Articles tagged with Three Dimensional Modeling
Researchers at New York University create a new method to see inside crystals, revealing the position of every unit and creating dynamic three-dimensional models. This technique allows scientists to study crystals' chemical history and form, paving the way for better crystal growth and photonic materials.
Researchers developed a predictive model that maps soil-bearing layer distribution, enabling city planners to assess site suitability and optimize building design. The model improves prediction accuracy by combining geotechnical data and geographic coordinates.
The study enhances shape-from-shading technique to create detailed models of lunar terrain with higher resolutions and faster production speeds. Researchers use advanced computer algorithms to automate the process, resulting in more accurate maps that show subtle features and variations of lunar surface terrain.
A new study suggests that the sun's magnetic field could arise from instabilities in the outermost layers of the sun, rather than deep within. This finding may enable scientists to better forecast solar activity and space weather.
Researchers at the University of Bonn improved 3D ocean circulation models using supercomputing resources to analyze ocean tide changes and their impact on coastal regions. The study found that a warming ocean surface enhances baroclinic tides, leading to significant energy transfer.
Scientists have developed a functional model of thoracic aortic aneurysm using human cells in laboratory rats, offering new avenues for drug development and effective screening. The model successfully mimics dilation of the human aorta and has potential applications for treating this potentially fatal condition.
Researchers used supercomputer simulations and machine learning to map diamond's phonon stability boundary in six dimensional strain space. This framework guides the engineering of materials through elastic strain engineering, enabling the development of new devices such as computer chips and quantum sensors.
Researchers developed Tripath to analyze 3D tissue samples, predicting clinical outcomes based on 3D morphological features. This approach outperformed traditional methods, providing promising potential for guiding critical treatment decisions.
Researchers developed a novel 3D printing technology that can print multi-material tubular structures as thin as 50 micrometers. The technology, called Polar-coordinate Line-projection Light-curing Production (PLLP), uses a rotating mandrel and patterned light illumination to create complex structures.
The study, published in Cell Stem Cell, improves the growth of nephron progenitor cells (NPCs) using a chemical cocktail, enabling sustained growth in a simple 2-dimensional format. The breakthrough has potential for advancing kidney research and discovering new treatments.
Researchers at Insilico Medicine developed COSMIC, a new framework for molecular conformation space modeling that provides accurate insights into molecule positioning and activity. This enables faster and more efficient drug design decisions.
Using AI software called SLEAP, scientists at Salk Institute are designing climate-saving plants with optimized root systems that can store more carbon. This approach enables researchers to analyze plant features and connect desirable traits to targetable genes, accelerating the development of carbon-capturing plants.
A new paper argues that Venus, with its surface temperatures hot enough to melt lead and a toxic atmosphere, can provide valuable lessons about the potential for life on other planets. The study highlights the importance of understanding the conditions that make Earth habitable, as well as the risks of runaway greenhouse effects.
A new study models the impact of high thermal conductivity paper on power transformer performance and life. The research aims to improve transformer efficiency by reducing hotspot temperatures, potentially doubling or tripling lifespan. Researchers used Stampede2 supercomputer simulations to test the effectiveness of engineered paper.
A multidisciplinary team is developing computational models to predict heart valve leakage in children with specific birth defects. The models use 2D and 3D echocardiogram data to simulate the shape of valves and potential weak spots, enabling surgeons to plan surgeries more effectively.
A University of Melbourne expedition revealed that wind is a key cause of colossal rogue waves. The team's observations confirmed theories and provided critical information for future rogue wave prediction models.
Jos Malda receives ERC grant to crack cartilage code and create regenerative treatments. By studying cartilage 'organ-on-a-chip' models and animal cartilages, researchers aim to recreate the intricate internal structure of cartilage.
A new 3D printer developed by researchers at MIT and NIST can automatically identify the parameters for printing with unknown materials. This allows for the use of renewable or recyclable materials that were previously difficult to characterize, reducing the environmental impact of additive manufacturing.
Researchers develop a computational approach to predict mutations leading to better proteins, with potential applications in neuroscience research and gene therapy. The technique uses a convolutional neural network to create a fitness landscape, enabling faster optimization of proteins.
Researchers develop AI-powered method to rapidly predict multiple protein configurations, understanding protein dynamics and functions. This breakthrough has the potential to revolutionize drug discovery by uncovering more targets for new treatments.
Researchers at University of Missouri are developing software that allows drones to fly independently, perceiving and interacting with their environment while achieving specific goals. This technology has the potential to assist in mapping and monitoring applications, such as 3D or 4D advanced imagery for disaster response.
