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Search results for “Mechanics”

1,000+ results for "Mechanics"

AI discovers interpretable constitutive laws in solids directly from data

Researchers developed a graph-based approach to directly extract concise and accurate constitutive equations from solid material experimental data. The method outperforms mainstream empirical models in predictive accuracy while preserving explicit, physically interpretable mathematical formulations.

SourceEastern Institute of Technology, Ningbo·JournalScience Advances·TypeComputational simulation/modeling·DateSep 11, 2026

Seoul National University of Science and Technology researchers explore how probabilistic analysis can help improve nuclear safety

Seoul National University researchers use probabilistic fracture mechanics to assess pipe rupture frequency in nuclear power plants, accounting for degradation mechanisms and individual parameters. The study highlights the importance of inspections in reducing rupture frequency, and the results can help engineers identify key factors g...

SourceSeoul National University of Science & Technology·JournalEngineering Failure Analysis·TypeComputational simulation/modeling·DateAug 27, 2026

Dynamic black holes explained by simple thermodynamics?

Researchers at Penn State have developed a new measure for entropy that is more closely tied to the black hole's physical properties of spin and energy. This allows them to extend the first and second laws of thermodynamics to dynamic black holes, enabling better understanding of their processes.

SourcePenn State·JournalPhysical Review Letters·DateJul 2, 2026

New MIT study bridges the worlds of classical and quantum physics

Researchers at MIT have discovered a mathematical connection between quantum mechanics and classical physics, enabling the description of quantum behavior using everyday classical ideas. The team's findings shed light on phenomena such as the double-slit experiment, which has long been challenging to explain using classical tools.

SourceMassachusetts Institute of Technology·JournalProceedings of the Royal Society A Mathematical Physical and Engineering Sciences·DateApr 22, 2026

Machine learning automates microfluidic chip design

Researchers developed a machine learning-assisted design tool, μFluidicGenius, to automate microfluidic chip design. The tool enables nonexpert users to rapidly design microfluidic circuits with optimal flow conditions, using a hybrid approach combining machine learning models with mathematical fluid mechanics calculations.

SourceKoç University·JournalScience Advances·TypeExperimental study·DateFeb 2, 2026

From experience-based simulations to predictive science

Researchers propose a new design principle for QM/MM simulations, enabling the objective and automatic determination of the quantum-mechanical region based on electronic-state changes. This approach addresses long-standing challenges in multiscale molecular simulations, demonstrating consistent applicability across different systems.

SourceChuo University·JournalAdvanced Science·TypeComputational simulation/modeling·DateJan 26, 2026

The (metabolic) cost of life

A new paper proposes a way to calculate the thermodynamic costs of metabolic processes, ranking them according to their biological efficiency. The method estimates the improbability of a network behaving in a certain way, considering maintenance and restriction costs.

SourceSissa Medialab·JournalJournal of Statistical Mechanics Theory and Experiment·TypeComputational simulation/modeling·DateJan 6, 2026

Turbulence with a twist

UC San Diego researchers Guru K. Jayasingh and Nigel Goldenfeld have predicted that a pipe's curvature can lead to a discontinuous turbulent transition beyond a critical flow velocity. This phenomenon is mathematically equivalent to the freezing of water, leveraging tricritical directed percolation theory.

SourceUniversity of California - San Diego·JournalPhysical Review Letters·TypeData/statistical analysis·DateSep 11, 2025

From quantum mechanics to quantum microbes: A Yale scientist’s journey of discovery

Bacteria breathe deep underground without oxygen using nanowires to dispose of excess electrons. Yale scientists found that electrons move rapidly through the wires via a wave-like behavior rather than hopping, defying classical Newtonian laws. This discovery has significant implications for quantum sensing and computation.

SourceYale University·JournalThe Journal of Physical Chemistry Letters·DateSep 9, 2025

HKUST team develops novel sampling method to innovate statistical mechanics

A research team led by Prof. PAN Ding and Dr. LI Shuo-Hui has developed a novel direct sampling method based on deep generative models for statistical mechanics. This method enables efficient sampling of the Boltzmann distribution across a continuous temperature range, overcoming energy barriers in simulations.

SourceHong Kong University of Science and Technology·JournalPhysical Review Letters·TypeObservational study·DateSep 3, 2025

Spatiotemporal photonic emulator of potential-free Schrödinger equation

Scientists create a spatiotemporal light system that emulates the behavior of potential-free Schrödinger equations, generating localized wavepackets without potential energy constraints. This breakthrough could provide new insights into quantum physics and applications in studying light-matter interactions.

