Researchers at Lehigh University are using advanced algorithms and cross-domain data to help cities predict human movement patterns, enabling better planning and preparedness for events and emergencies. The model will account for variations in data streams from different sources, such as cell towers, GPS, and financial transactions.
Researchers developed a new AI model, BiomedGPT, to support various biomedical tasks. The model achieved 16 state-of-the-art results in 9 biomedical tasks and demonstrated robust predictive abilities.
The Atlantic Marine Energy Center (AMEC) will develop new research projects, infrastructure, and educational programs using the funding. Lehigh University will lead two research projects focused on tidal turbine blades and real-time stable marine energy microgrid power management.
Brian Leard, a PhD student at Lehigh University, has been awarded a prestigious DOE grant to conduct research at the DIII-D National Fusion Facility. He aims to develop simulation codes that can optimize actuator operation and improve the accuracy of plasma physics predictions.
Fadi Abdeljawad's team finds that triple junctions, where three nanocrystals meet, are key to maintaining stability and strength of materials. This discovery could lead to designing better nanocrystalline alloys for aerospace and energy industries.
A study from Lehigh University and Seattle University found that making patients aware of biases in human healthcare decisions increases receptiveness to AI recommendations. By highlighting the limitations of human judgment, healthcare providers can create a more balanced relationship between patients and emerging technologies.
A new process developed by Lehigh University researchers uses evaporative ion exchange (EIX) to concentrate hypersaline brine at room temperature, avoiding scaling and fouling. The process has shown promising results in concentrating salts from hypersaline water, with the potential for widespread use.
Researchers at Lehigh University are developing predictive models for gene editing with CRISPR to improve outcomes and expand medical applications. The team is using AI and advanced computer models to simulate the effects of altering a single gene on the entire genome, enabling them to predict and avoid unintended consequences.
Researchers at Lehigh University have pioneered a method to create customizable ceramics using solid-state synthesis, enabling advances in electronics and energy conversion. The team aims to produce functional materials with tailored geometries that can be used in thermoelectric devices and other applications.
A new USDA-funded research grant supports the development of sustainable, biodegradable mulch films that can provide nutrients to crops while reducing plastic pollution. The project aims to create durable and effective films that can be used for years without harming the environment.
The new ERC EARTH research center will focus on developing sustainable refrigerant technologies and practices to improve quality of life and combat climate change. Lehigh University's team, led by David Vicic, will work on reclamation and repurposing of high-GWP legacy refrigerants.
Scientists at Lehigh University are using mayonnaise to study Rayleigh-Taylor instability and its transition to a plastic regime. The researchers aim to better understand the physics of nuclear fusion through this unconventional approach.
Researchers at Lehigh University use mayonnaise to simulate the phases of Rayleigh-Taylor instability in nuclear fusion, which could inform the design of future inertial confinement fusion processes. The team found that understanding the transition between elastic and stable plastic phases is critical for controlling the instability.
A team of Lehigh University researchers led by Professor Muhannad Suleiman is working to develop floating offshore wind platforms that can harness both wind and wave energy. The goal is to create more efficient and resilient structures that can withstand extreme weather conditions.
Lehigh University researchers developed a novel spectroscopy technique called modulation excitation spectroscopy (MES) to study selective catalytic reduction (SCR) of nitrogen oxides. The results, published in Nature Communications, reveal the correct reaction pathway and have significant implications for optimizing catalytic converters.
Researchers found that colder temperature exposure increases oxidative stress in the nasal cavity, leading to worsened asthma symptoms in children. The study used nasal fluid samples and measured malondialdehyde (MDA) levels as a biomarker of oxidative stress.
New research from Lehigh University and other institutions found that consumers are willing to pay up to 10% more for goods and services produced with high production enjoyment. Sellers can capitalize on this cue by pricing their products at a slight premium, according to associate professor Danny Zane.
Scientists aim to create a spray-on bandage that breaks down within 48 hours, providing time for proper treatment. The project uses enzymes to degrade polymer complexes, which will allow for controlled degradation and potential applications in drug delivery.
The team aims to create a system that can deliver items without human contact, using cables, knots, and multiple robots. They will focus on scaling up the transport of small objects like a basketball and solar panel.
Researchers aim to create polymers that can form the basis of effective sensors for applications in physiological, environmental, and Internet of Things monitoring. The goal is to increase energy efficiency and broaden material choices, enabling devices to operate at low voltage and interact with ions and transport ionic charges.
Lehigh University researcher A. Emrah Bayrak explores best practices for human-AI collaboration in complex design tasks, aiming to maximize productivity and job satisfaction. His project uses models that predict human decision-making and combines it with AI's training data analysis to determine strategies for division of labor.
Researchers from Lehigh University have developed a material that promises over 190% quantum efficiency in solar cells, exceeding the theoretical limit for silicon-based materials. The material's 'intermediate band states' enable efficient absorption of sunlight and production of charge carriers.
Researchers at Lehigh University found that reading a personal history of an opposing party member can significantly reduce animosity towards members of the opposing party. The study tested interventions with both Democrats and Republicans, finding that historicist narratives can lead to increased compassion and reduced moral emotions.
Researchers at Lehigh University found that low- to mid-level flooding events are the most vulnerable to cyber attacks, which can overwhelm the system and cause a flood downstream. The study developed a mathematical framework to identify vulnerabilities in stormwater systems, allowing municipalities to assess their risks.
A research team at Lehigh University has received a three-year, $2 million grant from the Department of Energy to develop an alternative concrete binder using low-temperature calcined clays. The goal is to produce a material with properties similar to Ordinary Portland Cement but without greenhouse gas emissions.
