jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Faisal Nabi | Carsten Maple
Source:  (article, 2026-03-11)
Field: Materials Science — Materials Chemistry

A Machine Intelligence Based Process of Reverse Engineering Through Rutherford Model; The Development of Nuclear Fuel propulsion Method Modern computing has changed the all old dimensions ,through scientific computing .A classic example of reverse engineering through scientific computing is remodel atomic theory E= .The transformation of organic chemistry in molecular form of energy c Reverse engineering ; Process (computing) ; Propulsion ; Transformation (genetics) ; Energy (signal processing) ; Process development ; Work in process ; Energy transformation Machine Learning in Materials Science ; Cold Fusion and Nuclear Reactions ; Knowledge Management and Technology
Authors: Helena Cristina Vasconcelos | Telmo Eleutério | Maria Gabriela Meirelles
Source: Preprints.org (preprint, 2026-01-08)
Field: Materials Science — Surfaces, Coatings and Films

A Field-Driven Growth Model for Uniform Thin-Film Growth Externally applied electric fields are widely employed during thin-film deposition to im-prove film uniformity, texture and densification. Despite extensive experimental evidence, the physical mechanisms by which such fields influence nucleation, surface diffusion, is-land coalescence and interface stability remain theoretically fragmented. Classical thin-film growth models assume a field-free energetic landscape and therefore provide limited predictive guidance for field-assisted manufacturing strategies. In this work, we introduce the Field-Driven Growth Model (FDGM), a unified theoretical framework that incorporates field–matter interactions directly into the free-energy func-tional governing thin-film growth. By explicitly accounting for effective dipolar coupling arising from field-induced polarization of surface species, predominantly quadratic in the field amplitude and consistent with linear-response polarization, the model consistently modifies the fundamental processes of nucleation, surface diffusion and coalescence. At the continuum scale, the FDGM predicts a field-induced stabilization mechanism that suppresses long-wavelength roughening modes and defines a field-controlled morpho-logical crossover wavelength (field-controlled cutoff). The FDGM demonstrates that field-assisted nucleation bias, anisotropic surface diffusion, field-biased coalescence pathways and morphological stabilization are not independent phenomena, but multiscale manifestations of a single energy-minimization principle act-ing on a field-modified energy landscape. By providing analytical stability criteria and explicit links between external field parameters and morphological outcomes, the model establishes a predictive foundation for the manufacturing of thin films with improved uniformity in advanced thin-film-based devices. The framework is broadly applicable to deposition techniques such as sputtering, pulsed-laser deposition, chemical vapor depo-sition and atomic layer deposition. Coalescence (physics) ; Nucleation ; Surface diffusion ; Destabilisation ; Dipole ; Mathematical model ; Surface energy ; Stability (learning theory) ; Amplitude Optical Coatings and Gratings ; Electronic and Structural Properties of Oxides ; Fluid Dynamics and Thin Films
Authors: Salvador Miret-Artés | Elena Esther Torres
Source: Physical Chemistry Chemical Physics (article, 2026-01-01)
Field: Chemistry — Physical and Theoretical Chemistry

The characteristic function method in surface diffusion In surface diffusion, one of the key observables is the so-called intermediate scattering function which is measured directly from the helium spin echo surface technique. This function is shown to be a characteristic function of probability theory; in fact, it is the central dynamical measurement which clearly emphasizes that the relationship between the structure and dynamical process is a central goal in condensed matter physics. It is also the generating function of the moments and cumulants of the jump distribution function at any order; in particular, the second order which is related to the diffusion coefficient. Furthermore, the frequency moments or sum rules are also calculated from this scattering function and are written in terms of the total jumping rate. The role played by this function, when helium atoms are used for probing adsorbates (here we assume non-interacting adsorbates or very low surface coverages), is essential to clearly show some important differences with respect to neutron scattering. In order to illustrate this new approach, the method of the characteristic function, we have focused on the incoherent tunneling of H and D on a Pt(111) surface. This analysis has led us to some discrepancies with respect to the diffusion coefficient values previously reported. Finally, an extension to jumps beyond nearest neighbors is also considered theoretically. Surface (topology) ; Observable ; Function (biology) ; Diffusion ; Scattering ; Helium Advanced Physical and Chemical Molecular Interactions ; Quantum, superfluid, helium dynamics ; NMR spectroscopy and applications
Authors: Esmaeal Ghavanloo | P. Fritsch | Patrizio Neff
Source: arXiv (Cornell University) (article, 2026-02-24)
Field: Materials Science — Materials Chemistry

