Articles tagged with Computational Science
The NYU Earth Systems Institute aims to predict environmental changes and advance measures to prepare for a changing planet. The institute combines AI, engineering, and natural science expertise to improve weather and climate projections and strengthen food, water, and energy systems.
Researchers developed an interferometric second-harmonic generation imaging approach to identify antiparallel domains and detect hidden structural defects in hBN thin films. The study finds that SHG intensity is closely associated with differences in crystal orientation and destructive interference between domains.
Researchers at VCU have developed a technique to control the spins of electrons in diamond qubits using tiny nanomagnets. This approach could enable scalable quantum computing and lead to significant energy savings.
The Barcelona Supercomputing Center has inaugurated its third quantum computer, EuroQCS-Spain, integrating classical and digital computing with analog processing. This system enhances MareNostrum 5's capabilities, supporting European research and industry in quantum technologies.
The Universitat Jaume I has secured funding for five research projects worth nearly one million euros to strengthen its research activity. These projects focus on improving neural networks, understanding memory, tackling antimicrobial resistance, developing new materials, and assessing the impact of air pollution on neurocognitive health.
Researchers from MIT developed a technique to detect and precisely measure second-order harmonic corrections in superconducting quantum circuits. This analysis revealed the source of these distortions, which can cause quantum circuits to perform differently than expected.
A team of researchers at Bielefeld University has developed a precise mathematical approach to plotting routes through space and time. The new method could help make space missions more efficient and also improve transportation systems on Earth.
Illinois Tech Professor of Applied Mathematics Fred Hickernell has been named a SIAM fellow for his outstanding research and contributions to high-dimensional integration and approximation. He is developing software libraries that make cutting-edge computational methods accessible to researchers.
MIT researchers have developed an ultra-efficient microchip that can bring post-quantum cryptography techniques to wireless biomedical devices. The chip includes built-in protections against physical hacking attempts and is more than an order of magnitude more energy-efficient than prior designs.
Researchers identified patient-reported symptoms associated with GLP-1s, including menstrual changes, fatigue, and temperature-related complaints, that may not be fully captured in clinical trials or drug labeling. Nearly 4% of Reddit users reported reproductive symptoms, and fatigue was the second most common complaint.
A mathematical model identifies universal patterns in competitive systems, revealing an optimal 'sweet spot' where excellence and opportunity coexist. The study found that high-performing systems strike a delicate balance between demand and opportunity.
Researchers at Institute of Industrial Science, The University of Tokyo and George Mason University developed a new method called Lagged Ensemble Analog Sub-selection (LEAS) to improve air temperature forecasts one to five weeks in advance. This approach selectively retains past ensemble members with high predictive skill, improving fo...
Researchers have demonstrated a world-leading classical simulation of iterative quantum phase estimation circuits for quantum chemistry on up to 1,024 GPUs, expanding the scale of molecular systems available for the development and validation of quantum algorithms. This achievement supports progress toward industrial applications in dr...
Researchers developed a new technology combining ver. 3 of the STAR architecture with molecular model optimization, significantly reducing computational resource requirements for chemical material design calculations. This breakthrough enables realistic energy calculations using early-FTQC quantum computers within a practical timeframe.
Researchers at Virginia Tech have developed a method to reduce noise in quantum computers by using a geometric approach. By adjusting the shape of a 3D space curve, they can design pulses that suppress noise errors and improve performance. This breakthrough brings us closer to large-scale quantum computing.
ToxIndex integrates AI agents to access and orchestrate toxicological resources, providing comprehensive risk assessments in hours. The platform addresses a critical need in chemical and drug safety, meeting the vision of the 2007 NRC report for 21st-century safety testing.
The new framework groups stations with similar hydrological behavior, reducing computational cost while maintaining high predictive accuracy. This approach enables scalable, data-efficient AI systems for water level forecasting, supporting flood early-warning systems, optimized reservoir and irrigation management, and improved decision...
ToxIndex integrates three tiers of New Approach Methodologies, leveraging AI agents to access and orchestrate toxicological resources, and providing comprehensive, source-traceable risk assessments in a fraction of the time required by traditional methods.
The University of Cambridge has launched a major strategic partnership with IonQ to develop the UK's most powerful quantum computer, accelerating research and discovery in quantum science and technology. The partnership will support the creation of the IonQ Quantum Innovation Centre, housing a state-of-the-art 256-qubit quantum computer.