Researchers at MIT have developed a method to analyze the behavior of granular materials, revealing their internal forces and shapes in 3D detail. This breakthrough may lead to better understanding of landslides and industrial processes.
A team of researchers has developed the world's first 3D-printed brain phantom, which can be imaged using dMRI. The brain model is made up of microchannels that mimic nerve cells in the brain, allowing for more accurate analysis and research into neurodegenerative diseases.
A team of researchers from Kyoto University has developed a microfluidic co-culture vasculature chip that mimics the microenvironment of alveolar soft part sarcoma (ASPS), a rare cancer. The chip enables scientists to study cell-to-cell interactions and angiogenic mechanisms, which may lead to new strategies for treating ASPS patients.
The study integrates Computational Intelligence (CI) into 3D plant canopy modeling to capture detailed morphological data. It demonstrates the method's ability to simulate effects of planting density on canopy structure, including shading and adjustments in leaf angles.
Researchers have developed a vascularized organoid model (VOM) that accurately replicates the actual vasculature and environment of gastric cancer, enabling patient-specific predictions of response to anticancer drugs. The VOM demonstrates high cell viability rates and similarity to actual gastric cancer conditions.
A new AI-powered tool developed by the University of Copenhagen and 3Shape predicts how teeth will move, allowing orthodontists to ensure braces are neither too loose nor too tight. The tool uses scanned imagery of teeth and bone structures to simulate how braces should fit, reducing trial and error.
Researchers developed a custom-built, low-cost mesoscope that can adapt to different neuroimaging experiments in live mice and rats. The system offers excellent spatial and temporal resolutions, achieved through its reversible tandem lens configuration, which enables flexible experimentation.
Researchers developed a machine-learning model to assess prostate cancer biopsy samples, overcoming limitations of traditional methods. The new model, nnU-Net, provides accurate 3D segmentation of glandular tissue structures, leading to better prognostic analyses and potential improvements in patient outcomes.
This study introduces a computational model that uncovers the genetic architecture of tree growth in Populus euphratica, focusing on above- and below-ground traits. The model successfully delineates genetic contributions and network topology driving phenotypic formation, highlighting distinct time-varying growth characteristics.
Researchers at Salk Institute have created a novel organoid model of the human brain that includes mature, functional astrocytes. This allows for the study of inflammation and stress in aging and diseases like Alzheimer's with greater clarity, revealing a relationship between astrocyte dysfunction and inflammation.
Astronomers have discovered a massive, wave-shaped structure in the Milky Way, which is oscillating through space-time. The Radcliffe Wave is approximately 9,000 light years long and moves like a traveling wave, with star clusters along its path moving up and down.
Researchers have confirmed a new method for precise body composition analysis using 3D surface scans and dual-energy X-ray absorptiometry. This approach yields accurate measurements of fat, lean muscle, and bone, surpassing commercial software in clinical settings.
A new study using computational models suggests that a subduction zone below the Gibraltar Strait will migrate into the Atlantic, contributing to an Atlantic ring of fire. This process, called subduction invasion, is expected to happen in approximately 20 million years.
A new model developed by MIT engineers predicts how certain shoe properties will affect a runner's performance, incorporating factors like stiffness and springiness. The model aims to help designers create high-performing shoes with novel properties.
A new 3D bioprinted liver tissue model has been developed to study nonalcoholic steatohepatitis (NASH), a serious complication of nonalcoholic fatty liver disease (NAFLD). The model, created using liver cells from healthy or NASH-diseased donors, displays all characteristics of the disease, including fibrosis.
Researchers from Purdue University used deep learning to generate growth models for various tree species, both with and without leaves. The AI models can produce complex tree models with detailed geometry, improving digital forest endeavors.
UAB researchers have created a 3D, three-layer nanomatrix vascular sheet that mimics human atherosclerosis, enabling high-throughput drug screening. The model replicates key features of the disease and has been validated with two classic atherosclerosis drugs.
The review discusses the optical aspects of QPAT, including mathematical models for light propagation and interaction with biological tissues. The authors outline two approaches to estimating chromophore concentrations from absorbed optical energy density data, highlighting the challenges associated with practical implementation, such ...
A team of astronomers created the first-ever 3D map of magnetic field structures within a spiral arm of the Milky Way galaxy, showing that magnetic fields break away from the general picture and impact star-forming regions. The findings suggest that magnetic fields played a role in creating our own solar system.
