Researchers have created a dynamic model that accurately recreates hemodynamic loads on engineered heart muscle tissues, providing unprecedented insights into how genetics and mechanical forces contribute to heart muscle function. This breakthrough model allows for the study of various heart diseases with genetic mutations, development...
A team of scientists has observed direct atomic evidence of the anionic redox mechanism in lithium-rich cathodes, which could lead to breakthroughs in battery technology. The discovery provides conclusive evidence for this mechanism, nearly doubling the energy storage capacity compared to conventional cathodes.
Researchers at Carnegie Mellon University have developed a new noninvasive therapy using low-intensity focused ultrasound that can target specific cell types in the brain. The technology has shown promise in treating conditions such as Parkinson's Disease, epilepsy and insomnia.
Researchers have discovered that fast brainwave oscillations can pinpoint brain tissues responsible for epileptic seizures. The collaborative research leverages noninvasive EEG technology to automatically identify high-frequency oscillations and epileptiform spikes, which are key links related to epilepsy.
A team of Carnegie Mellon University researchers has developed a novel microelectrode platform using 3D fuzzy graphene to enable richer intracellular recordings of cardiac action potentials. This advancement could revolutionize research on neurodegenerative and cardiac diseases, as well as the development of new therapeutic strategies.
New research from Carnegie Mellon University and the University of Pittsburgh examines how changes in internal states like engagement affect learning. The study found that fluctuations in neural activity are influenced by shifts in internal states, suggesting a key role for engagement in learning.
A unique Ag-hydrogel composite offers high electrical conductivity while maintaining soft compliance and deformability. The composite has applications in wearable electronics, brain sensors, and treating muscular disorders, such as Parkinson's disease.
A new study by Carnegie Mellon University researchers argues that extreme climate forecasts can be counterproductive, leading to public distrust in climate science. The study analyzed 79 climate-caused apocalypse predictions and found that many have expired without consequence, undermining the credibility of such forecasts.
Researchers at Carnegie Mellon University have developed a nanomaterial-based biosensing platform that detects COVID-19 antibodies within seconds. The platform, which uses aerosol jet nanoprinted electrodes, can quantify patient immunological response to new vaccines with precision and has a very low error rate.
Researchers discovered that tiny bubbles or pores form during the printing process due to fluctuations in the keyhole's depth. By controlling the machines' speed and power, companies can avoid this problem and improve printing processes.
A team of researchers has created the first full-size 3D bioprinted human heart model using their FRESH technique, mimicking the elasticity of cardiac tissue. The model can be manipulated like real tissue, enabling surgeons to practice and improve their skills before actual surgery.
Researchers found that meditation training significantly improved brain-computer interface (BCI) control and proficiency in just eight lessons. Brain activity patterns correlated directly with success, with meditation-trained individuals showing enhanced alpha rhythm modulation.
A study by Matthew Smith and colleagues found that changes in brain activity are linked to shifts in internal states, impacting decision-making. The researchers' discovery could inform understanding of mental conditions like ADHD and improve BCI design.
CMU's College of Engineering and ARL to lead additive manufacturing research guided by machine learning, addressing scaling up methods and improving equipment ease of use. The program aims to increase mission readiness and resiliency across military platforms and equipment.
A method for self-assembling nanostructures with gamma-modified peptide nucleic acid (γPNA) has been developed by Carnegie Mellon University researchers. The process enables the formation of complex, all-PNA nanostructures in organic solvent solutions, holding promise for nanofabrication and nanosensing.
Researchers at Carnegie Mellon University develop a novel material called NT-3DFG, which enables remote optical stimulation of neurons without genetic modification or cellular stress. This breakthrough has significant implications for understanding cell interactions and developing new therapies that harness the human body's own cells.
A team of researchers at Carnegie Mellon University is working on developing nanoscale mechanical switches to address the limitations of solid state switches. These switches have the potential to improve energy efficiency and complement existing solid-state technology in various applications.
Researchers at Carnegie Mellon University have developed a novel source imaging technology using high-density EEG to map underlying brain networks. This breakthrough can accurately estimate the size and scope of active areas within the brain, as well as interactions between functionally related regions.
Researchers at Carnegie Mellon University have developed a machine learning algorithm that accounts for neural recording instabilities, allowing users to continue controlling brain-computer interfaces despite signal variations. The approach stabilizes neural activity, maintaining good BCI performance in the presence of recording instab...
Researchers at Carnegie Mellon University developed a mathematical theory that takes into account evolutionary changes in pathogens or information. This theory was tested against thousands of computer-simulated epidemics and found to be more accurate than traditional models.
A new study from Carnegie Mellon University sheds light on an under-appreciated source of organic aerosol (SOA) in urban areas, showing that volatile organic compounds (VOCs) contribute significantly to SOA formation. The research reveals that non-traditional VOCs, such as those found in everyday household products, are a major contrib...
A survey of homes in rural India reveals that men dominate electricity use patterns, suggesting that households with electrified access may benefit more from male members. Despite efforts to improve female well-being through clean energy, women reported that only a quarter experienced increased time for personal activities.
The US and China need to deploy carbon capture and storage (CCS) technology to reduce committed emissions, which threaten the 1.5°C climate target. CCS retrofits are essential for deep decarbonization in both countries, but current high costs require government policies to incentivize deployment.
Researchers created a polymer thermal regulator that can switch between conducting and insulating states, allowing for precise control of heat flow. This breakthrough enables potential applications in fields such as refrigeration, computing, and waste heat scavenging.
The US electric power sector saw a decrease in carbon intensity, with total power generation falling by 4% and CO2 emissions per megawatt-hour dropping by 9% in Q2 2019. Coal generation declined by 19% compared to the previous year, while renewable sources such as solar and wind increased their share of power generation.