A study from Sultan Qaboos University's Department of Physics investigates how surface functionalization affects gold nanoparticle behavior. The research uses molecular dynamics simulations to show that varying surface coverage density can influence thermodynamic behavior and stability.
Researchers found that dosed nonlinearity improves model performance in various tasks, especially with limited data. Nonlinear units function like flexible switches, adapting linear processing modes based on context.
Duke University researchers have observed statistical localization in a neutral-atom platform, where most configurations of quantum bits remain effectively frozen. This phenomenon has implications for robustly storing information in a quantum system and could be a powerful feature of quantum mechanics.
The Global Exposome Forum is a global initiative that aims to understand the complex interplay between biological, chemical, and environmental exposures and human health. The project has partnered with national governments, scientific institutions, and large membership-led organizations to advance exposomics science.
A new project aims to develop robust logical quantum bits for scalable and fault-tolerant quantum computing. The snaQCs2025 project combines innovative simulation and integration methods to compensate for error susceptibility of physical qubits, bringing quantum computing closer to practical use.
The collaboration aims to integrate AI-powered analytics with clinical expertise to accelerate data-driven cancer care. MD Anderson researchers will leverage SOPHIAs AI technologies to develop bioinformatics pipelines for rapid RNA-sequencing data interpretation.
Researchers have discovered a new method for generating highly stable and precise microwave signals through self-induced superradiant masing. This phenomenon produces long-lived bursts of microwave emission without external driving, paving the way for technological advances in fields like medicine, navigation, and quantum communication.
Theoretical physicists at MIT propose that under certain conditions, magnetic material’s electrons could form quasiparticles called “anyons” that can flow together without friction. If confirmed, it would introduce a new form of superconductivity persisting in the presence of magnetism.
Researchers developed MatAgent, an AI framework that leverages a large language model to design new inorganic materials. The system uses natural language reasoning and explains its decisions in plain language, making the design process more efficient and transparent.
A study compares five DNA foundation language models across 57 diverse datasets to identify their strengths and weaknesses in predicting gene expression, identifying genomic components, and detecting harmful mutations. The findings highlight the importance of selecting appropriate models based on specific genomic tasks.
Researchers at Cleveland Clinic and IBM developed a hybrid quantum-classical model to simulate molecular interactions. The study accurately simulated two supramolecular systems, water dimer and methane dimer, for the first time using quantum computers.
The new statistical method adapts to data structure, resisting outliers and providing greater stability on non-Euclidean spaces. This improves the reliability of analysis in areas like medical imaging, computer vision, and machine learning.
The 'Otus' supercomputer provides a solution to pressing challenges through its massive parallel computing capacity, allowing researchers to simulate complex processes, identify patterns, and make predictions about future developments. The system also promotes sustainability with indirect free cooling and renewable energy sources.
Researchers developed a novel topology-aware multiscale feature fusion network to enhance EEG-based motor imagery decoding. The TA-MFF network achieves excellent classification performance, outperforming state-of-the-art methods by leveraging spectral-topological data analysis-processing and inter-spectral recursive attention.
The University of Houston has been redesignated by the NSA as a Center for Academic Excellence in Cyber Research (CAE-R) through 2029. This recognition underscores UH's growing role in advancing research and workforce training to strengthen US resilience against evolving cyber threats.
Engineers at the University of Delaware have developed a novel method to detect and control magnetic waves using electric signals, enabling computers to run faster and with greater energy efficiency. This breakthrough could lead to computer chips that integrate magnetic and electric components directly.
The Lehigh University team created a computational model to predict the hemodynamic response of patients with AFib, helping tailor neurostimulation dosages. The model validated against clinical data and predicted accurate effects on blood pressure, heart rate, and stroke volume.
A team of researchers at NTNU's Department of Physics has developed a method to monitor and adjust the frequency of quantum bits in real-time, making them more stable and reliable. This breakthrough is essential for building functional quantum computers.
Dr. Yu-Ming Mindy Huang's research aims to overcome limitations in current methods by building a higher-accuracy computer microscope to investigate membrane-bound protein diffusion and interactions. The study has two complementary directions: modeling viral proteins and understanding lipid storage on lipid droplets.
A new computational method, DIGIT, enables optical microscopes to resolve individual atoms and zero in on their exact locations in a crystal structure. This technique can help guide the design of quantum devices and provide insights into advanced materials.
