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Sargent Research Interests: Designing architectures for electronic and photovoltaic applications employing carbon based materials and new organic polymers. Jian Pei Research Interests: Designing and synthesizing new backbones for organic semiconductor; Devices fabrication and testing for solar cells and transistors. Hobbies: Classical Music and food. Link Ph. Alan Hatton, Allan Myerson Undergraduate Institution: Tsinghua University, China Research Interests: Nucleation and crystal growth of organic semiconductors; in-situ X-ray scattering; self-assembly at interfaces Hobbies: classical music, martial arts, traveling Dr.

Jianguo Mei Years in Group: , Dept of Chemistry. So, we focused on improving object detection with image deblurring. While the method based course, with the students divided monitors. The group set up a network of was developed to optimize chemical into small groups. Every week, the groups 50 sensors dispersed throughout the city processes, it also has applications in other met with Kara to discuss their progress, to measure particles, specifically PM 2.

The group gathered a ChemE Professor John Kitchin uses and changing what engineers and scientists large dataset consisting of data from their machine learning to generate models for can do. Courses like this one allow students sensors, land use data, and meteorological molecular simulation. The develops new algorithms for users in understand the principles of machine algorithms then had outputs of predicted shared resource settings, such as taxi learning, you can apply them to a wide range concentrations in a given area.

EDU Infrastructure is in need of a makeover—we see it as 1 To begin, Liu must set up the geometry bridges, roadways, water systems, and railways crack for the bogie. In this and crumble. At Carnegie Mellon University, the work of case, the simulation researchers across many disciplines intersects to create is of a half-bogie technologies that will improve and extend the life of one wheel set as transportation infrastructure. Researchers in the Department of Civil and Environmental Engineering CEE are leaders in indirect structural health monitoring, a low-cost and lowmaintenance monitoring approach where moving vehicles use sensors to indirectly sense railways, roads, and bridges while traveling their normal routes.

Young Noh, a professor in CEE. Modeling Railways Track geometry is the measurement of a track system in three dimensions. Currently, the researchers use a track geometry car that runs once or twice a year to collect data.

Ideally, the car should run constantly, but that would be too expensive. The predictive model provides a complementary way to continuously monitor infrastructure systems. Using previously recorded data, the model predicts railway health by allowing researchers to test physical aspects of the 4 Then he divides the model into separate bogie-track system.

While they cannot change the finite elements in parameters on the actual physical track, they can a process called change parameters on the model. Testing the effects of meshing. EDU 14 To simulate how the bogie-track system operates, 5 In the next step, loading, he applies researchers conduct finite element analysis. This helps forces equivalent them understand how the system behaves physically to the weight of under different loads and situations.

Once the finite carrying a train. According to Noh, the ANSYS software provides insight on how vehicles behave on the track, it helps the team develop algorithms from their collected data and simulations, and then it helps them validate their results. This stage of the process is where he gathers data on how the system moves. This autonomously self-healing material is a breakthrough for soft-matter electronics.

Think of a first responder robot that can rescue humans during an emergency without sustaining damage, a health-monitoring device on an athlete during rigorous training, or an inflatable structure that can withstand environmental extremes on Mars. Majidi, who directs the Integrated Soft Machines Laboratory, is a pioneer in developing new classes of materials in the fields of soft matter engineering and soft robotics.

Majidi holds a courtesy appointment in the Robotics Institute. Many natural organisms have the ability to repair themselves. Other authors include Eric Markvicka and Xiaonan Huang of Now, manufactured machines will be able to mimic this property. Carnegie Mellon University, and Michael D. Mellon University have created a self-healing material that spontaneously repairs itself under extreme mechanical damage. This soft-matter composite material is composed of liquid metal droplets suspended in a soft elastomer.

When damaged, the droplets rupture to form new connections with neighboring droplets and reroute electrical signals without interruption. Circuits produced with conductive traces of this material remain fully and continuously operational when severed, punctured, or if material is removed. Because the material also exhibits high electrical conductivity that does not change when stretched, it is ideal for use in power and data transmission.

F-sand uses proteins from the Moringa oleifera plant, a tree native to India that grows in tropical and subtropical climates. The tree is cultivated for food and natural oils, and the seeds are already used for a type of rudimentary water purification. However, this traditional means of purification leaves behind high amounts of dissolved organic carbon DOC from the seeds, allowing bacteria to regrow after just 24 hours.

