Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin’s Post

I am delighted to announce my latest study done in Prof. Sheng Shen's group at CMU Department of Mechanical Engineering (MechE) is published in Science Advances titled "Brochosome-inspired binary metastructures for pixel-by-pixel thermal signature control". https://lnkd.in/ejZv_Bj5 Inspired by the leafhopper brochosomes, we design binary metastructures functioning as pixel twins to achieve pixelated thermal signature control at the microscale. In the infrared range, the pixel twins exhibit distinct emissivities, creating thermal counterparts of “0-1” binary states for storing and displaying information (for example, the QR code below). In the visible range, the engineered surface morphology of the pixel twins ensures similar scattering behaviors. This renders them visually indistinguishable, thereby concealing the stored information. The unique combination of visible camouflage and infrared display offers a systemic solution to microscale spatial control of thermal signatures and has substantial implications for optical security, anticounterfeiting, and data encryption. We are excited about the new research area this work has opened, as infrared light has been turned from an energy carrier to an information carrier! This work is done under the collaboration with Prof. Tak Sing Wong's group at Penn State University. Z.L. and L.W. contributed equally to this work.

Good opportunities

I'm grateful to Commonwealth Scholarship Commission, the 32 Commonwealth countries and the textile machine and materials manufacturers for supporting my doctoral research at the University of Leeds, UK. In my research, I combined artificial intelligence, laser vision and mechatronics to control the real-time visco-elastic phenomena of materials to prevent start-up marks in fabrics woven on power looms. Designed a computer controlled system to investigate and compensate real-time visco-elastic properties of materials with 1 µm precision (previous record 5 µm) for producing fault-free fabrics. Integrated optoelectronic laser sensors and actuators to optimize machine and materials interactions to minimize fabric faults significantly. I used visco-elastic viscose rayon filament yarn for this study with a vision to measure the visco-elastic phenomena of textile materials in static and dynamic situations and correct them accordingly. My research and innovation consistently created proprietary process, product and technology solutions for challenging applications and a lengthy list of patents, publications and scientific presentations. You will find my selected patents, book chapters and publications links to my profile. Explore and enjoy how our contributions and new knowledge creations are impacting global innovation horizon ... https://lnkd.in/ghXrTPjr #Textile #Technology #Research #Innovation #VisionCreatesValue

Research Seminars For Postgraduate Studies in Engineering--arranged by Faculty of Engineering, American International University-Bangladesh, AIUB. The four topics were: 1. Smart Sensor Using Electrical Impedance and Spectroscopy for Plant Phenotyping. 2. Importance of Two- Dimensional Materials in Engineering Field. 3. Simulation Prospects of Electronic Devices Using COMSOL: from Nanowires to Amplifiers. 4. Research Opportunities of Composite Materials.

Happy to be a “Challenge” part of the #GIFTed. A talent development program providing the possibilities for the talented students of Kaunas University of Technology (#KTU) to improve and realize their abilities in science and business by participating in the “Challenge” activities. Our #challenge - is to identify the optimal laser parameters for cleaning print on paper and explore possibilities for a customer-friendly prototype. Let's go! 🚀🚀🚀

We're pleased to kick off 2024 by welcoming new faculty member, Jan Niklas Fuhg. Fuhg, who recently completed his Ph.D. at Cornell University, joins us as an assistant professor. "My research aims to develop the tools that allow for a broad range of materials to be characterized quickly and accurately. They can then be applied to a wide variety of materials, such as biomedical equipment, prosthetics, artificial bones and more," said Fuhg. Learn more about Fuhg's work on developing theoretical and computational tools for modeling and forecasting the mechanics of materials: https://lnkd.in/gpjm_Wv7 #Materials #ComputationalMechanics #Simulations #TexasEngineering #WhatStartsHere Cockrell School of Engineering, The University of Texas at Austin | Oden Institute for Computational Engineering and Sciences | University of Texas Center for Space Research

Join nanoHUB.org (Network for Computational Nanotechnology - NCN) in August and September for a seven-part Recitation Series featuring the ABACUS Tool Suite (https://lnkd.in/erv5YJ4t) and demonstrating how it can be used in the classroom for #semiconductor education. Part three takes place TODAY (Aug. 24) from 11 a.m. to 11:45 a.m. EDT. Register here: https://lnkd.in/gnHiW5bT. The objective of the recitation series is to enable faculty to enhance existing or new semiconductor classes with interactive #simulations. Simulations and animations can immerse students into “what if?” scenarios and engage them in more active forms of learning through homework assignments and design projects assignments.   In this third session, Dr. Klimeck, Director of nanoHUB and Professor of Electrical and Computer Engineering at Purdue University, will give a brief overview of ABACUS and demonstrate the Drift-Diffusion-Lab. Students can experiment with a semiconductor slab under bias and/or light illumination. They can explore how illumination from the top of an intrinsic semiconductor increases the overall current and separates the hole and #electron distribution across the device. Drift-Diffusion-Lab is powered by the industrial tool PADRE which was used at Bell Labs to design #transistors.

