Wevolver&rsquo;s University Technology Exposure Program invited student-researchers from across the globe to showcase their projects to thousands of engineers and company owners. The event was open to recent graduates and saw the participation of dozens of students and teams.We are happy to announce Mikhail Basov, the winner of the University Technology Exposure Program 2022. Mikhail receives a prize of $5,000 for his research work on a novel circuit design, &lsquo;piezo sensitive differential amplifier with negative feedback loop (PDA-NFL).&#39;This article summarises the winning project and six other submissions that were shortlisted for the final evaluation by the jury.<h2 dir="ltr">The Jury</h2>Rachel Gordon, Ash Ravikumar, and Bram Geenen were part of the jury. Rachel holds a bachelor&#39;s in international relations. She is currently working with the Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), as a Communications &amp; Media Relations Officer. Ash is in charge of the Business Incubation Centre (BIC) at the European Council for Nuclear Research (CERN). The goal of BIC is to cultivate a culture of entrepreneurship. Bram is the CEO and Co-founder of Wevolver, an award-winning one-of-a-kind platform dedicated to sharing knowledge and creating networking opportunities.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjYyNzM5OTM5NzAyLUp1cnkucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii" alt="rachel-gordon-ash-ravikumar-bram-geenen-utep-2022-jury"><h2 dir="ltr">The winner: <a href="https://www.wevolver.com/article/novel-circuit-design-approach-makes-pressure-sensors-smaller-and-more-sensitive" target="_blank">Novel circuit design approach makes pressure sensors smaller and more sensitive</a> - <a href="https://www.wevolver.com/profile/mikhail.basov" target="_blank">Mikhail Basov</a></h2>Micro-electromechanical systems (MEMS) sensors are miniature devices built by fabricating mechanical and electronic components responsible for carrying out the sensing process on a silicon chip. These devices have the advantage of small size and are widely used in various sectors, including manufacturing industries, biomedical applications, consumer products, and more. Balancing the performance and size of components is one of the main challenges faced by an R&amp;D engineer working in the field of MEMS.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjYyNzI2NDk3MTU4LUdyb3VwIDV0ZXN0LnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" class="fr-fic fr-dii" alt="mikhail-basov-wevolver-university-technology-exposure-program-2022-winner">New sensor design and fabrication processes add incremental improvements to the technology, but most sensors have used the classic Wheatstone bridge circuit for more than 50 years. Mikhail proposes a novel circuit design, &lsquo;piezo sensitive differential amplifier with negative feedback loop (PDA-NFL)&rsquo;, that aims to significantly improve the sensitivity and reduce the size of the sensor.The market (after first-level packaging for MEMS pressure sensors) is currently growing with a CAGR of 5.1% and will reach $2.2B in 2022 vs. $1.6B in 2020). The presented pressure sensor chip PDA-NFL, or rather the type of the proposed electrical circuit, will have high relevance for applications in all fields that require precise pressure sensing. Here are some examples of its applications:<ul><li dir="ltr">In automotive systems, the novel circuit can be used for powertrain, Manifold Absolute Pressure (MAP), Barometric Air Pressure (BAP), particle filter, fuel tank, exhaust gas recirculation, engine oil, automatic transmission oil, Tire Pressure Monitoring System (TPMS), brake booster, side airbags, pedestrian protection, and more.</li><li dir="ltr">It can be used in consumer electronic products such as smartphones, watches, Internet of Things (IoT) devices, smart home devices, etc.</li><li dir="ltr">Industrial systems can also extensively use such sensing circuits in applications such as Heating, Ventilation, and Air Conditioning (HVAC), industrial process controls, and transportation.</li><li dir="ltr">PDA-NFL is relevant in medical systems such as blood Monitoring (invasive), respiratory care, and smart inhalers.</li><li dir="ltr">The technology can also be applied to the Defense/Aerospace sector in air data acquisition, Full Authority Digital Engine Control (FADEC), hydraulics, etc.