopment #phasethreeproductdevelopment

? Light interaction with nanoparticles. #nanophotonics #COMSOL #technology Do you know about the MIE theory? It explains that light emitted by small particles (on the nanometric scale) when illuminated can be expressed as the sum of contributions from simpler light emission modes. The calculation of the values of these emission modes is referred to in scientific terms as ???????????????????? ??????????????????????????. This decomposition involves breaking down the light emitted by the nanoparticle into its various contributions from simpler light emission modes. In the case of MIE theory, this decomposition is only calculable for spherical particles. However, modern theoretical models have made it possible to calculate these modes for more complex shapes. One such model is the ?????????? ???????????????????? ?????????????????? ?????????????????????????? ???? ?????????????????? ??????????????????????. The results below are an implementation of this theoretical model that I carried out using the multiphysics simulation software COMSOL. In the reading direction, we have the multipolar decomposition moments up to the octupole, in an environment medium with refractive index of n = 1.5 for a nanoparticle with n = 4. Specifically: ?? A sphere with a diameter of 200 nm. ?? A cylinder with a diameter of 240 nm and a height of 100 nm. ?? An exotic shape with sides of 270 nm and a height of 120 nm. In all cases, the nanoparticle is illuminated from above by a plane electromagnetic wave (light) polarized along the x-axis, except for the bottom-right case, where the wave is polarized along the y-axis. The labels p and m, QE and QM, OE and OM correspond respectively to the contributions of the multipole moment?(modes) of: ?? The electric dipole (p) and magnetic dipole (m). ?? The electric quadrupole (QE) and magnetic quadrupole (QM). ?? The electric octupole (OE) and magnetic octupole (OM). The labels TOT and COMS correspond respectively to: ?? TOT: The light scattering (emission) obtained by summing contributions of the multipole moments up to the octupole. ?? COMS: The value numerically calculated by the theoretical models of electromagnetism in COMSOL. You can observe the good agreement between the summed contributions (TOT) curve and the values computed by COMSOL curve. This agreement demonstrates that the model I implemented in COMSOL is an effective analytical tool for understanding the fundamental emission modes of these nanoparticles. ? References: https://lnkd.in/dtp5T-t7 https://lnkd.in/dbjTTMtJ https://lnkd.in/dSw5MDdP https://lnkd.in/d5Vxms_N https://lnkd.in/dW-KrjpB https://lnkd.in/d-RwP9Pj ? Thanks to the NAM lab at EPFL, which enabled me to produce these results: https://lnkd.in/dRnNaxAJ

???Unravel Precision: ICP Optimization for Plasma Etching ???Introduction: Plasma processing reactors are the backbone of semiconductor fabrication, enabling precise etching and layer deposition. Among these,?inductively coupled plasmas (ICPs)?are the workhorses of modern etching technology. ???The Challenge: Controlling ion flux at the wafer surface is critical for achieving accurate etched feature profiles. However, various factors influence ion behavior, including gas flow, coil distribution, absorbed power, and reactor dimensions. ???Our Approach: In our study, we harnessed the power of?COMSOL Multiphysics?with Plasma and Optimization modules. Our mission? To fine-tune an ICP reactor’s coil distribution, ensuring a uniform ion flux at the bottom electrode. ???Results: ?????? Enhanced process uniformity ?????? Optimized coil arrangement ???Connect with Us: Curious about plasma processing modeling? Reach out to Jose Fonseca?and/or?Alessandro Ruocco! Let’s explore the fascinating world of semiconductor fabrication together. ?? #Semiconductors #ICP #RIE #Etching #ALD #PlasmaPhysics #PlasmaProcessing #PlasmaModelling #COMSOL

Modeling and simulation in tribology across scales is an essential field that encompasses a wide range of physical, chemical, and mechanical phenomena. These simulations focus on several key areas: 1. Rough Surface Representations: Accurately modeling the complex topography of contacting surfaces at different scales. 2. Nano- and Microscale Phenomena: Investigating the breakdown of continuum theories at smaller scales, where discrete atomic and molecular interactions become significant. 3. Multiscale and Multiphysics Aspects: Developing analytical and computational models that bridge different length scales and incorporate various physical processes relevant to tribology. 4. Nonlinear Effects: Accounting for nonlinear phenomena such as plasticity, adhesion, friction, wear, lubrication, and surface chemistry in tribological models. 5. Applications Across Sectors: Simulating tribological systems relevant to automotive, biotribology, and nanotechnology industries. 6. Contact Mechanics: Modeling various types of contacts, including sharp edge contacts, pin-loaded contacts, and partial slip conditions. 7. Lubricant Behavior: Simulating elastohydrodynamic lubrication and the effects of surface roughness on lubrication performance. 8. MEMS/NEMS: Investigating nanotribology and nanomechanics in micro- and nanoelectromechanical systems. These simulations aim to improve our understanding of tribological phenomena across different scales and contribute to the development of more efficient and sustainable tribological systems. By leveraging advanced modeling and simulation techniques, we can enhance the performance and longevity of materials and components in various applications, ultimately driving innovation and sustainability in industries reliant on tribological systems. https://lnkd.in/eg2K26mS #Tribology #Modeling #Simulation #Engineering #Innovation #Sustainability #Nanotechnology #Biotribology #Automotive #MEMS #NEMS

The operation of high-performance gradient coils in Magnetic Resonance Imaging (MRI) is significantly limited by Joule heating from the oscillating (AC) currents. While computational modeling can be helpful in estimating the expected heat load, doing so is notoriously difficult due to the complexity of the coil geometry and varying spatial and temporal scales of the underlying physics. Specifically, modeling of the induced electric currents, especially eddy currents, requires small spatial scales (~100?μm) and temporal scales (~10?μs) whereas thermal mechanisms play out on larger spatial and temporal scales. We solve this challenging multi-physics problem using a robust and efficient in-house finite element method (FEM) pipeline. This automated pipeline consists of a dedicated mesh generation and optimization routine and an efficient scalable FEM solver based on the fantastic open-source #MFEM C++ library developed and maintained by the Lawrence Livermore National Laboratory. The efficient FEM pipeline allows us to quickly analyze a large array of hypothetical coil designs, enabling iterative refinement and improved gradient coil usability.