Analytical solutions for long cylindrical shells under radial deformations based on the isotropic relaxed micromorphic continuum This study presents a closed-form analytical solution for the elastostatic response of long cylindrical shells composed of microstructured materials within the framework of the isotropic relaxed micromorphic continuum. The formulation accounts for microstructural effects by introducing an independent micro-distortion tensor field in addition to the classical displacement field. Under the assumptions of axisymmetric deformation and plane strain conditions, the governing equilibrium equations reduce to a coupled system of ordinary differential equations in the radial coordinate. By introducing suitable auxiliary variables, the system is reformulated into a non-homogeneous modified Bessel equation, which admits an exact analytical solution. Explicit expressions are derived for the radial displacement field and the non-zero components of the micro-distortion tensor. Numerical examples are presented to illustrate the influence of material parameters and the characteristic length on the displacement. The results demonstrate that the relaxed micromorphic model predicts deviations from classical elasticity where microstructural effects are more pronounced. The obtained solution provides valuable physical insight into the mechanics of cylindrical shells and serves as a benchmark for validating numerical implementations of relaxed micromorphic models. Isotropy ; Displacement field ; Bessel function ; Elasticity (physics) ; Rotational symmetry ; Ordinary differential equation ; Plane stress ; Continuum mechanics ; Field (mathematics) Nonlocal and gradient elasticity in micro/nano structures ; Composite Structure Analysis and Optimization ; Composite Material Mechanics
Authors: Helena Cristina Vasconcelos | Telmo Eleutério | Maria Gabriela Meirelles
Source: Micromachines (article, 2026-02-06)
Field: Materials Science — Surfaces, Coatings and Films

A Field-Driven Growth Model for Uniform Thin-Film Growth Externally applied electric fields are widely employed during thin-film deposition to improve film uniformity, texture and densification. Despite extensive experimental evidence, the physical mechanisms by which such fields influence nucleation, surface diffusion, island coalescence and interface stability remain theoretically fragmented. Classical thin-film growth models assume a field-free energetic landscape and therefore provide limited predictive guidance for field-assisted manufacturing strategies. In this work, we introduce the Field-Driven Growth Model (FDGM), a unified theoretical framework that incorporates field-matter interactions directly into the free-energy functional governing thin-film growth. By explicitly accounting for effective dipolar coupling arising from field-induced polarization of surface species, predominantly quadratic in the field amplitude and consistent with linear-response polarization, the model consistently modifies the fundamental processes of nucleation, surface diffusion and coalescence. At the continuum scale, the FDGM predicts a field-induced stabilization mechanism that suppresses long-wavelength roughening modes and defines a field-controlled morphological crossover wavelength (field-controlled cutoff). The FDGM demonstrates that field-assisted nucleation bias, anisotropic surface diffusion, field-biased coalescence pathways and morphological stabilization are not independent phenomena, but multiscale manifestations of a single energy-minimization principle acting on a field-modified energy landscape. By providing analytical stability criteria and explicit links between external field parameters and morphological outcomes, the model establishes a predictive foundation for the manufacturing of thin films with improved uniformity in advanced thin-film-based devices. The framework is broadly applicable to deposition techniques such as sputtering, pulsed-laser deposition, chemical vapor deposition and atomic layer deposition. Coalescence (physics) ; Surface diffusion ; Nucleation ; Dipole ; Destabilisation ; Surface energy ; Amplitude ; Crossover ; Instability ; Stability (learning theory) Optical Coatings and Gratings ; Electronic and Structural Properties of Oxides ; Semiconductor materials and devices
Authors: R. V. Vovk | Waldemar Samociuk | E. S. Hevorkian | V. P. Nerubatskyi | V. O. Chyshkala | H. L. Komarova | L. V. Voloshyna
Source: Low Temperature Physics (article, 2026-04-01)
Field: Materials Science — Ceramics and Composites