</li><li dir="ltr">Additionally, the pressure sensor chips PDA-NFL can be used in a variety of studies and research in hydromechanics, robots, biophysics, acoustics, geophysics, and a lot of other projects.</li></ul>Read the complete article by Mikhail here: <a href="https://www.wevolver.com/article/novel-circuit-design-approach-makes-pressure-sensors-smaller-and-more-sensitive" target="_blank">Novel circuit design approach makes pressure sensors smaller and more sensitive</a>.In addition to the winning article, here are the six other articles that were shortlisted for the final round of evaluation by the jury:<h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/how-to-survive-on-mars" target="_blank">How to Survive on Mars?</a> - <a href="https://www.wevolver.com/profile/mark.baldry" target="_blank">Mark Baldry</a></h3>Did you know that it would take around 225 tonnes of rocket fuel to deliver a single tonne of any material (including fuel) to the martian surface? Transporting materials from the earth during space travel is among the biggest engineering challenges faced by space exploration teams. Long-duration exploration missions would just not be possible if the astronauts were to depend on transporting all life-supporting systems from the earth.&nbsp;To solve this problem, engineers are looking to convert raw materials available on the heavenly body into useful products. Martian regolith, the grainy layer of dust and rock covering mars&rsquo; surface, can be used to extract water, breathable oxygen, and alloys. Using a systematic approach, raw materials can be converted into versatile, small molecules, which can be combined in a variety of ways to form valuable products.In this submission by Dr. Mark Baldry from the University of Sydney, he explains an integrated system for producing essential materials on Mars using local resources, paving the way for self-sufficient settlements. The applications for this technology are not limited to a Martian settlement but may also form the basis of establishing a Lunar refueling station to facilitate trips to Mars and the wider solar system. Closer to home, this technology can help remote communities in harsh conditions be less reliant on expensive resupply.Here is the link to the article: <a href="https://www.wevolver.com/article/how-to-survive-on-mars" target="_blank">How to Survive on Mars?</a>&nbsp;<h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/making-3d-printers-smarter-with-mtouch-a-low-cost-automatic-fault-detection-system" target="_blank">Making 3D printers smarter with MTouch, a low-cost automatic fault detection system</a> - <a href="https://www.wevolver.com/profile/sam.aidala" target="_blank">Sam Aidala</a></h3>Desktop fused filament fabrication (FFF) 3D printers are fast gaining popularity as low-volume manufacturing tools. They work by heating plastic filament and extruding it through a nozzle onto a bed. A major issue with such printers is that it is extremely difficult to find out defects until the printing is complete. Manually monitoring the whole process is not an option as the process sometimes takes a long time.Sam Aidala, a recent graduate from the University of Michigan (UoM) explains in the article how a team of researchers from the Smart and Sustainable Automation Research Lab (S2A Lab) at the UoM has developed an augmentative solution for FFF 3D printers capable of detecting multiple types of faults in real-time. It is a module that determines if the object being printed has millimeter-scale geometric defects. It checks for the presence or absence of the print at specific locations and compares it to pre-computed expected results.Check out the submission by visiting this link: <a href="https://www.wevolver.com/article/making-3d-printers-smarter-with-mtouch-a-low-cost-automatic-fault-detection-system" target="_blank">Making 3D printers smarter with MTouch, a low-cost automatic fault detection system</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/modeling-design-and-control-of-a-hosing-drone-unmanned-aerial-system" target="_blank">Modeling, Design, and Control of a Hosing-Drone Unmanned Aerial System</a> - <a href="https://www.wevolver.com/profile/blake.hament" target="_blank">Blake Hament</a></h3>Workers put themselves in danger every day to clean bridges and overpasses with pressure washing. Often, they are suspended beneath or beside the infrastructure while spraying at a pressure of over 3000 PSI. Water and debris can splash back into the workers&#39; eyes, noses, and mouths, or worse, dislodge them from their precarious