Articles tagged with Computer Simulation
The DOE has committed funding for UNITY-3, a cutting-edge breeding blanket test facility at ORNL, with Kyoto Fusioneering relocating its US headquarters to Tennessee. This partnership establishes a shared commercial-scale testing infrastructure to validate critical systems and train digital twins of breeding blanket concepts.
Researchers at ISTA develop two modeling approaches to represent extremely deformable surfaces more realistically while cutting computational costs. They take inspiration from natural systems like volcanic lava and cake batter to create a wave-based approach, which tackles long-standing graphics problems from a new angle.
A KAIST research team developed an XR comics platform, ComiXR, that enables users to read and create comics in immersive environments. The platform demonstrated increased immersion when comic elements were positioned at different depths and incorporated sensory experiences such as facial expression tracking.
A new tool generates realistic monkey body animations, revealing an uncanny valley effect where macaques prefer less realistic avatars to highly realistic ones. The study provides the first evidence that non-human primates experience this phenomenon.
Researchers at the University of Lausanne developed a groundbreaking simulation that reconstructs the journeys of giant rocks carried by ice across the Alpine region. The model provides a tangible visualization of the processes that shaped today's landscapes.
University of Jaume I students Pau Montagut and Mario García won first place at the ICRA 2026 robotics conference with an AI model that taught a Toyota HSR robot to perform household tasks. The team's achievement is notable given their undergraduate status, competing against teams of research personnel.
MIT researchers developed a new system-on-a-chip called Gleanmer, which generates highly accurate 3D maps of the robot's environment using Gaussians to represent obstacles. This approach reduces memory and power consumption by up to 99%, making it suitable for lightweight augmented reality headsets.
MD4SB integrates molecular dynamics tools into three European Research Infrastructures, enabling researchers to share and reuse data, and accelerate drug discovery. The project also involves pharmaceutical companies like Almirall and Sanofi.
The Association for Computing Machinery (ACM) will publish Theory and Practice of Logic Programming (TPLP), an international venue for refereed papers on logic programming. The entire TPLP archive dating back to 2001 will be openly accessible via the ACM Digital Library.
A scientific team has developed an AI-powered approach to solve a practical problem in materials science by locating missing atomic positions in otherwise known structures. By using an adapted open-source model called XtalPaint, researchers can reconstruct accurate crystal representations with a success rate of 97%.
A new AI model has revolutionized molecular simulations, enabling researchers to predict molecular behavior and identify promising drug candidates more quickly. By analyzing over 12,500 organic molecules, the model has demonstrated accuracy and consistency with physical laws.
A neural network-based machine learning model accelerates diffuse optical tomography by over a million-fold, enabling real-time diagnosis. The model accurately reproduces signals even for unseen parameter combinations, with each inference taking approximately 2 milliseconds.
Researchers at Emory University discovered a flaw in reinforcement learning used to guide sepsis treatment, which can result in either overtreatment or undertreatment. The team developed a simple workaround to avoid the flaw, leading to an 8-10% decrease in patient mortality.
Researchers at Binghamton University developed a system that enables users to monitor real plants in real-time using virtual reality. This technology makes farming more accessible for older adults and people with disabilities, allowing them to observe plants without physically being present.
Researchers discovered that DNA uses multiple ultrafast relaxation pathways involving moving electrons and protons to dissipate energy within femtoseconds, making it remarkably photostable. This complex network of competing processes enhances DNA's ability to safely drain away harmful UV energy before damage can spread.
A new approach enables computers and machines to capture images at higher resolution and faster speed, making it impervious to reflective surfaces. The technology uses a virtual screen created by repurposing the surroundings of specular objects.
A study of the 2005 Fukuchiyama-Line derailment accident reveals failures in organizational management as the root cause. The analysis found that skill development systems based on two-way communication among drivers are the most effective measure for preventing such accidents.
The UC San Diego team developed an open-source digital twin platform called Tiny-Twin, which enables fast and realistic testing of applications over wireless networks. The platform allows researchers to test complete applications, such as video streaming, without needing specialized hardware or proprietary data.
Researchers developed genESOM, a generative AI that can expand dataset volume and simulate larger animal numbers while maintaining reliability. This allows for 30-50% reduction in animal experiments without compromising results.
Researchers at Kyushu University developed a new mathematical model that simulates oxygen transport by red blood cells through tiny blood vessels and their delivery to surrounding tissues. The findings show that RBCs can naturally adjust the amount of oxygen released based on local requirements.