This leaves only a short window in which the water is drinkable. Velegol, who is now a professor of chemical engineering at Pennsylvania State According to the United Nations, 2. By extracting the seed proteins and adsorbing services. The majority live in developing nations. F-sand both kills microorganisms and reduces turbidity, adhering to Przybycien co-authored a paper with Ph. These undesirable contaminants and DOC can then be Brittany Nordmark and Toni Bechtel, and alumnus washed out, leaving the water clean for longer, and the f-sand ready for reuse.

The process, created by resolved to answer. Are the fatty acids and oils found in the seeds important to the readily available in many developing nations adsorption process? What effect would water conditions have? What concentration of to create a cheap and effective water filtration proteins is necessary to create an effective product? EDU The answers to these questions could have big implications on the future of f-sand.

Concentration Another parameter of the f-sand manufacturing process that Tilton and Przybycien tested was the concentration of seed proteins needed to create an effective product. The necessary concentration has a major impact on the amount of seeds required, which in turn has a direct effect on overall efficiency and cost effectiveness. The key to achieving the proper concentration is ensuring that there are enough positively charged proteins to overcome the negative charge of the silica particles to which they are attached, creating a net positive charge.

This positive charge is crucial to attract the negatively charged organic matter, particulates, and microbes contaminating the water. This relates to another potential improvement to drinking water treatment investigated by Tilton, Przybycien, and Nordmark in a separate publication. In this project, they used seed proteins to coagulate contaminants in the water prior to f-sand filtration. This also relies on controlling the charge of the Fractionation The seed of M. Separating oleifera is cultivated is for the fatty these proteins a process known as acids and oils found in the seeds.

Prior to their research, the authors theorized that isolating certain proteins might provide a more efficient finished product. However, through the course of testing, Tilton and Przybycien found that this was not the case.

These are extracted and sold commercially. Tilton and Przybycien wanted to know if these fatty acids had an effect on the protein adsorption process. This finding also has beneficial implications. Since the presence or absence of fatty acids in the seeds has little effect on the creation or function of f-sand, people in developing regions can sell the this step out of the process helps to cut commercially valuable oil, and still costs, lower processing requirements, be able to extract proteins from the and simplify the overall process.

Applying too much protein can over-charge the contaminants and inhibit coagulation. In areas where exact measurements may be difficult to make, this is crucial. Although labs often use deionized water, in a process meant to be applied across a range of real world environments, researchers have to prepare for both soft and hard water conditions. Tilton and Przybycien found that proteins were able to adsorb well to the silica particles and to coagulate suspended contaminants in both soft and hard water conditions.

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Using bettinger-group To post a message to all the list members, send email to bettinger-group lists. You can subscribe to the list, or change your existing subscription, in the sections below. Subscribing to bettinger-group Subscribe to bettinger-group by filling out the form below You will be sent email requesting confirmation, to prevent others from gratuitously subscribing you.

This is a private list, which means that the list of members is not available to non-members. Your email address: Your name optional : You may enter a privacy password below. This provides only mild security, but should prevent others from messing with your subscription. Brain-machine interfaces provide one way to connect with this puzzling organ system, including the brain. However, Carnegie Mellon University Associate Professor of Materials Science and Engineering and Biomedical Engineering Chris Bettinger and his group have created a hydrogel material and fabrication process for electrodes that stick to the brain, matching its soft, squishy makeup.

But over time, the body interprets this material as an injury and a foreign body that needs to be attacked, degraded, isolated, and removed. Inflammatory cells then surround the probe, disrupting the signal strength of the neurons in that area. We're trying to improve the temporal bandwidth of these probes, by preserving the longevity of the material.

The rigidity of these electronics has evolved from being stiff like wood, to thin and flexible like paper, to stretchy and pliable like rubber bands. The challenge is that the processes used to make sophisticated electronics require high temperatures C or higher , a vacuum, and exotic solvents, buffers, acids, and bases to etch materials and patterns. None of these are compatible with soft hydrogel materials.

To combat these fundamental issues, Bettinger and his team created a new way to fabricate the electronics—decoupling the fabrication processes of the electronic part and the soft substrate it's embedded in. First, they construct the electronic part on a substrate that is compatible with high temperatures, extreme solvents, and a vacuum, and create the hydrogel substrate separately. Then, they remove the electronic piece from its original substrate and adhere it to the hydrogel substrate.

The final device contains a thin layer of electronics on a soft, flexible, and sticky substrate that has mechanical properties similar to those of the nervous system. Another challenge was creating a material that was still adhesive in fluid.

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