A new study reveals that microplastic fibers settle substantially slower than spherical particles in the atmosphere, allowing them to reach remote regions such as Arctic glaciers. The research suggests that these fibers could even reach the stratosphere, with potential implications for cloud processes and ozone depletion.
Scientists at the University of Bath have found that the gene Angiogenin plays an important role in the development of nerve cells. In its mutated form, it causes stem cells to persist in their original state longer than they should, resulting in neurodevelopmental defects.
A new study by UCL researchers suggests that a vest mapping the heart's electrical activity could help identify people at high risk of sudden cardiac death. The electrocardiographic imaging (ECGI) vest combines signals with MRI images to generate 3D models, potentially predicting risk factors for life-threatening heart rhythms.
The study found that 3D integration can lead to significant heat spreading and crosstalk, reducing heater efficiency by up to -43.3% and increasing thermal crosstalk by up to +44.4%. However, optimizing design variables, such as spacing between µbumps and interconnect linewidth, can minimize the thermal penalty of 3D integration.
A new organoid model replicates the dopaminergic system's structure, connectivity, and functionality, shedding light on its intricate functionality and potential implications for Parkinson’s disease. The model also uncovers the enduring effects of chronic cocaine exposure on the dopaminergic circuit, even after withdrawal.
Professor Anne Bentley has developed innovative 3D-printed models to visualize nanoparticles, allowing students to grasp the material's special properties. Her research focuses on low-index shapes, which have catalytic properties and can convert carbon dioxide into fuel materials.
Researchers used AI-selected natural images and synthetic images to probe visual processing areas of the brain, finding that predicted maximal activator images significantly activated targeted areas. The study suggests individualized models for each subject can improve understanding of visual system organization across populations.
Researchers create a new, multi-chamber organoid model of the human heart, enabling them to advance screening platforms for drug development, toxicology studies, and understanding heart development. The model reveals intricate communication between chambers and provides insight into early heart development.
The new AI system can reliably recognize symbols on cuneiform tablets, allowing for the search and comparison of multiple tablets. This breakthrough enables new research questions and access to ancient texts.
Researchers developed a deep learning model that can identify previously unknown quasicrystalline phases in multiphase crystalline samples. The model achieved a prediction accuracy of over 92% and successfully detected an unknown phase in Al-Si-Ru alloys.
A new MIT study proposes a theoretical model that helps explain how cells maintain the memory of their cell type despite losing chemical modifications during DNA replication. The research team suggests that the 3D folding pattern of the genome determines which parts will be marked by these chemical modifications.
Researchers developed DIRFA, an AI-based program that generates realistic videos with facial animations synchronized to spoken audio, showcasing improvements over existing approaches. The tool has potential applications in healthcare, education, and entertainment, enhancing user experiences.
The POLINA project will develop new materials and technologies for medical applications, aiming to revolutionize bioprinting for safer, smarter and affordable medical devices. The project will create micropatterned cell surface models to help study lung diseases and design new tracheal implants.
Researchers have identified a tiny hinge in coronavirus spikes that allows them to tilt and bend. This bending affects how successfully the spike can infect a cell. The study suggests that disabling the spike's hinges could be a good strategy for designing vaccines and treatments against a broad range of coronavirus infections.
A team of experts has computationally modeled closed-loop geothermal systems to explore their economic viability. The study examines two basic setups and various parameters, including fluid types and pipe diameters, to optimize heat extraction from deep earth.
A recent study by Osaka University's researchers aims to bring science fiction stories closer to reality by studying the mechanical properties of human facial expressions. The team mapped out the intricacies of human facial movements using tracking markers, revealing that even simple motions can be surprisingly complex and nuanced.
Researchers developed an AI model analyzing 3D label-free changes in immune cell structure during healthy conditions, sepsis diagnosis, and recovery. Significant morphological changes were identified, suggesting CD8+ T-cell structures as a valuable complement to traditional diagnostic tools.
Researchers from the University of Cambridge have developed a virtual reality application that allows users to build figures and shapes without interacting with menus. The 'HotGestures' system uses machine learning to recognize hand gestures, providing fast and effective shortcuts for tool selection and usage.
Researchers develop complete theoretical model for Fringe Projection Profilometry (FPP) to evaluate its measurement precision. The new models provide a generic noise chain and transfer models, achieving accurate results in various regions of the camera.
Researchers from Tsinghua University provide an overview of biofabrication methods for single-cell feature building blocks to reconstruct engineered living systems. The techniques aim to replicate natural tissues with precise control over microenvironment and structure, benefiting biomedicine applications.