Modeling of density estimation during sintering of zirconium dioxide by the method of electroconsolidation The paper presents the results of numerical modeling of the compaction and grain growth processes of powder materials based on zirconium dioxide ZrO2 during electroconsolidation. The theoretical basis is the Skorokhod–Olevskyi–Shtern model, which describes the kinetics of compaction and the evolution of microstructure. The model parameters were identified based on experimental data on the changes in temperature, relative density, and axial stress of samples with a composition ZrO2 + 3 mol % Y2O3. A specialized computer program was developed, which allowed a series of numerical experiments to be performed and the simulation results to be compared with actual sintering data. It was found that the calculated density change curves closely match the experimental results, confirming the adequacy of the model used. It has been shown that grain growth significantly affects the final stages of the process, but the final density is largely determined by the isothermal holding mode and the level of pressure applied. It has been demonstrated that increasing the pressure allows to achieve high density even without significantly prolonging the process time. The developed approach provides the ability to predict the density, grain size, and mechanical properties of sintered samples. The practical significance of the work lies in the fact that the proposed method can be used to optimize electroconsolidation modes, reduce energy consumption, and improve the quality of ceramic zirconium composites. Compaction ; Zirconium dioxide ; Sintering ; Isothermal process ; Ceramic ; Relative density ; Zirconium ; Work (physics) Advanced ceramic materials synthesis ; Powder Metallurgy Techniques and Materials ; Polymer Science and Applications
Authors: Alexandros T. Oratis | Matteo Camagna | T. J. J. M. van Overveld | Valeria Garbin
Source: arXiv (Cornell University) (article, 2026-04-07)
Field: Materials Science — Materials Chemistry

Diffusion from particle-coated drops: the subtle role of particle size Many natural and industrial systems involve particle-laden interfaces. Because interfacial particles prevent the coalescence and coarsening of drops, they hold promise for various applications requiring stable emulsions. Despite their remarkable ability to stabilize emulsions, it remains challenging to characterize how particles influence the interfacial transport of dissolved solutes. Here, we quantify the diffusion from a single particle-coated drop by confining it to a two-dimensional configuration. Using fluorescence microscopy, we extract the intensity profiles of the fluorescent dye as it diffuses from the drop, yielding spatio-temporal measurements of the concentration field. Over a range of particle sizes, the particles impose minimal resistance to diffusion. We rationalize this counterintuitive result with a mathematical model that couples interfacial mass transfer to a particle-coated interface. We show that the particle monolayer controls the temporal dynamics of the flux across the interface, hindering transport only at extreme coverage fractions beyond the close-packing limit. This framework reveals why particles often fail to hinder diffusion, offering new pathways to harness mass transfer in particle-stabilized emulsions. Coalescence (physics) ; Mass transfer ; Particle (ecology) ; Diffusion ; Particle size ; Drop (telecommunication) ; Mass transport Pickering emulsions and particle stabilization ; Fecal contamination and water quality ; Innovative Microfluidic and Catalytic Techniques Innovation
Authors: Anda Zvaigzne | Lauma Laipniece | Lienite Litavniece | Kristīne Lazdoviča | Nina Wieda | Inta Kotāne | Inese Silicka | Elīna Sīle | Anastasija Gaile | Jeļena Lonska
Source: Sustainability (article, 2026-02-01)
Field: Chemistry — Organic Chemistry