perches. Frequent injuries are reported.To make the job safer and faster, Blake Hament, a Ph.D. student at the University of Nevada, Las Vegas introduces a multicopter that can fly close to bridges, overpasses, and other pieces of large infrastructure to perform high-pressure washing. Water is pumped to high pressure on the ground and then sent to the drone via a hose. As water sprays from the actuated nozzle on the drone, the flight controller compensates for high reaction forces and torques due to the spraying.Read the submission here: <a href="https://www.wevolver.com/article/modeling-design-and-control-of-a-hosing-drone-unmanned-aerial-system" target="_blank">Modeling, Design, and Control of a Hosing-Drone Unmanned Aerial System</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/design-inspiration-from-woodpeckers-could-allow-robotic-arms-to-be-bendable-and-extendable" target="_blank">Design inspiration from woodpeckers could allow robotic arms to be bendable and extendable</a> - <a href="https://www.wevolver.com/profile/ayato.kanada" target="_blank">Ayato Kanada</a></h3>Woodpeckers have flexible and extendable tongues that they use to reach their prey through tiny openings in trees and insect burrows. The special anatomical features of woodpeckers manipulate their surprisingly long tongues. Unlike human and anteater tongues, which are made mainly of muscle, the woodpecker&#39;s tongue is rigidly supported by the bones.The team behind the project aims to take inspiration from the woodpecker&rsquo;s tongue to combine the benefits of both conventional and soft robotics to develop something like Dr. Octopus&rsquo; arms in reality. The resulting robotic hands that operate in unstructured environments can unlock multiple opportunities for application in biomedical instrumentation, manufacturing, space research, agriculture, and numerous other fields of engineering.Visit this page to read the complete article: <a href="https://www.wevolver.com/article/design-inspiration-from-woodpeckers-could-allow-robotic-arms-to-be-bendable-and-extendable" target="_blank">Design inspiration from woodpeckers could allow robotic arms to be bendable and extendable</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/surface-engineered-nickel-rich-cathode-material-enabling-high-power-discharge-for-li-ion-battery-applications" target="_blank">Surface engineered nickel-rich cathode material enabling high power discharge for Li-ion battery applications</a> - <a href="https://www.wevolver.com/profile/anish.raj.kathribail" target="_blank">Anish Raj Kathribail</a></h3>Electric Vehicles (EVs) are all set to replace vehicles powered by fossil fuels. But to be successful and offer performance equivalent to conventional vehicles, they need batteries that can function with high power for an extended period of time.&nbsp;Nickel-rich materials like LiNixMnyCozO2 (NMC, x+y+z=1; where x&ge;0.5) are a popular choice for making the cathode due to their high specific capacity but undergo a drastic capacity loss, especially at high voltages due to a side reaction.The article explains a surface-coating technique for NMC particles that improves the Lithium-ion battery&#39;s total available capacity and high-power performance. The technology can be applied in vehicles, drones, power tools, military, grid storage, electronics, and more.Link to the complete article: <a href="https://www.wevolver.com/article/surface-engineered-nickel-rich-cathode-material-enabling-high-power-discharge-for-li-ion-battery-applications" target="_blank">Surface engineered nickel-rich cathode material enabling high power discharge for Li-ion battery applications</a><h3 dir="ltr">The runner-up: <a href="https://www.wevolver.com/article/predictive-model-of-adaptive-cruise-control-speed-to-enhance-engine-operating-conditions" target="_blank">Predictive Model of Adaptive Cruise Control Speed to Enhance Engine Operating Conditions</a> - <a href="https://www.wevolver.com/profile/srikanth.kolachalama" target="_blank">Srikanth Kolachalama</a></h3>Cruise control is a feature that helps a vehicle maintain its speed when being driven on long loads. It reduces driver fatigue and is a commonly available feature in many personal vehicles. Adaptive Cruise Control takes a step forward by allowing vehicles to detect and adjust their speed depending on the presence and speeds of other vehicles.This article presents a novel methodology to predict the optimal Adaptive Cruise Control Set Speed Profile (ACCSSP) by optimizing the Engine Operating Conditions (EOC) considering Vehicle Level Vectors (VLV). The work investigates EOC criteria to develop a predictive model of ACCSSP in real-time.Here is the link to the submission: <a href="https://www.wevolver.com/article/predictive-model-of-adaptive-cruise-control-speed-to-enhance-engine-operating-conditions" target="_blank">Predictive Model of Adaptive Cruise Control Speed to Enhance Engine Operating Conditions</a><h3 dir="ltr">Jury&rsquo;s remarks</h3>The competition was extremely tough due to the variety and novelty of the articles submitted by the participants this year.