Computational Science
Articles tagged with Computational Science
Improving the reliability of circuits for quantum computers
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.
Space logistics on the right track
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 applied mathematics professor Fred Hickernell honored as SIAM fellow
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.
New chip can protect wireless biomedical devices from quantum attacks
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.
Penn researchers use AI to surface unreported GLP-1 side effects in Reddit posts
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.
University of Houston researcher uncovers the mathematical signature of fair competition
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.
Institute of Industrial Science, The University of Tokyo and George Mason University scientists mine past air temperature forecasts, lower cost with greater subseasonal prediction accuracy
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...
World’s largest quantum circuit simulation for quantum chemistry achieved on 1,024 GPUs
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...
Fujitsu and The University of Osaka develop new technologies for chemical material energy calculations on early-FTQC quantum computers
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.
Dancing to invisible choreography, quantum computers can balance the noise
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.
Jeonbuk National University researchers develop clustering-based framework for water level forecasting
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...
AI expert and industry-leading toxicologist Thomas Hartung hails launch of agentic AI platform, ToxIndex, as a “transformative moment” in chemical safety 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.
AI expert and industry leading toxicologist Thomas Hartung hails launch of agentic AI platform a “transformative moment” in chemical safety science
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.
Cambridge launches major strategic partnership with IonQ to ‘supercharge’ quantum research in the UK
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.
American Chemical Society Journal cover highlights SQU research on functionalized gold nanoparticles
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.
AI benefits from measured non-linearity
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.
Robust frozen dynamics observed on a quantum system
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.
How the human exposome will unlock better health and medicine:
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.
Quantum error correction with logical qubits
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.
MD Anderson and SOPHiA GENETICS announce strategic collaboration to accelerate AI-driven precision oncology
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.
Superradiant spins show teamwork at the quantum scale
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.
Anything-goes “anyons” may be at the root of surprising quantum experiments
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.
Large language models unleash AI’s potential for autonomous and explainable materials discovery
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.
Study provides comprehensive insights into DNA language models
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.
Cleveland Clinic researchers simulate supramolecular interactions using quantum-centric supercomputing
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.
Pusan National University scientists develop robust “Huber mean” for geometric data
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.
High-performance computing in Paderborn: new ‘Otus’ supercomputer put into operation
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.
Topology-aware deep learning model enhances EEG-based motor imagery decoding
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.
University of Houston reaffirmed as National Center of Cybersecurity Excellence
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.
Harnessing magnetism for faster, greener computing
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.
Lehigh University team develops computational model to guide neurostimulation therapy for atrial fibrillation
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.
One step closer to quantum computers that work properly
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.
NIH grant allows for development of next-generation computational tools to study fat metabolism and disease
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 “seating chart” for atoms helps locate their positions in materials
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.
Taking the shock out of predicting shock wave behavior with precise computational modeling
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.
Why some quantum materials stall while others scale
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...
Physics-based machine learning could unlock better 3D-printed materials
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.
Scalable and efficient quantum error correction for fault-tolerant quantum computing
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.
Routing photonic entanglement towards a quantum internet
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.
Singapore and Denmark pioneer sustainable cooling for megacities, supported by US$9.4 million from Grundfos Foundation
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.
New sources for quantum information: Diamonds with an optimal shine
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.
UVA wins $16M DOE award to launch simulation center for predictive science
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.
REDIMadrid launches End-to-End Quantum Secure Data Transport Project with Ciena
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.
Explore or exploit: Research that decodes animal decision-making earns NIH grant
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.
Shared tool developed for quantum and supercomputer systems
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 reshapes the rules of Bitcoin mining
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.
How to build larger, more reliable quantum computers
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.
New benchmark in secure quantum communication
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.
Japan launches fully domestically produced quantum computer
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.
Heavy fermions entangled: Quantum computing's new frontier?
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.
Petri net-based verification takes center stage in latest book on control systems
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.
Big data begins to crack the cold case of endometriosis
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, the structure of fair solutions, reshapes optimization by putting fairness first
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.
Do these two cancer drugs have what it takes to beat Alzheimer’s?
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.
Taking the fear out of quantum physics
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.
Computational trick enables better understanding of exotic state of matter
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.
Boson sampling finds first practical applications in quantum AI
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.
Robots made of linked particle chains
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.
Global bottom-up initiative takes off to map 80% of chronic disease: All health stakeholders herald a new era in diagnosis, prevention & treatment
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.