Assessment of Rapeseed Soapstock as a Potential Source of Lecithin for Food Industry Applications The present research assesses the potential of rapeseed oil soapstock for producing lecithin and its application in the food industry in the context of the circular economy and bioeconomy. The theoretical part summarizes information on the types of lecithin and its production technologies and functional properties, while the empirical part combines semi-structured interviews with 30 experts and company representatives (in Latvia and abroad) and a laboratory experiment with rapeseed soapstock samples. The data provided by the experts were analyzed using descriptive statistics and thematic analysis, while the soapstock samples were tested for dry matter, lipid content, and lecithin and acid oil yield using the techniques of n-hexane Soxhlet extraction and fractionation with cold acetone. The experts’ ratings showed that rapeseed lecithin is technologically competitive with soybean and sunflower lecithin, especially to produce bread, flour confectionery, as well as oil and fat, thereby providing good emulsification capability, texture improvement, and stabilization. The highest potential for the introduction of rapeseed lecithin has been identified in the oil and fat, bread and flour confectionery segments, but wider use is currently hampered by high production costs and lower market visibility. This research demonstrated the practical possibility of isolating lecithin from rapeseed oil soapstock. The laboratory experiment revealed that it is possible to obtain lecithin from rapeseed soapstock in amounts of 1.4–5.2% of the total weight of soapstock (6.2–23.5% of dry matter), which confirmed the usability of rapeseed soapstock as a raw material for lecithin production. The results confirm that the use of rapeseed oil soapstock to produce lecithin can reduce the amount of industrial waste and increase resource efficiency, thus reducing dependence on imported soybean lecithin. Rapeseed lecithin can be found as a sustainable alternative to soybean and sunflower lecithin with potential for oil and fat and bread production. Rapeseed ; Lecithin ; Context (archaeology) ; Raw material ; Food industry ; Sunflower oil ; Fractionation Edible Oils Quality and Analysis ; Thermochemical Biomass Conversion Processes ; Biodiesel Production and Applications
Authors: Taewoong Yoon | Sangwon Oh | Junghyun Lee | Hyunyong Choi
Source: arXiv (Cornell University) (article, 2026-02-19)
Field: Materials Science — Materials Chemistry

Mesoscopic Spin Coherence in a Disordered Dark Electron Spin Ensemble Harnessing dipolar spin environments as controllable quantum resources is a central challenge in solid-state quantum technologies. Here, we report the observation of a coherent mesoscopic spin state in a disordered ensemble of substitutional nitrogen (P1) centers in diamond. An iterative Hartmann-Hahn protocol transfers polarization from dense nitrogen-vacancy (NV) centers to a P1 ensemble, yielding a 740-fold enhancement over room-temperature thermal equilibrium as revealed by differential readout. The resulting mesoscopic P1 spin ensemble exhibits collective Rabi oscillations and long-lived spin-lock and Hahn-echo coherences. We identify a crossover in the saturation polarization arising from the competition between coherent driving and local disorder, providing a quantitative measure of the system's intrinsic disorder. These results establish a foundation for utilizing dark electron spin ensembles as robust resources for quantum sensing and quantum many-body simulation. Mesoscopic physics ; Coherence (philosophical gambling strategy) ; Quantum ; Spin (aerodynamics) ; Dipole ; Spin polarization ; Electron ; Polarization (electrochemistry) Diamond and Carbon-based Materials Research ; Quantum and electron transport phenomena ; Mechanical and Optical Resonators
Authors: Renbin Zhou | Shengcong Lin
Source: Mechanics & Industry (article, 2026-01-01)
Field: Materials Science — Surfaces, Coatings and Films