Researchers are developing minimally invasive techniques to repair and regenerate tissue in aortic aneurysms using actively targeted, drug-releasing nanoparticles. The team found that rod-shaped particles with high aspect ratios were selectively taken up by diseased endothelial cells, leading to improved therapy outcomes.
A study by Lehigh University researchers found an increase in psychological distress among Latinos in the US from 2011-2018, with the deportation threat impacting both citizens and noncitizens. The research highlights the need for policy change and cultural practices of inclusion to address this issue.
Lehigh University researcher Dominic DiFranzo is developing an AI-powered platform, Social Media TestDrive, to equip youth with skills to navigate social media safely. The platform uses conversational AI tools to provide instant feedback and interactive simulations, empowering students to be 'upstanders' against cyberbullying.
The Lehigh University Plasma Control Group is working on advanced controls and machine learning to improve plasma dynamics simulation capabilities and stabilize superheated gases in future reactors. The goal is to address technological issues with ITER and FPP, ensuring safe and controllable operation.
Researchers have developed a new catalyst that exceeds 30% yield for the production of ethylene through oxidative coupling of methane, a more sustainable and economically viable method. The core-shell Li2CO3-coated mixed rare earth oxides catalyst enables sequential oxygen switching, replenishing its ability to provide oxygen for the r...
Researchers from Lehigh University have successfully mapped 15 orphaned stars to their birth clusters in the Milky Way using Gaia Mission data. The study provides new insights into the galaxy's history and star cluster dynamics.
The National Science Foundation has awarded Lehigh University $6 million to develop a comprehensive, inclusive and accessible research translation ecosystem. The award supports the university's work in engineering, science, health, humanities, business, education and other areas to translate discoveries into practical solutions.
A NSF-funded project, MABLE, is developing a digital app using crowdsensing, AI, and robotics to empower individuals with responsive maps and turn-by-turn instructions. The app aims to improve accessibility and navigation for persons with visual or mobility impairments, such as those with low vision and wheelchair users.
A new NSF-supported collaboration aims to improve liquid organic hydrogen carriers and use AI to identify novel approaches for a global renewable energy supply chain. The team is developing a new class of molecules, chemistries, and chemical processes to better store and transport green energy across the globe.
Researchers have developed an ion-exchange method that captures CO2 at room temperature, paired with an electrochemical cell to purify the gas. The technology has the potential to be powered by industrial waste heat or geothermal energy, reducing emissions and costs.
Researchers use AI to develop dynamic modeling of brain graphs, capturing dynamics in continuous time for more accurate predictions and personalized treatment of brain diseases. The project aims to track disease development in individual patients and identify biomarkers associated with brain disorders.
A team led by Lehigh University's Yahong Rosa Zheng is developing an Autonomous Observatory Node that can collect and transmit data from underwater sensors wirelessly, without the need for expensive subsea cables. The prototype aims to operate at depths of up to 1000 meters, enabling researchers to study extreme environments and detect...
Yu Yang's NSF-funded research aims to reduce vehicle emissions and promote the use of electric bikes and scooters by developing socially informed traffic signal control systems. The project involves a three-pronged method that uses low-cost mobile air-quality sensing, spatial-temporal graph diffusion learning, and reinforcement learnin...
Researchers found that interactive data visualization improves information recognition and recall, leading to attitudinal change and reduced misinformation. The study suggests that journalists play a crucial role in making data accessible and attractive through interactive tools.
A new project aims to help robots assess risks and make autonomous decisions. The research focuses on quantifying ambiguity in robot perception to improve safety and efficiency.
Lehigh University researchers have developed a technique using machine learning and advanced spectroscopy to characterize waste feedstocks for gasification-produced hydrogen. This process has the potential to eliminate hazards associated with stored coal waste and reclaim valuable resources, while also emitting fewer pollutants than tr...
Lehigh University researchers have discovered that applying magnetic forces to individual 'microroller' particles can spur collective motion, allowing the grains to flow uphill, up walls, and climb stairs. This counterintuitive phenomenon has potential applications in mixing, segregating materials, and microrobotics.
The project aims to assess the operational resilience of microgrids on DoD installations and ships, using new operational resilience indexes developed by Lehigh University researcher Javad Khazaei. The team will develop a dashboard to monitor resilience indexes in real-time, providing recommendations for improving the systems.
A Lehigh University professor has received $4 million in NIH grants to develop an AI-driven approach for precision mental health diagnosis and care. The project aims to identify biomarkers in the brain that can predict treatment response and personalize interventions for patients with depression and other mental disorders.
The Lehigh University Industrial Assessment Center will conduct energy audits for manufacturing plants in the mid-Atlantic region, providing real-world training for students and professionals. The center aims to reduce industrial emissions and improve manufacturing competitiveness while enhancing workforce development in disadvantaged ...
A study of 142 nations found a strong link between access to formal financial services and lower COVID-19 mortality rates. Access to bank accounts, credit cards, or loans from a financial institution is a key predictor of lower mortality risk, even stronger than comorbidities.
A nationwide VR research project is working to create diverse groups of participants to reflect real-world social dynamics. The Virtual Experience Research Accelerator (VERA) aims to provide researchers with access to large, reliable, and diverse groups for various VR research projects.
A new study in PLOS ONE examines how individuals coped with stressors during the COVID-19 pandemic, finding that problem-focused and emotion-focused coping strategies were associated with higher quality of life. Emotion-focused coping strategies may be most helpful when stressors are unpredictable or outside of individuals' control.
A team of scientists created a mathematical model that accurately describes microstructures by integrating data from highly magnified images taken during experiments. The findings provide insight into how microstructures change at high temperatures and have implications for the development of new materials.
A new liposome-based method aims to kill periodontitis-causing leukotoxin while protecting immune cells, providing an alternative treatment for aggressive gum infections. The approach has potential applications against a range of bacteria and could help combat antibiotic resistance.