Researchers developed a fleet of cooperative robots that, like ants, can spontaneously organize to build and dismantle structures without central control. They identified key parameters needed for excavation and building performance using simple local rules.
A team of researchers from The University of Osaka used supercomputer simulations to study how vortices generated by dolphin kicks power fast swimming. They found that large, powerful vortices created by the movement of the dolphin's tail are responsible for most of the propulsion, while smaller ones contribute little to forward motion.
Researchers propose new method to capture complex human movement in public spaces, addressing limitations of traditional approaches. By standardizing data measurement, they aim to improve crowd safety predictions and design safer spaces.
Researchers at Chalmers University of Technology have demonstrated that several qubits can share the same cable without significantly increasing computation time. This breakthrough technique could enable large-scale quantum computers with thousands of well-functioning qubits, revolutionizing fields like drug development and logistics.
A new computational model developed by researchers at Chalmers University of Technology shows that onshore wind is likely to supply around 25% of global electricity by 2050 and solar reaching about 20%, aligning with the 2°C target. However, this falls short of what is required for a 1.5°C goal.
The University of Michigan's new solar particle forecasting technology has been integrated into NASA's Artemis II mission to provide situational awareness of impending harmful radiation released during solar flares and eruptions. The machine-learning model uses satellite images of the sun and corona to forecast solar particle storms up...
Researchers have created a new AI model that can simulate molecules under extreme conditions, allowing for reliable discoveries in fields like drug development and sustainable chemistry. The model's stability opens up new opportunities for simulations in areas where long-term accuracy is essential.
Researchers developed an AI model to create highly photorealistic 3D reconstructions of ground-level damage after earthquakes. The LoRA-Enhanced Ground-view Generation diffusion model can recognize complex visual patterns and predict where structures may be damaged, even in densely populated urban areas.
A new study reveals that the hippocampus represents emotion concepts in a structured hierarchy of pleasantness and bodily reaction, while the ventromedial prefrontal cortex tracks relationships between these nodes. This map-like representation may help in the treatment of mental illnesses, such as depression and anxiety.
Researchers from CASUS at HZDR developed a reliable computational framework to study polyheptazine imides' electronic and optical properties. This work confirms the potential of these materials for photocatalytic reactions, including water splitting and carbon dioxide reduction.
A new AI model can predict moderate heat stress on Florida reefs up to six weeks ahead of time. The model is accurate within one week and provides site-specific predictions, helping coral scientists and restoration practitioners with local reef management and emergency response planning.
Researchers at OIST found that combining inner speech with working memory enhances AI learning, enabling easier adaptation to new situations. This discovery holds promise for developing more human-like AI systems capable of handling complex, dynamic environments.
Researchers have developed a GNSS-only method that consistently outperforms existing methods in dense urban areas, enabling safer and more reliable autonomous navigation. The approach uses a probabilistic framework to estimate position without relying on carrier-phase integer ambiguity resolution.
Researchers at the University of Groningen developed an atomistic model that predicts the driving force for microstructural twinning in shape memory alloys. This discovery can lead to the creation of new crystalline materials with improved reversible deformations, vibration damping, and impact absorption.
New research demonstrates neuromorphic computing's ability to solve complex mathematical problems, including partial differential equations. This technology has the potential to revolutionize energy-efficient computing and tackle real-world challenges.
Researchers developed a portfolio optimization framework to maximize offshore energy production by identifying optimal locations for wind turbines and marine hydrokinetic technologies. The study found that combining these technologies in suitable locations can significantly reduce costs and increase energy stability.
A team of researchers used innovative approaches, including public data and machine learning models, to create more accurate predictions of coastal erosion and infrastructure damage. The project aims to improve storm preparedness and timeliness.
The UC3M's new supercomputer is a state-of-the-art facility designed to support research and development projects requiring high-performance computing. The system features over 11,500 CPU cores and 42 GPUs, enabling the processing of large volumes of data and complex numerical simulations.
This study investigates how environmental variability and human migration influence the evolution of cooperation among humans. Simulation results reveal that cooperation is more likely to evolve when these factors are sufficiently high, hindering non-cooperative groups and encouraging cooperative groups.
A new study used deep learning and large-scale computer simulations to identify structural differences in synthetic cannabinoid molecules that cause them to bind to human brain receptors differently from classical cannabinoids. Researchers found that these substances often trigger the beta arrestin pathway, leading to more severe psych...
