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Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity

An energy-based a posteriori error bound is proposed for the physics-informed neural network solutions of elasticity problems. An admissible displacement-stress solution pair is obtained from a mixed form of physics-informed neural networks, and the proposed error bound is formulated as the constitutive relation error defined by the solution pair. Such an error estimator provides an upper bound of

Multi-fidelity regression using artificial neural networks : Efficient approximation of parameter-dependent output quantities

Highly accurate numerical or physical experiments are often very time-consuming or expensive to obtain. When time or budget restrictions prohibit the generation of additional data, the amount of available samples may be too limited to provide satisfactory model results. Multi-fidelity methods deal with such problems by incorporating information from other sources, which are ideally well-correlated

Transport and retention of functionalized graphene oxide nanoparticles in saturated/unsaturated porous media : Effects of flow velocity, ionic strength and initial particle concentration

The widespread use of nanomaterials has raised the threat of nanoparticles (NPs) infection of soils and groundwater resources. This research aims to investigate three parameters including flow velocity, ionic strength (IS), and initial particle concentration effects on transport behavior and retention mechanism of functionalization form of graphene oxide with polyvinylpyrrolidone (GO-PVP). The tra

The anomalous Lagrangian in ChPT at NNLO

The anomalous Lagrangian in mesonic Chiral Perturbation Theory, of odd intrinsic parity, is determined to next-to-next-to-leading order thereby completing the order p8 Lagrangian. A schematic view of its construction with the MINIBAR package for Mathematica is presented and the final operator count is discussed for a general number of light quark flavours as well as for the physical cases N f = 2,

In Situ Loading and Time-Resolved Synchrotron-Based Phase Contrast Tomography for the Mechanical Investigation of Connective Knee Tissues : A Proof-of-Concept Study

Articular cartilage and meniscus transfer and distribute mechanical loads in the knee joint. Degeneration of these connective tissues occurs during the progression of knee osteoarthritis, which affects their composition, microstructure, and mechanical properties. A deeper understanding of disease progression can be obtained by studying them simultaneously. Time-resolved synchrotron-based X-ray pha

Vapor equilibrium models of accreting rocky planets demonstrate direct core growth by pebble accretion

The gaseous envelope of an accreting rocky planet becomes hot enough to sublimate silicates and other refractory minerals. For this work, we studied the effect of the resulting envelope enrichment with a heavy vapor species on the composition and temperature of the envelope. For simplification, we used the gas-phase molecule SiO to represent the sublimation of silicate material. We solved the equi

Size-Dependent Multi-Electron Donation in Metal-Complex Quantum Dots Hybrid Catalyst for Photocatalytic Carbon Dioxide Reduction

The effective conversion of carbon dioxide (CO2) into valuable chemical fuels relies significantly on the donation of multiple electrons. Its efficiency is closely linked to both the density and lifetime of excited charge carriers. In this study, a hybrid catalyst system comprising covalently bonded InP/ZnS quantum dots (QDs) and Re-complexes is showcased. The electronic band alignment between the

Heritable variation in thermal profiles is associated with reproductive success in the world's largest bird

Organisms inhabiting extreme thermal environments, such as desert birds, have evolved spectacular adaptations to thermoregulate during hot and cold conditions. However, our knowledge of selection for thermoregulation and the potential for evolutionary responses is limited, particularly for large organisms experiencing extreme temperature fluctuations. Here we use thermal imaging to quantify select

Measurement properties of the Body Awareness Scale Movement Quality (BAS MQ) in persons on the autism spectrum : A preliminary Rasch analysis

Background: Persons on the autism spectrum exhibit poorer body awareness than neurotypical persons. Since movement quality may be regarded as an expression of body awareness, assessment of movement quality is important. Sound assessments of measurement properties are essential if reliable decisions about body awareness interventions for persons on the autism spectrum are to be made, but there is i

Optical Analysis of Perovskite III-V Nanowires Interpenetrated Tandem Solar Cells

Multi-junction photovoltaics approaches are being explored to mitigate thermalization losses that occur in the absorption of high-energy photons. However, the design of tandem cells faces challenges such as light reflection and parasitic absorption. Nanostructures have emerged as promising solutions due to their anti-reflection properties, which enhances light absorption. III-V nanowires (NWs) sol

Echocardiographic estimation of pulmonary artery wedge pressure: invasive derivation, validation, and prognostic association beyond diastolic dysfunction grading

Aims: Grading of diastolic function can be useful, but indeterminate classifications are common. We aimed to invasively derive and validate a quantitative echocardiographic estimation of pulmonary artery wedge pressure (PAWP) and to compare its prognostic performance to diastolic dysfunction grading.Methods and results: Echocardiographic measures were used to derive an estimated PAWP (ePAWP) usingAims: Grading of diastolic function can be useful, but indeterminate classifications are common. We aimed to invasively derive and validate a quantitative echocardiographic estimation of pulmonary artery wedge pressure (PAWP) and to compare its prognostic performance to diastolic dysfunction grading.Methods and results: Echocardiographic measures were used to derive an estimated PAWP (ePAWP) using

Predictive Monitoring of Large-Scale Engineering Assets Using Machine Learning Techniques and Reduced-Order Modeling

Structural health monitoring techniques aim at providing an automated solution to the threat of unsurveilled aging of structures that can have tremendous consequences in terms of fatalities, environmental pollution, and economic loss. To assess the state of damage of a complex structure, this paper proposes to fully characterize its behavior under multiple environmental and operational scenarios a

The role of semantically related gestures in the language comprehension of simultaneous interpreters in noise

Manual co-speech gestures can facilitate language comprehension, especially in adverse listening conditions. However, we do not know whether gestures influence simultaneous interpreters’ language comprehension in adverse listening conditions, and if so, whether this influence is modulated by interpreting experience, or by active simultaneous interpreting (SI). We exposed 24 interpreters and 24 bil

Mattering at the periphery : Geographies of peri-urban life and its discontents

I en tid av ökande social oro i periferierna av västeuropeiska ekonomier undersöker denna avhandling de levda erfarenheterna hos dem som bor i "platser som inte spelar någon roll." Genom att fokusera på de Gula Västarna i Frankrike, behandlar avhandlingen de socio-politiska missnöjena och aspirationerna hos invånarna i peri urban-områden, med syfte att förstå den komplexa strukturen av peri urbanaAmidst growing social unrest in the peripheries of Western European economies, this thesis investigates the lived experiences of those inhabiting “places that don’t matter.” Focusing on Yellow Vests activists in France, the thesis addresses the socio-political grievances and aspirations of peri-urban inhabitants, seeking to understand the complex fabric of peri-urban life and politics. This is don