Computational models now accurately represent very weak shock waves, which are crucial in flows involving shock waves. The final state of a moving shock wave can be classified into three regimes: dissipated, transitional and thinly captured.
A new study by MIT researchers evaluates the scale-up potential of over 16,000 quantum materials, finding that those with high quantum fluctuation in electrons tend to be more expensive and environmentally damaging. The team identified promising candidates with an optimal balance between quantum functionality and sustainability for fur...
A new project aims to develop a computationally efficient model that accurately predicts how additive manufacturing process parameters influence the solidification microstructure of binary alloy solidification. This will enable optimization of additively manufactured parts with confidence in critical industries.
Scientists develop novel LDPC quantum error correction codes that can handle hundreds of thousands of logical qubits and approach the theoretical hashing bound. The new codes achieve extremely high decoding performance, demonstrating a frame error rate as low as 10^-4, even for large-scale numerical simulations.
A new photonic router has been developed at Tohoku University, enabling the efficient routing of single and entangled photons with high fidelity. The router achieves low loss and high speed, making it compatible with existing telecom fiber networks.
The SWiM project aims to develop intelligent and sustainable cooling systems that can reduce energy consumption in large cities by up to 30%. The system will use district heating and cooling technologies, combining expertise from Singapore and Denmark.
The Hebrew University team has developed a way to capture nearly all the light emitted from tiny diamond defects known as color centers. This breakthrough enables the development of next-generation quantum computers, sensors, and communication networks.
The SAGEST Predictive Simulation Center will develop simulation tools to give scientists confidence in exploring extreme physical conditions. The center, led by UVA's Xinfeng Gao, will use high-fidelity and low-fidelity solvers to balance accuracy and efficiency in predictions.
Researchers are decoding animal decision-making using glass knifefish, exploring the trade-off between gathering information and acting on it. The study, funded by the NIH, aims to understand how animals make decisions in uncertain environments and may lead to breakthroughs in robotics and medicine.
REDIMadrid is launching an end-to-end quantum secure data transport project with Ciena, enabling high-speed security for research and education in Madrid. The collaboration integrates Quantum Key Distribution technology with optical infrastructure, paving the way for widespread adoption of quantum-secure networks.
A new hybrid software approach, sys-sage, facilitates collaboration between quantum and high-performance computing systems. The system can optimize task allocation and mapping to the best resources in each topology.
A new attack, Infiltrated Selfish Mining (ISM), could reshape the rules of Bitcoin mining by allowing attackers to profit simultaneously. ISM avoids the miner's dilemma and yields up to 1.52 times more rewards than previous attacks.
Researchers at the University of California, Riverside, have made a breakthrough in building larger and more reliable quantum computers by linking multiple quantum chips. The team found that even imperfect links between quantum chips can produce a functioning fault-tolerant quantum system.
Physicists have developed a breakthrough concept in quantum encryption that uses innovative protocols applied to tiny quantum dots to send encrypted information securely, even with imperfect light sources. The new approach outperforms current systems and has the potential to bring quantum-safe communication closer to everyday use.
The University of Osaka's Center for Quantum Information and Quantum Biology successfully launched a fully domestically produced quantum computer. The achievement demonstrates Japan's capacity to design, manufacture, and integrate a complete quantum system, showcasing its mastery of quantum technologies.
Researchers have observed quantum entanglement in heavy fermions governed by the Planckian time, a fundamental unit of time in quantum mechanics. This phenomenon opens up possibilities for harnessing it in solid-state materials to develop a new type of quantum computer.
The book explores foundational and advanced principles of modeling concurrent control systems using Petri nets, focusing on building reliable, verifiable systems where concurrency plays a central role.
A study using anonymized patient records from UC health centers found over 600 correlations between endometriosis and other conditions, including infertility, autoimmune disease, and certain cancers. The research supports the growing understanding of endometriosis as a multi-system disorder.
A new book introduces a structure that balances efficiency and fairness in optimization models, examining real-world effects of different approaches. It suggests that truly optimal results are fair ones, promoting informed and ethical choices in algorithm-driven world.
A combination of two approved cancer medications may slow or reverse Alzheimer's symptoms by reversing gene expression changes in neurons and brain cells. Researchers analyzed public data from deceased donors and found a link between these drugs and reduced risk of developing the disease.