Ultrasonics Sonochemistry (ISSN: 1350-4177, IF: 8.7, CiteScore 15.8, Elsevier) is currently running a Special Issue entitled “Advanced Techniques to Reveal the Underlying Physics of Ultrasonic Processing”. This Special Issue is dedicated to providing direct insights into the interaction of cavitation bubbles with matter, through in-situ observations and acoustic measurements, as well as numerical physics-based models, including those using artificial intelligence tools, validated through experimental means. Papers are invited on the development of novel dedicated characterization techniques, their uses in a wide range of ultrasonic processing applications, and coupling to advanced multi-scale, multi-physics modelling. All articles submitted before the 1st of March, 2025 will receive 30% discount on APC charges. However, there is?no need to wait until the deadline, submissions will be processed and peer-reviewed as they will come in, and the accepted papers will be published without delay.? Further details are found below and online:?https://lnkd.in/dsc-3ytZ

The fields of Multiphysics, Microfabrication, and System Integration form the foundational pillars of Micro-Electro-Mechanical-System (MEMS) simulation. By focusing on these verticals, we enable the generation, interpretation, and presentation of substantial data, thereby enhancing our understanding and capabilities within the MEMS domain. With nearly three decades of experience collaborating with diverse segments of MEMS researchers—including academia, research institutions, and product/service companies—globally, we have accumulated valuable insights. We are excited to demonstrate how IntelliSuite can significantly benefit MEMS enthusiasts across various roles. We invite you to discover the potential of our software alongside us. Please feel free to share your thoughts and engage in this exploration with us. #mems #micromachining #microfabrication #silicon #processflow #lithography #wetetching #drie

Do you need to analyze your key materials to predict their properties and gain a deeper understanding of their nature? Studying atomic systems with our simulation?software allows engineers and researchers to model physical phenomena and predict the behavior of complex materials, including semiconductor compounds, crystals, bulk materials, nanomaterials (of types 1D, 2D, 3D), battery materials, spintronics, and topological materials—the list is extensive! For more information, refer to the 1-page overview of the atomistic simulation solutions offered by RESCU (physics modeling KS-DFT) and NanoDCAL (NEGF-DFT for quantum transport). You don't need to be a DFT expert to leverage the in silico capabilities of our tools. We provide contract research services that include specific project terms, specifications analysis, and the delivery of detailed reports with our recommendations. Join us with our tailored solutions—let's collaborate and set your breakthrough materials apart in the market well ahead of your competitors! In summary, our tools can operate on a laptop for average-to-large atomistic systems (up to 500 atoms), with the capability to parallelize computations on cluster systems for much larger systems (over 10,000 atoms). ?? [email protected] #graphene #nanotechnology #nanotechnologies #materials #materialscience #materialsscience #simulationsoftware #modelingandsimulation #physics #nanotech #atomic #insilico #randd #science #2dmaterials #hpc #cluster #license #3dmodeling #3d #moleculardynamics #innovation #applicationdevelopment #machinelearning #optimization

I'm excited to announce the publication of our latest paper titled "Morphology-Driven Nanofiller Size Measurement Integrated with Micromechanical Finite Element Analysis for Quantifying Interphase in Polymer Nanocomposites" in the renowned ACS Applied Materials & Interfaces Journal (IF 8.3). This journal is celebrated for its excellence in interface engineering across diverse application fields. Our study addresses the issue of unrealistic particle sizes often assumed in numerical models, which typically correspond to their initial as-received size. We propose a more realistic approach by utilizing morphological segmentation based on a clustering technique integrated with advanced image processing. This method allows for an accurate particle size distribution, from which we calculate an average size. This average size is then used to quantify the interfacial properties in polymer nanocomposites using a combined FEM-micromechanical approach. Our methodology offers a more realistic assessment by considering the effects of particle size distribution, ranging from completely uniform to aggregated states. For free access to the article, follow this personalized URL:

Excited to share my latest publication! My recent paper, entitled "Crystal Plasticity Finite Element Simulations of Nanoindentation and Simple Compression for Yielding of Ta Crystals," has been published in the International Journal of Solids and Structures. This study delves into the behavior of Ta single crystals under nanoindentation loading both experimentally and numerically. Through advanced crystal plasticity finite element simulations, we explore the yielding mechanisms of 15 randomly selected Ta single crystals during nanoindentation. ?? Key Highlights: * Detailed insights into the yielding behavior of Ta crystals. * Utilization of crystal plasticity finite element modeling for accurate simulations. I'm thrilled to contribute to the understanding of material deformation at the nanoscale and look forward to the discussions and insights from the community! ?? https://lnkd.in/eern2kdu #Research #MaterialsScience #FiniteElementAnalysis #CrystalPlasticity #Nanoindentation #MechanicalEngineering #TantalumCrystals