Articles tagged with Computational Science
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
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.
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.
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.
Cleveland Clinic researchers successfully tested quantum computing's ability to simulate proton affinity, a fundamental chemical process critical to life. The study used machine learning applications on quantum hardware, achieving higher accuracy than classical computing in predicting proton affinity.
A team of researchers from Osaka University has demonstrated that human tissue can be used to solve complex equations and process information, outperforming traditional computing methods. This breakthrough uses the concept of reservoir computing, where data is input into a complex 'reservoir' that encodes rich patterns.
A new brain-like computer uses analog computing to process and store information in the same location as biological neurons, reducing power consumption by 0.25%. The device, called a memristor network, is more efficient than conventional transistor-based computers and has implications for autonomous vehicles and drones.
UTA's expansion of its undergraduate research program has enabled students to present their work at major symposiums, including the American Institute of Aeronautics and Astronautics conference. The program has strengthened students' commitment to pursuing graduate studies in various fields.
A Microsoft team led by UC Santa Barbara physicists has developed an eight-qubit topological quantum processor, opening the door to a more stable and robust quantum computer. The chip utilizes Majorana zero modes for error correction, promising a fault-tolerant system.
The Heidelberg Laureate Forum Foundation offers journalist travel grants to cover the 12th HLF from September 14-19, 2025. Journalists can apply until March 31, 2025, and will have exclusive access to interview renowned laureates and young researchers.
The 'equity by design' framework proposed by Daryl Lim aims to maximize AI benefits while minimizing harm, particularly for underrepresented individuals. The approach embeds equity principles throughout the AI lifecycle, addressing biases and increasing inequality.
A new study by the University of Granada's DaSCI institute uses deep generative vision models to create highly realistic satellite images of future climate-related events. The model outperforms pure deep learning and manual solutions, reducing prediction errors and improving image reliability.