<blockquote>Talking about the submissions, Ash mentions, &ldquo;This year&#39;s shortlist is insanely amazing, and I really struggled with rating them. I was very torn on &ldquo;judging&rdquo; them. I don&rsquo;t think I have done justice.&rdquo;</blockquote>Rachel feels the societal relevance and impact category was extremely robust this year, touching critical verticals and applications in many relevant research areas.&nbsp;<blockquote>She says, &ldquo;The novelty bar is set very high given my exposure to research at CSAIL - for example, recent work I&#39;ve seen such as an ML model for adjusting and monitoring 3D printing process to correct errors in real-time, a lot of bio-inspired robotics, drone usage for crops, using cubic boron arsenide for chips, and so on. For the quality section, I also focused on what could potentially be scalable and feasibly extrapolated.&rdquo;</blockquote>Ash found Mikhail&rsquo;s NFA-PDL circuit and Ayato Kanda&rsquo;s woodpecker-inspired robotic arm the most innovative and technically novel projects. Among the runner-up, Ash was impressed by Sam Aidala&rsquo;s MTouch &lsquo;3D printer fault detection system&rsquo; and &lsquo;surface-engineered nickel-rich cathode material enabling high power discharge for Li-ion battery applications&rsquo; by Ayato Kanda.Along with Mikhail&rsquo;s project, Rachel rated Srikanth Kolachalama&rsquo;s &lsquo;Predictive Model of Adaptive Cruise Control Speed to Enhance Engine Operating Conditions high in terms of quality of engineering and social relevance.Ash congratulates the winners and the Wevolver team for the event&#39;s success.<blockquote>He adds, &ldquo;It is a pleasure to be a part of this event. Please continue this effort. It&rsquo;s amazing to see that you are providing a platform to showcase great engineering globally&rdquo;.</blockquote><h3 dir="ltr">Conclusion</h3>On that note, Wevolver&rsquo;s University Technology Exposure Program 2022 comes to an end. Wevolver thanks all the readers, participants, sponsors, and jury members for making the event a huge success. We wish the participants all the best for their future.&nbsp;Until then, do check out some previously published featured UTEP articles by visiting these links:<ul><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-july-august-final-update/" target="_blank">University Technology Exposure Program 2022: July-August Final Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-june-update" target="_blank">University Technology Exposure Program 2022: June Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-may-update" target="_blank">University Technology Exposure Program 2022: May Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-april-update" target="_blank">University Technology Exposure Program 2022: April Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-march-update" target="_blank">University Technology Exposure Program 2022: March Update</a></li><li dir="ltr"><a href="https://www.wevolver.com/article/university-technology-exposure-program-2022-february-update" target="_blank">University Technology Exposure Program 2022: February Update</a></li></ul><h2 dir="ltr">About the University Technology Exposure Program 2022</h2>Wevolver, in partnership with <a href="https://mouser.com/" target="_blank">Mouser Electronics</a> and <a href="https://www.ansys.com/" target="_blank">Ansys</a>, organized University Technology Exposure Program 2022. The program aimed to recognize and reward innovation from engineering students and researchers across the globe. Learn more about the program <a href="http://www.wevolver.com/student-program" target="_blank">here</a>.<img alt="university-technology-exposure-program-mouser-ansys" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjYyNzE3ODIwMzQwLTE2NjI3MTc4MjAzNDAucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">