Researchers at MBL propose a model for how properties of individual molecules emerge to form liquid droplets called condensates. By combining imaging and computer simulations, they reveal the importance of linker DNA in determining condensate structure.
The new LimbNET platform enables direct simulation of complex biological growth processes, empowering researchers to test and compare hypotheses. The project aims to enhance collaboration, transparency, and knowledge building in the limb development community.
A Kobe University team has introduced a new method using deep learning for creating tailored simulations that respect physical laws while being computationally efficient. The approach shows superior accuracy in simulating diverse physical systems, including those with chaotic behavior.
An international team led by Lehigh University researcher Hannah Dailey is building predictive models to understand and eventually prevent bone healing complications. The team aims to incorporate biological differences into the model, using a library of imaging data from Switzerland's AO Research Institute Davos.
McMaster and Pittsburgh researchers have developed a soft material that can perform a NAND logic operation using only three beams of visible light. The breakthrough paves the way for autonomous systems with computation capabilities without traditional electronics.
Researchers at RIKEN successfully simulated the Milky Way Galaxy with over 100 billion individual stars, far surpassing previous state-of-the-art models. This achievement demonstrates the power of AI-accelerated simulations in tackling complex multi-scale problems in astrophysics and beyond.
A new report from Earth4All argues that Brazil's vast forests and renewable energy potential are complemented by the power of trust and social cohesion in tackling the climate crisis. The study identifies five areas for coordinated reforms to accelerate decarbonisation and build resilience, including poverty reduction and inclusive gov...
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
Researchers at Washington State University found that early planting to avoid heat damage may actually hinder spring wheat productivity due to other growth issues. The study used computer modeling to show that moving crop plantings earlier in the season can expose crops to elevated heat or cold stress in later growth stages.
Marmar Moussa's project aims to bridge the gap between single-cell technologies and spatial tissue analysis, creating a more complete picture of disease development. The new algorithms will enable scientists to study tumor progression, extracellular matrix remodeling, and other dynamic processes in cancer and beyond.
A solar sail probe could provide a new vantage point for detecting space tornadoes, also known as flux ropes, which can disrupt Earth's magnetic field. These smaller features are too small for typical simulations, but a solar sail probe can help scientists see them and predict potential hazards.
A recent study used Japan's Fugaku supercomputer to simulate the effects of time-varying dark energy on cosmic evolution. The results show that a higher matter density creates stronger gravitational forces, leading to earlier and more efficient formation of massive galaxy clusters.
A research team has discovered the structural origins of mechanical softness in amorphous materials like glass, attributing it to hierarchical ring structures that coexist with medium-range order and local disorder. This finding will accelerate the design of flexible and strong amorphous solids.
Biomedical engineers at Duke University developed a platform combining automated wet lab techniques and AI to design nanoparticles for drug delivery. The TuNa-AI platform resulted in a 42.9% increase in successful nanoparticle formation compared to standard approaches.
Researchers at FAU have developed a smarter AI framework that can manage complex systems with unequal levels of authority and adapt to imperfect information. The framework, based on reinforcement learning and game theory, reduces unnecessary computation while maintaining system stability and optimal strategy outcomes.
University of Michigan researchers have made significant progress in developing a more accurate simulation approach for density functional theory, a widely used method in fundamental chemistry and materials science studies. The new approach has improved the calculation of exchange-correlation functionals, which describe how electrons i...
Tayfun Tezduyar's space-time computational flow analysis enables accurate modeling of complex systems, from designing parachutes for astronauts to simulating blood flow through heart valves. The approach provides high-fidelity representations in both space and time, allowing for more realistic solutions.
A new computational framework has been developed to optimize cellular self-organization, allowing scientists to understand and control how cells grow and interact. The framework uses machine learning tools to extract rules that guide cell behavior, enabling the creation of artificial organs and potential treatments for cancer.
Researchers developed a two-phase simulation model incorporating air-water interactions, representing eddies and aerosols more realistically. The hybrid method balances computing power and precision, conserving resources in less active areas.
Researchers from FAU and the Sensing Institute created a detailed computer model of the mouse brain's vasculature, simulating how brain blood vessels respond to hemodynamics and vasodynamics. The model shows that transitional vessels play a critical role in regulating flow and protecting the brain during increased activity.