Design of a distributed negative-pressure adsorption robot for energy-efficient closed-loop cleaning based on FSI and multi-physics optimization To address the critical need for efficient and safe maintenance of high-rise glass curtain walls, this study presents an energy-efficient closed-loop cleaning system for distributed negative-pressure adsorption robots. The design integrates a 4 × 6 cm distributed suction array (total area 113.2 cm 2 ) and a triangular polyurethane scraper (modified with 5% nano-silica), and is validated through fluid-structure interaction (FSI) analysis. Based on the dynamic equilibrium framework of modular robots, a novel 3D mechanical model with a yaw angle ( θ = 15) reveals that the distributed adsorption can reduce the theoretical extreme adsorption force from 83.3 N to an engineering-feasible 29.4 N, with a reduction of 66.1% in required negative pressure (from 7370 Pa to 2500 Pa) and energy consumption. The multi-physics coupling analysis (fluid dynamics and solid mechanics) demonstrates that: ① Through optimized droplet atomization (Lechler nozzle, 45 ± 5 μm) and biomimetic scraper, the waste liquid recovery efficiency is 86.7%; ② The lightweight centrifugal impeller design driven by FSI reduces the weight by 40% and reduces the stress from 84.37 MPa to 68.5 MPa; ③ 120% flow redundancy (3.52 mL/min recycling and 2.93 mL/min supply) is addressed. This work bridges the gap between theoretical adsorption requirements and practical implementation, providing a standardized energy-saving solution for high-altitude cleaning robots. Redundancy (engineering) ; Adsorption ; Modular design ; Robot ; Impeller ; Coupling (piping) ; Work (physics) ; Efficient energy use Surface Modification and Superhydrophobicity ; Minerals Flotation and Separation Techniques ; Nanomaterials and Printing Technologies
Authors: Faiz Rahman Ishaqzai | Muhammed Deniz | Kevin Kröninger | Jens Weingarten
Source: Diamond and Related Materials (article, 2026-03-21)
Field: Materials Science — Materials Chemistry

Review and modeling of charge carrier mobility in diamond Reported electron and hole mobilities, and their saturation velocities, in diamond span orders of magnitude across the literature. We attribute this dispersion primarily to (i) the electric-field window probed in TCT measurements, (ii) the choice of mobility model, and (iii) the excitation source (alpha, laser, or electron). Using an aggregated literature dataset, we benchmark the Trofimenkoff and Caughey-Thomas parameterisations together with a new piecewise model for both conduction- and valence-band transport. For electrons, the piecewise model provides the best global description over a broad electric-field range and is shown to arise as the room-temperature limit of a more general superposition framework that explicitly incorporates intervalley repopulation in the conduction band. For holes, the Caughey-Thomas model remains the statistically preferred description, in line with the absence of a strong repopulation effect in the accessible data. Furthermore, we demonstrate a systematic source dependence (alpha versus laser) and quantify its impact on fitted mobility and saturation-velocity values. We provide temperature scalings over narrow intervals around room temperature and recommend parameter sets for implementation in device and detector simulation frameworks. Together, these results reconcile much of the apparent inconsistency in the literature and offer clear guidance for model selection, experimental design, and device-level simulation of charge transport in intrinsic diamond. Diamond ; Charge carrier ; Charge (physics) ; Chemical vapor deposition ; Electron mobility Diamond and Carbon-based Materials Research ; Advanced Materials and Semiconductor Technologies ; Advancements in Semiconductor Devices and Circuit Design
Authors: Yimiao Zhang
Source: Academic Journal of Science and Technology (article, 2026-03-30)
Field: Materials Science — Metals and Alloys

Finite Element Simulation Analysis of Hydrogen Permeation in 80S Steel Hydrogen embrittlement poses a serious challenge for high-strength steels (such as 80S steel) when used in hydrogen-containing environments. When hydrogen atoms diffuse into the steel, they can cause local plastic deformation, lattice distortion and even crack propagation, thereby significantly reducing the material’s toughness and load-bearing capacity. Research indicates that hydrogen embrittlement is one of the primary safety hazards associated with the use of high-strength alloys and hydrogen transmission pipelines. The finite element method has become an essential tool for investigating hydrogen diffusion and the mechanisms of hydrogen embrittlement; numerical simulations can reveal the diffusion behaviour of hydrogen in metals, stress-strain interactions, and their effects on microstructure and mechanical properties. In this paper, ABAQUS software is employed to simulate and analyse the hydrogen concentration distribution in 80S steel under different hydrogen charging conditions, based on hydrogen diffusion theory and mechanical models, with the aim of investigating the mechanism of hydrogen permeation and providing a reference for the design of high-strength steel to resist hydrogen embrittlement. Hydrogen embrittlement ; Hydrogen ; Finite element method ; Microstructure ; Embrittlement ; Diffusion Hydrogen embrittlement and corrosion behaviors in metals ; Material Properties and Failure Mechanisms ; Mechanical stress and fatigue analysis