University Technology Exposure Program 2022 invited student researchers to submit articles on their innovative projects and ideas. It’s time to announce the winner of the event who wins a prize of $5,000.

Announcing the Winner of the University Technology Exposure Program 2022

Flightmare is an open-source simulator for quadrotors that moves away from rigid paradigms and proposes a flexible modular structure that empowers the users or automated algorithms to fine-tune the simulator to the task at hand.

Flightmare: A Flexible Quadrotor Simulator

The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.

Human Behavior Identification and Recognition System

This student article explains a dynamic model developed based on modified Hill’s model using MATLAB, which can predict biomethane production with time series.

Dynamic simulation and optimization of anaerobic digestion processes using MATLAB

This student article shows the synergetic effects of a furfuryl polymer coating and subsequent calcination leading to improved electrochemical performance of nickel-rich NMC622.

High-Performance Amorphous Carbon Coated Lithium-Nickel-Manganese-Cobalt-Oxide (NMC622) Cathode Material with Improved Capacity Retention for Lithium-Ion Batteries

This student article explains the concept of Bladeless Wind Turbine wind power plants that can work optimally in areas with low wind speeds (3 to 8 m/s). We explore how the design can be optimized further to work at places with even lower wind availability.

Optimization of Mechanical Design Bladeless Wind Turbine for Electricity Fulfillment in Nusa Tenggara Timur, Indonesia

Representational image of soldiers participating in toxic industrial chemical protection and detection equipment training. Source: USArmy-Flickr

A student article showcasing an Android application called DOT-HAZMAT based on Machine Learning and Computer Vision that locates and categorizes HAZMAT placards in perilous rescue operations.


DOT-HAZMAT: An Android application for  detection of hazardous materials (HAZMAT)

This article is a part of our <a href="http://www.wevolver.com/student-program" target="_blank">University Technology Exposure Program</a>. The program aims to recognize and reward innovation from engineering students and researchers across the globe.The current advancement in multi-material additive manufacturing technologies has provided unique opportunities to create 3D printed structures with not only complex geometries at several length scales but arbitrary deposition of multiple materials (i.e., soft or hard) in 3D space.&nbsp;The interplay between geometry and material can offer designers unbounded freedom to push the limits of traditional materials and introduce a new class of engineered material with unprecedented properties and functionalities.&nbsp;Finding an optimal combination of geometry and material deposition to achieve target properties is, however, not straightforward and requires efficient methods that evaluate all possible designs within the domains of interest in a reasonable time.&nbsp;Artificial neural networks are powerful tools that may help designers bypass such &ldquo;try-and-error&rdquo; approaches and speed up the process of extracting corresponding (micro-)architectures and material distributions for any desired target properties.Our aim&nbsp;is to propose new design approaches and (bio)fabrication techniques for creating (bio)materials with tailor-made properties. We use two frontier technologies namely multi-material 3D printing and AI to create various types of &ldquo;digital materials&rdquo; with rare properties (see the news covering our work in [1]).<h2 dir="ltr">How does the design platform work?</h2>One of our design bases is rooted in the concept of the mechanical metamaterials.&nbsp;These engineered materials own their mechanical properties from their microstructures rather than their chemical compositions. For instance, most of the existing metamaterials are composed of periodic unit cells, which results in spatially uniform properties and symmetric deformations under loading. The overall performance of such materials is, however, very sensitive to defects. Therefore, we introduced randomness in the design of mechanical metamaterials to create aperiodic microstructures resulting in a haphazard distribution of material properties (i.e., elastic stiffness and Poisson&rsquo;s ratio) within the structure [2].Our disordered microarchitectures and their multi-material variational distribution across space within a lattice can provide remarkable and unique anisotropic elastic properties and even extremely rare event material properties (e.g., a combination of double-auxeticity and high elastic moduli) [3]. However, evaluating the entire mechanical design space is necessary to find these rare event designs, which can be more challenging than finding a needle in a haystack. In this &ldquo;curse of dimensionality&rdquo;, the number of designs that need to be evaluated is so large that high-speed models and highly parallelizable algorithms are required. Computational models, such as finite element models, are also not fast enough for this purpose. To boldly tackle this challenge, we utilized artificial intelligence (AI) techniques to accelerate the evaluation process of the mechanical properties of such structures (Figure 1). After training a series of deep neural networks, we rapidly predicted the mechanical properties of random mechanical metamaterials (Figure 1). Thanks to the resulting ultra-fast deep learning model, we found mechanical metamaterials that feature remarkably unusual mechanical properties [2].<img alt="Diagram 
