jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Tianyi Chu | Jonathan B. Estrada | Spencer H. Bryngelson
Source: arXiv (Cornell University) (preprint, 2024-08-15)
Field: Materials Science — Materials Chemistry

Bayesian optimal design accelerates discovery of material properties from bubble dynamics An optimal sequential experimental design approach is developed to computationally characterize soft material properties at the high strain rates associated with bubble cavitation. The approach involves optimal design and model inference. The optimal design strategy maximizes the expected information gain in a Bayesian statistical setting to design experiments that provide the most informative cavitation data about unknown soft material properties. We infer constitutive models by characterizing the associated viscoelastic properties from measurements via a hybrid ensemble-based 4D-Var method (En4D-Var). The inertial microcavitation-based high strain-rate rheometry (IMR) method ([1]) simulates the bubble dynamics under laser-induced cavitation. We use experimental measurements to create synthetic data representing the viscoelastic behavior of stiff and soft polyacrylamide hydrogels under realistic uncertainties. The synthetic data are seeded with larger errors than state-of-the-art measurements yet match known material properties, reaching 1% relative error within 10 sequential designs (experiments). We discern between two seemingly equally plausible constitutive models, Neo-Hookean Kelvin--Voigt and quadratic Kelvin--Voigt, with a probability of correctness larger than 99% in the same number of experiments. This strategy discovers soft material properties, including discriminating between constitutive models and discerning their parameters, using only a few experiments. Bubble ; Bayesian probability ; Dynamics (music) ; Computer science ; Physics ; Artificial intelligence Machine Learning in Materials Science
Authors: Tian-Yue Chen | Haowen Ren | Nareg Ghazikhanian | Ralph El Hage | Dayne Sasaki | Pavel Salev | Yayoi Takamura | Iván K. Schuller | Andrew D. Kent
Source: arXiv (Cornell University) (preprint, 2024-06-17)
Field: Materials Science — Materials Chemistry

Voltage control of spin resonance in phase change materials Metal-insulator transitions (MITs) in resistive switching materials can be triggered by an electric stimulus that produces significant changes in the electrical response. When these phases have distinct magnetic characteristics, dramatic changes in spin excitations are also expected. The transition metal oxide La0.7Sr0.3MnO3 (LSMO) is a ferromagnetic metal at low temperatures and a paramagnetic insulator above room temperature. When LSMO is in its metallic phase a critical electrical bias has been shown to lead to an MIT that results in the formation of a paramagnetic resistive barrier transverse to the applied electric field. Using spin-transfer ferromagnetic resonance spectroscopy, we show that even for electrical biases less than the critical value that triggers the MIT, there is magnetic phase separation with the spin-excitation resonances varying systematically with applied bias. Thus, applied voltages provide a means to alter spin resonance characteristics of interest for neuromorphic circuits. Phase control ; Resonance (particle physics) ; Phase (matter) ; Spin (aerodynamics) ; Phase change ; Voltage ; Control (management) ; Condensed matter physics ; Nuclear magnetic resonance ; Physics ; Materials science ; Computer science ; Engineering physics ; Atomic physics ; Quantum mechanics ; Thermodynamics Phase-change materials and chalcogenides ; Solid-state spectroscopy and crystallography
Authors: Trung-tin Dinh | Hervé Carfantan | Antoine Monmayrant | Simon Lacroix
Source:  (article, 2024-12-09)
Field: Chemistry — Analytical Chemistry

Statistical Tests for Hyperspectral Coded Data Unsupervised Classification We propose a novel method for unsupervised classification of coded hyperspectral acquisitions using a DD-CASSI (Double Disperser - Coded Aperture Spectral Snapshot Imager) system, which reduces the number of required acquisitions, typically by an order of magnitude. Leveraging the Separability Assumption (SA) and non-parametric Gaussianity statistical tests, our approach identifies homogeneous regions, which are areas of pixels made of the same material, and determines their unique spectral signatures directly from the coded measurements. By combining these statistical tests with spatial characteristics from panchromatic images, our iterative method effectively classifies regions without reconstructing the entire hyperspectral cube. This approach demonstrates the potential for accurate classification with minimal data, paving the way for optimized hyperspectral data analysis. Hyperspectral imaging ; Computer science ; Artificial intelligence ; Pattern recognition (psychology) ; Data mining Spectroscopy and Chemometric Analyses ; Remote-Sensing Image Classification ; Advanced Statistical Methods and Models
Authors: Alexander G. Stepanov | Leo Bogdanov | K. Yu. Klyshnikov | Е. А. Овчаренко | Л. В. Антонова | E. O. Krivkina | Anton G. Kutikhin
Source: Atherosclerosis (article, 2024-08-01)
Field: Materials Science — Biomaterials

