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Tweaking Alloy Microchemistry For Flawless Metal 3D Printing

Researchers at Texas A&M have fine-tuned the process for creating defect-free metal parts using a laser bed powder fusion 3D printing technique.

To Colonize Different Environments, Bacteria Precisely Tune Their Nanomotors

Texas A&M researchers have described the mechanisms that enable bacteria to adapt to varying viscosities in their environment.

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Texas A&M Researchers Use Simulations To Optimize Design Of Medical Oxygen Concentrators

The study could be the first step toward creating portable systems for home use that can change oxygen supply depending on a patient’s needs.

Analysis Can Predict Individual Differences In Cardiovascular Responses To Altered Gravity

Texas A&M researchers have identified factors that can predict a person's physiological responses to gravitational changes.

Big Data-Derived Tool Facilitates Closer Monitoring Of Recovery From Natural Disasters

Texas A&M researchers have mined location-based data to essential establishments during Hurricane Harvey to develop a framework for monitoring communities’ resilience.

Quieter Airplane Landings May Be Possible With Shape-Memory Alloys

Texas A&M researchers have shown that shape-memory metal fillers inserted into the front edge of airplane wings can reduce noise generated during landing.

Pacemaker-Like Devices Could Restore Lost Oral Function

Texas A&M research lays the groundwork toward building electrical stimulation implants.

Machine Learning Can Reduce Worry About Nanoparticles In Food

Researchers at Texas A&M can predict whether metallic nanoparticles in soil are likely to be absorbed by plants, which could cause toxicity.

Technology To Manage Mental Health At Your Fingertips

A smart device-based electronic platform designed by Texas A&M researchers can help patients monitor their mental health between visits to their health care provider.

Unexpected ‘Black Swan’ Defect Discovered In Soft Matter For First Time

Using an advanced microscopy technique, Texas A&M researchers have uncovered a twin boundary defect in a soft polymer that has never been observed before.

Following Nature’s Cue, Researchers Build Sustainable Industrial Networks

New resesarch shows that eco-industrial parks inspired by the architecture of food webs are economically beneficial, resilient and environmentally friendly.

Body Mass Index, Age Can Affect Your Risk For Neck Pain

In a new study, Texas A&M researchers show that both personal factors and the time of day play a role in neck strength and endurance.

New Computational Tool Could Help Design Futuristic Jet Engine Turbines

The algorithm, designed at Texas A&M, can quickly predict the behavior of novel materials at blistering temperatures.

An Organic Material For The Next Generation Of HVAC Technologies

Texas A&M researchers have enhanced the dehumidification efficiency of a polymer that could help develop more energy-efficient systems with a smaller carbon footprint.

Dow-Like Index For Energy Prices Might Help Smooth Transition To Clean Power

A metric designed by researchers at Texas A&M can calculate and forecast the average price of energy in the United States.

Positive Reinforcements Help Algorithm Forecast Underground Natural Reserves

Texas A&M researchers designed a new reinforcement-based system that automates the prediction of subsurface environments.

Texas A&M Researchers Report Fastest Purification Of Cancer Therapy Isotope

Astatine-211, a candidate for targeted alpha-particle therapy, decays in hours. Researchers have delineated a purification process that can extract it in minutes, increasing the amount of the element available for use.

Texas A&M Researchers Create Origami-Inspired Satellite Antennas

The self-folding antennas can be stored flat, and when needed, deployed into the common bowl-like shape.

Standard Water Treatment Eliminates Enveloped Viruses — Like The Coronavirus

Texas A&M researchers have shown that water treatment has the potential to remove nearly all viruses that have an "outer fortress" from drinking water.

Smart Algorithm Cleans Up Images By Searching For Clues Buried In Noise

Texas A&M researchers have developed a deep-learning algorithm that can denoise images to reveal otherwise invisible details.