Description automatically generated" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODgxNjY5LTE2NTg1NTc4ODE2NjkucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii" style="width: 758px;">Figure 1. The use of deep learning models for training and predicting the mechanical properties of multi-material mechanical metamaterials with rare elastic properties [2].On top of that, we took the advantage of the &lsquo;digital materials&rsquo; concept, in which micro-scale discretization of materials can be generalized to macro-scale materials with an incredibly large array of properties. Combining such an infinite array of possibilities with AI techniques has allowed us to generate the most optimal materials with tailor-made properties.In our designs, we benefit from the design motifs that exist in nature (e.g., multi-scale hierarchy and functional gradient [4]). The combination of the hard-soft material components at multiple length scales, and AI neural networks has enabled us to reduce the dimensionality of the problem by using coarse-graining approaches [5] (Figure 2). Such implementation decreased the computing time of our computational models by several order of magnitudes without affecting the accuracy of the predicted mechanical properties of our materials [5].<img alt="A picture containing text Description automatically generated" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODc5MzExLTE2NTg1NTc4NzkzMTEucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">Figure 2. Our coarse-graining approach [5] can predict the effective mechanical properties of any structure composed of soft and hard elements. This example exhibits how tensile (left) and fracture (right) properties of a structure can remain unchanged after implementing the coarse-graining approach. The specimen is obtained from a binarization of a part of a famous painting, Girl with a pearl earring (Johannes Vermeer, Delft, c 1665).<h2 dir="ltr">Applications</h2>We envision several biomedical applications including design and fabrication of orthopaedic (metallic) implants and their connections to the soft tissues (i.e., tendon or muscle), developing in vitro models to investigate cell mechanics and their interactions with 3D printed implants, and smart exoskeletal and wearable medical devices with adaptive shape morphing capabilities. We hope our proposed design strategies can impact the public health sector and improve the life quality of individuals and their societal well-being.<img alt="A group of people posing for a photo Description automatically generated with low confidence" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODc5MTI5LTE2NTg1NTc4NzkxMjkucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">Figure 3. Members of Biomaterials and Tissue Biomechanics sectionWe are researchers (PhD candidates: Helda Pahlavani, Mauricio C. Saldivar, PI: Dr. Mohammad J. Mirzaali) at Bio-Tie (BIOmimetic Tissue InterfacEs) lab. We are members of the &ldquo;Biomaterials and Tissue Biomechanics&rdquo; section led by Prof. Amir Zadpoor, at the Department of Biomechanical Engineering, Delft University of Technology. Our multidisciplinary research meets at the crossroads of mechanical engineering, material science, biomedical engineering, and biomechanics.<h2 dir="ltr">References</h2>[1]<a href="https://3dprintingindustry.com/news/ai-in-3d-printing-accelerating-new-material-discovery-and-qualification-207924/" target="_blank">https://3dprintingindustry.com/news/ai-in-3d-printing-accelerating-new-material-discovery-and-qualification-207924/</a>[2] Pahlavani, Helda, Mohammad Amani, M. Cruz Sald&iacute;var, Jie Zhou, Mohammad J. Mirzaali, and Amir A. Zadpoor. 2022. Deep learning for the rare-event rational design of 3D printed multi-material mechanical metamaterials. Communication materials, in press.[3] Mirzaali, M.J., Pahlavani, H. and Zadpoor, A.A., 2019. Auxeticity and stiffness of random networks: Lessons for the rational design of 3D printed mechanical metamaterials. Applied Physics Letters, 115(2), p.021901.[4] Mirzaali, M.J., Cruz Sald&iacute;var, M., Herranz de la Nava, A., Gunashekar, D., Nouri-Goushki, M., Doubrovski, E.L. and Zadpoor, A.A., 2020. Multi-material 3D printing of functionally graded hierarchical soft&ndash;hard composites. Advanced Engineering Materials, 22(7), p.1901142.[5] Saldivar, M.C., Doubrovski, E.L., Mirzaali, M.J. and Zadpoor, A.A., 2022. Nonlinear Coarse-graining Models for 3D Printed Multi-material Biomimetic Composites.&nbsp;arXiv preprint arXiv:2204.05152.<h2 dir="ltr">About the University Technology Exposure Program 2022</h2>Wevolver, in partnership with <a href="https://mouser.com/" target="_blank">Mouser Electronics</a> and <a href="https://www.ansys.com/academic" target="_blank">Ansys</a>, is excited to announce the launch of the University Technology Exposure Program 2022. The program aims to recognize and reward innovation from engineering students and researchers across the globe. Learn more about the program <a href="http://www.wevolver.com/student-program" target="_blank">here</a>.<img alt="mouser-ansys" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjU4NTU3ODc4MTQ2LTE2NTg1NTc4NzgxNDYucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">

The current advancement in multi-material additive manufacturing technologies has provided unique opportunities to create 3D printed structures with not only complex geometries at several length scales, but arbitrary deposition of multiple materials (i.e., soft or hard) in 3D space. 

Artificial Intelligence Assisted Architected Materials in Additive Manufacturing

This student article explains Precise Political Event Detection using Spatio-Temporal Analysis (PPED-STA) Schemes proposed by political event mapping through the extraction of data from the archives of web news.

Spatio-Temporal Analysis of Archived Web News for Precise Political Event Detection and Impact Analysis in India's Southern States

Content Creation

university program