Lighting a new way to predict earthquakes

A new laboratory earthquake model connects the microscopic real contact area between fault surfaces to earthquake occurrences, offering insights into earthquake mechanics and potential prediction. Continuous monitoring of physical properties could provide new tools for short-term systems and reliable prediction.

SourceUniversity of Southern California·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJun 5, 2025

The generalization of statistical mechanics makes it possible to regularize the theory of critical phenomena

Researchers have developed a new approach to regularize the theory of critical phenomena by generalizing statistical mechanics. The new method, based on non-additive entropy, provides finite values for quantities that diverge in traditional theories, offering insights into complex systems.

Making defects ‘sing’ in 3D-printed metal parts

A team led by Penn State researchers has developed a method to detect, measure and localize porosity defects inside 3D-printed metal parts using acoustic sensors built into the printing platform. This technique aims to improve efficiency, quality control and reliability of 3D-printed metal parts.

Physisorption-assistant optoelectronic synaptic transistors based on Ta2NiSe5/SnS2 heterojunction from ultraviolet to near-infrared

Researchers developed physisorption-assistant optoelectronic synaptic transistors based on Ta2NiSe5/SnS2 heterojunction, demonstrating tunable synaptic functionality in broadband (375-1310 nm). The strategy utilizes gas molecule adsorption to extend carrier lifetime and improve NIR light performance.

How to get rid of carbon dioxide for good

Computer simulations show that captured CO2 can be permanently stored underground by mixing with groundwater, creating a denser liquid that sinks and remains there. Suitable geological conditions, such as impermeable rock layers and porous aquifers, are necessary for effective CO2 storage.

SourceVienna University of Technology·JournalGeophysical Research Letters·TypeComputational simulation/modeling·DateApr 9, 2025

Howard University physicist revisits the computational limits of life and Schrödinger’s essential question in the era of quantum computing

A study by Philip Kurian and colleagues reveals a revised upper bound on carbon-based life's computational capacity, connecting it to the universe's information-processing limit. The discovery of quantum superradiance in cytoskeletal filaments enables eukaryotic organisms to process information through tryptophan networks.

SourceHoward University·JournalScience Advances·TypeSurvey·DateMar 28, 2025

The fine control of cell mechanics

Researchers discovered that gamma-actin increases the rigidity of cell membranes while beta-actin filaments are less stiff. This mechanism may contribute to hearing loss by affecting the apical membrane's stiffness essential for auditory function.

SourceUniversité de Genève·JournalNature Communications·TypeNews article·DateMar 20, 2025

How big brains and flexible skulls led to the evolution of modern birds

Research from the University of Chicago and University of Missouri reveals how modern birds' larger brains led to changes in their skulls, jaw muscles, and feeding mechanics. This evolution allowed for the development of cranial kinesis, enabling birds to move different parts of their skull independently.

SourceUniversity of Chicago·JournalProceedings of the National Academy of Sciences·TypeImaging analysis·DateMar 17, 2025

A study by UPF and Oxford clarifies that people take decisions more quickly than computers in situations of risk using quantum physics techniques

A new model of brain computational analysis, called CHARM, reveals that the human brain can surpass machines in critical decision-making. The CHARM model applies quantum mechanics to analyze long-distance brain connections, enabling precise modeling of the brain's dynamics.

SourceUniversitat Pompeu Fabra - Barcelona·JournalPhysical Review·TypeComputational simulation/modeling·DateMar 12, 2025

Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning

Researchers developed single-shot super-resolved fringe projection profilometry (SSSR-FPP) using deep learning to achieve 100,000 frames-per-second 3D imaging. This breakthrough offers new insights into ultra-fast dynamic processes and could revolutionize fields like mechanics and biology.

Universal conservation laws of the wave–particle–entanglement triad

Researchers develop a theoretical framework that reveals a conservation relationship among wave behaviour, particle behaviour, and entanglement. The team finds that the sum of these three elements remains constant, regardless of the choice of bipartite pure state, with experimental validation for various dimensions

Portable astronomical observation system based on large-aperture concentric-ring metalens

Researchers developed a portable telescopic system with a 5cm diameter concentric-ring metalens, achieving high-resolution detection within a 20° field of view. The design features an image-side telecentric optical system and a front aperture stop to reduce edge ray aberration, resulting in a PSF with MTF > 0.4 @ 46lp/mrad.

Quantum theory: From Planck to Egorov

A new theoretical approach, quantum-classical mechanics, reconciles the Franck-Condon principle and standard quantum mechanics. Electron chaos provokes dozy chaos in nuclei, leading to a new structural configuration consistent with electron charge distribution.

SourceELSP·JournalAsymmetry·TypeExperimental study·DateJan 22, 2025