Electronic devices that function at lava-like temperatures of several thousand degrees Celsius? A new class of high-performance materials could soon make this possible. A team of researchers led by materials scientists at Duke University (USA) has presented a computational method that can be used to rapidly develop hundreds of representatives of a new class of materials that are so heat-resistant and electronically stable that they could enable devices to function in extreme heat. These materials are ceramics made from so-called high-entropy metal carbonitrides or borides. This special type of compound forms highly disordered structures, so-called high-entropy phases. The random distribution of cations in the material leads to a high degree of reflection and interference of waves, resulting in special mechanical, electronic and thermal properties. #nanotechnology #materialsscience #advancedmaterials #engineering #electronics #innovation #technology #scienceandtechnology

Dr. Immanuel Paulraj recently conducted a course facilitator session on the topic of "Crystal Imperfection and Defects," shedding light on the fundamental concepts and applications of defects in crystal structures. Crystal imperfections and defects play a pivotal role in determining the properties and performance of materials, particularly in the fields of materials science and engineering. During the session, Dr. Paulraj introduced the audience to the basics of crystal lattice structures and the different types of defects that can occur in them. These include point defects such as vacancies and interstitials, line defects such as dislocations, and surface defects such as grain boundaries and twin boundaries. He emphasized the importance of these defects in influencing the mechanical, thermal, electrical, and optical properties of materials. Dr. Paulraj provided a comprehensive overview of the techniques used to study and analyze crystal defects. These include X-ray diffraction, electron microscopy, and various spectroscopic methods. Through these techniques, researchers can gain insights into the arrangement and behavior of atoms within a crystal, as well as identify and characterize different types of defects. The session also explored the impact of defects on the performance of materials in various applications, such as semiconductors, ceramics, and metals. For instance, dislocations can strengthen metals, while point defects can modify the electrical properties of semiconductors. Understanding and controlling these imperfections can lead to the development of new materials with tailored properties for specific applications. Dr. Paulraj highlighted recent advancements in the field, such as the use of computational modeling to simulate and predict the behavior of defects in crystals. This has opened up new possibilities for designing materials with desired properties and improved performance. In conclusion, Dr. Immanuel Paulraj's session on "Crystal Imperfection and Defects" provided attendees with a thorough understanding of the significance of defects in materials science. His expertise and insights offered valuable knowledge for researchers, students, and professionals interested in exploring the fascinating world of crystal imperfections and their impact on material properties. #snsdesignthinking #snsinstitution #designthinkers

🎓 PhD Defense Announcement Join us as we embark on a Luis Miguel Zapata Tamayo journey into virtual sensing in mechatronic systems. Title: "Integrating Model-Based and Data-Driven Approaches for Input/State Estimation of Mechanical Systems" 🗓️ Thursday, 25 January 2024, 10:00 📍 Venue: aula Emma Vorlat (Leercentrum Agora)  🔗 Virtual Link: https://lnkd.in/enuRQRaE Luis will delve into the concept of virtual sensing, which involves estimating crucial variables by combining mathematical models and algorithms with cost-effective direct physical measurements. This innovative approach addresses the principal challenge of accurately estimating unmeasured parameters in complex systems, especially across large frequency bands. 💡 Key Highlights of the Research Developing a combined approach using impulse response matrix deconvolution and a Kalman filter for enhanced force and state estimation. Introducing sensor fusion technique based on weighted least squares to improve estimate accuracy. Validation of the framework on complex commercial mechanical systems, demonstrating significant error reduction in observed vs. estimated forces.   #PhD #Mechatronics #Innovation #Engineering #Academic #FlandersMake Frank Naets, Wim Desmet KU Leuven KU Leuven Department of Mechanical Engineering/Departement Werktuigkunde KU Leuven Faculty of Engineering Science Flanders Make