Researchers developed an AI framework that learns human design strategies through observation, enabling it to generate new designs without explicit goal information or bias. The AI performed better than humans on average, but its success came without the advantages humans have, such as specific goals and feedback.
Researchers found that current forecasts indicate the US electric power sector will meet 2020 and 2025 CO2 reduction requirements under the Paris Agreement. Despite no national policy aimed at reducing CO2 emissions, the US is ahead of schedule to meet short-term and mid-term goals.
The INI and EWF partnership provides full-tuition fellowships to support women in cybersecurity, aiming to close the gender gap in the field. The program offers students access to industry connections, mentorship, and networking opportunities.
The new material combines liquid metal and shape-morphing rubber, exhibiting adaptability and responsiveness to environmental changes. It also shows resilience and can detect damage, making it suitable for various applications in healthcare, wearables, and robots.
A study published in Annals of Neurology found that the spread of seizures through the brain can be suppressed by a
Researchers at Carnegie Mellon University have received a $1.95 million grant to create customizable, ultra-high density neural probes using 3D nanoparticle printing. This new technology will increase accessibility to brain tissue and enable prototype new electrode configurations on-demand.
The researchers developed a 3D organ-on-chip platform using bioelectrical sensors to measure the electrophysiology of heart cells in three dimensions. This platform enables studying cell communication in multicellular systems, potentially screening drugs on human-like tissue.
A team of researchers from Carnegie Mellon University has developed a new technique to 3D bioprint tissue scaffolds out of collagen, allowing them to overcome challenges associated with existing methods and achieve unprecedented resolution and fidelity. The technique, known as Freeform Reversible Embedding of Suspended Hydrogels (FRESH...
Researchers at Carnegie Mellon University have successfully developed a noninvasive brain-computer interface (BCI) that enables continuous control of a robotic arm using only thoughts. This breakthrough technology has the potential to revolutionize the lives of paralyzed patients and those with movement disorders.
Researchers at Carnegie Mellon University aim to create a noninvasive neural interface that can sense and stimulate the brain's dynamic activity with unprecedented resolution. The team will harness novel concepts in physics, biology, and engineering using electricity, ultrasound, and light to develop a wearable device.
New research from Carnegie Mellon University and Argonne National Laboratory has identified how and when gas pockets form in 3D printing, leading to cracks and failures. The study developed a methodology to predict gas pocket formation, which could improve the consistency of finished products.
Kathryn Whitehead's project uses genetic engineering to isolate and modify human cells in breast milk for infant disease therapy. The goal is to develop non-invasive treatments for babies with diseases, such as spina bifida or enterocolitis.
Researchers at Carnegie Mellon University have developed a new 3D printing method that creates porous microlattice structures in battery electrodes, resulting in fourfold increase in specific capacity and twofold increase in areal capacity. The technology has potential applications in consumer electronics, medical devices, aerospace, a...
The US nuclear power sector is expected to vanish in the next few decades due to the aging of large light water reactors and competition from low-cost natural gas. Advanced reactor designs and small modular reactors may not play a significant role in US energy markets either.
A new process using sand and plant materials from the Moringa oleifera tree could provide cheap and effective water filtration, eliminating bacteria and reducing turbidity. The key to its effectiveness lies in controlling the concentration of seed proteins, which can be reused after cleaning.
Researchers at Carnegie Mellon University have developed an optimization algorithm that combines expert judgment with automation in 3D printing, enabling high-fidelity prints of soft materials. The Expert-Guided Optimization (EGO) method significantly reduces the time and energy required to find optimal print combinations.
Researchers at Carnegie Mellon University have created a self-healing material that spontaneously repairs itself under extreme mechanical damage. The material, composed of liquid metal droplets suspended in a soft elastomer, can reroute electrical signals without interruption.
The Carnegie Mellon Power Sector Carbon Index reports a 26.8% decline in emissions intensity from 2005 levels, with natural gas and renewables displacing coal as primary energy sources. The index also provides regional insights and international expansion, offering objective data for policy makers and regulators
A low-cost, open-source 3D bioprinter has been developed by Carnegie Mellon University researchers, allowing users to print large-scale artificial human tissue with high resolution. The bioprinter, which costs under $500, is a significant cost reduction compared to existing commercial machines.
A new study published in Environmental Science & Technology found that fuel economy standards are not as difficult to meet as previously believed, with potential benefits including lower costs for consumers and automakers. The research also suggests that slightly slower acceleration times can significantly reduce overall emissions.
A new password meter developed by Carnegie Mellon University researchers provides real-time feedback and advice to users, helping them create more secure passwords. The meter uses an artificial neural network to analyze patterns in existing passwords and offers personalized suggestions for improvement.
Researchers discovered that motor cortical neurons adapt to optimize movement encoding, enabling more precise neural prosthetics. The findings have potential applications in improving brain-machine interface performance and reliability.
The Carnegie Mellon Power Sector Carbon Index will provide a snapshot of critical data regarding energy production and environmental performance. The index will track U.S. power producers' carbon dioxide emissions and compare them to historical data, providing insights into progress made by the power sector in reducing emissions.
Carnegie Mellon researchers develop 'thubber,' a stretchable, thermal conductive material with metal-like properties. The material enables rapid heat dissipation in applications like wearable computing and soft robotics.
James H. Garrett Jr., dean of the College of Engineering, was elected for contributions to computing and civil engineering. Vijayakumar Bhagavatula, a professor in Electrical and Computer Engineering, was elected for research contributions to pattern recognition. This marks the 143rd year of AAAS Fellows selection.