Articles tagged with Computational Science
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.
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.
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.
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.
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 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.
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.
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.
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 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.
A national pilot program led by UTA faculty is helping take the mystery out of quantum physics for students and educators. The program, Quantum for All, provides hands-on curriculum and classroom strategies to equip high school science teachers with the tools they need to teach quantum science.
A team of researchers has successfully described warm dense matter, a state of matter combining solid, liquid, and gaseous phases, using a new computational method. This breakthrough advances laser fusion research and helps in the synthesis of new high-tech materials.
Researchers from OIST develop new quantum AI method for image recognition based on boson sampling, achieving highly accurate results without complex training. The approach uses a linear optical network and preserves information, outperforming classical methods in various datasets.
The Human Exposome Moonshot initiative aims to map the physical, chemical, biological and psychosocial exposures driving 80% of chronic diseases. The exposome project integrates advanced technologies to create a comprehensive understanding of environmental influences on health.
Researchers at Harvard developed link-bots, centimeter-scale robots composed of V-shaped chains with notched links, capable of coordinated movements and emergent collective behavior. The team demonstrated link-bots' ability to move forward, stop, change direction, squeeze through gaps, and cooperate on tasks.
A team led by Kenneth Merz used IBM Quantum System One to run Sample-Based Quantum Diagonalization, a new method for simulating molecules in solvent. The approach achieved high chemical accuracy and demonstrated the ability to predict molecular energies and solvation free energy in aqueous solutions.
Prof. AU Man Ho Allen has been recognized with the prestigious Hong Kong Engineering Science and Technology (HKEST) Award 2024-25 for his outstanding contributions to the Web3 ecosystem and the digital economy. His research focuses on developing practical, secure, and privacy-preserving cryptographic solutions.
The fifth annual Quantum Science Center Summer School at Purdue University welcomed its largest group of students, with a focus on introductory presentations and technical talks. Graduate students and doctoral candidates led the program, which covered topics such as quantum materials, devices, and algorithms.
Researchers at Caltech successfully controlled the motion of individual atoms, encoding quantum information, and demonstrated hyper-entanglement in massive particles. This experiment could lead to advancements in quantum computation and precision clocks.
Researchers at U of A create a transistor that operates at speeds over 1,000 times faster than modern computer chips. The breakthrough uses quantum effects to manipulate electrons in graphene, enabling ultrafast processing for applications in space research, chemistry, and healthcare.
The Human Exposome is a global scientific effort to understand the environmental factors that underpin disease and health. The Exposome Moonshot Forum aims to chart this exposome, providing usable metrics and data points for targeted public health interventions.
Skia identifies and decodes shadow branches, storing them in a memory area to alleviate bottlenecks and improve throughput. The technique can lead to quicker performance and less power consumption for data centers.
ACM has joined India's ONOS initiative, providing 6,500 government-funded institutions with Premium Access to the ACM Digital Library. This enables authors to publish unlimited Open Access articles without APCs, increasing global visibility and reach of Indian research.
Researchers at the University of Bristol have discovered a novel way to accelerate accurate quantum measurements by trading space for time using additional qubits. This method enables faster and more confident measurements without sacrificing accuracy, with potential applications in leading quantum hardware platforms.
A Lehigh University team developed a novel machine learning method to predict abnormal grain growth in materials, enabling the creation of stronger, more reliable materials. The model successfully predicted abnormal grain growth in 86% of cases, with predictions made up to 20% of the material's lifetime.
Researchers at ETH Zurich developed a method to measure frictional forces between single particles in suspensions. By understanding these microscopic interactions, they can optimize suspension flow characteristics and prevent dramatic thickening.