Development of an artificial intelligence tool for the automated annotation of microvessels in tissue-engineered vascular grafts Annotation ; Computer science ; Biomedical engineering ; Artificial intelligence ; Medicine Electrospun Nanofibers in Biomedical Applications ; Cardiac and Coronary Surgery Techniques
Authors: Ji Su Kang | Jae Hak Cheong
Source: Kerntechnik (article, 2024-08-16)
Field: Materials Science — Materials Chemistry

A new approach to determine abnormality of radioactive discharges from pressurized water reactors and to derive abnormality indicators correlated with a specific causal event Abstract A novel methodology to analyze the trend of radioactive effluent data from nuclear power plants (NPPs) has been proposed to estimate the possibility of abnormal releases of radioactive materials, and to identify sensitive radionuclides with high correlation to specific events and abnormal releases. Actual discharge data including abnormal releases for 21 years (1,610 reactor-years) from 62 US and 22 Korean pressurized water reactors were collected. A release correlation factor (RCF) was newly proposed as a quantitative indicator of the abnormality of radioactive discharges based on annual discharge data from each NPP. The probability of correct estimation of abnormality using the RCF for a test case ranges 27–36 %, and such a modest estimation power was ascribed to the relatively low contribution (i.e., about 12 %) of a specific causal event to the annual radioactivity release. Through this, the feasibility of the RCF for estimating the abnormality of radioactive discharges was demonstrated. The RCF was derived for three types of causal events, and subsequently the sensitive radionuclides to each specific event were derived as 88 Kr, 137 Xe, and 138 Xe for leakage from gas decay tank, 3 H for leakage from steam generator’s power operated relief valve, and 85 Kr, 88 Kr, 133 Xe, 133m Xe, 3 H and 14 C for leakage from defected spent fuel during handling. The new approach proposed in this study is to be used to suppose the significant unreported abnormality in radioactive effluent data and the potential causal event, which may contribute to improving the safety and performance of radioactive effluent control as necessary. Abnormality ; Event (particle physics) ; Pressurized water reactor ; Environmental science ; Nuclear engineering ; Medicine ; Physics Graphite, nuclear technology, radiation studies ; Risk and Safety Analysis ; Nuclear and radioactivity studies
Authors: Cong Jin | Jinjie Huang | Yuanjian Chen | Yuqing Gong
Source: Computers, materials & continua/Computers, materials & continua (Print) (article, 2024-01-01)
Field: Materials Science — Materials Chemistry

Enhanced Differentiable Architecture Search Based on Asymptotic Regularization In differentiable search architecture search methods, a more efficient search space design can significantly improve the performance of the searched architecture, thus requiring people to carefully define the search space with different complexity according to various operations. Meanwhile rationalizing the search strategies to explore the well-defined search space will further improve the speed and efficiency of architecture search. With this in mind, we propose a faster and more efficient differentiable architecture search method, AllegroNAS. Firstly, we introduce a more efficient search space enriched by the introduction of two redefined convolution modules. Secondly, we utilize a more efficient architectural parameter regularization method, mitigating the overfitting problem during the search process and reducing the error brought about by gradient approximation. Meanwhile, we introduce a natural exponential cosine annealing method to make the learning rate of the neural network training process more suitable for the search procedure. Moreover, group convolution and data augmentation are employed to reduce the computational cost. Finally, through extensive experiments on several public datasets, we demonstrate that our method can more swiftly search for better-performing neural network architectures in a more efficient search space, thus validating the effectiveness of our approach. Computer science ; Overfitting ; Differentiable function ; Search algorithm ; Mathematical optimization ; Regularization (linguistics) ; Simulated annealing ; Architecture ; Beam search ; Convolutional neural network ; Random search ; Artificial neural network ; Artificial intelligence ; Algorithm ; Theoretical computer science ; Mathematics Machine Learning in Materials Science ; Domain Adaptation and Few-Shot Learning ; Machine Learning and Data Classification
Authors: Bijan Mazaheri | Chandler Squires | Caroline Uhler
Source: arXiv (Cornell University) (preprint, 2024-05-29)
Field: Chemistry — Organic Chemistry

Synthetic Potential Outcomes and Causal Mixture Identifiability Heterogeneous data from multiple populations, sub-groups, or sources is often represented as a ``mixture model'' with a single latent class influencing all of the observed covariates. Heterogeneity can be resolved at multiple levels by grouping populations according to different notions of similarity. This paper proposes grouping with respect to the causal response of an intervention or perturbation on the system. This definition is distinct from previous notions, such as similar covariate values (e.g. clustering) or similar correlations between covariates (e.g. Gaussian mixture models). To solve the problem, we ``synthetically sample'' from a counterfactual distribution using higher-order multi-linear moments of the observable data. To understand how these ``causal mixtures'' fit in with more classical notions, we develop a hierarchy of mixture identifiability. Economics Inorganic and Organometallic Chemistry
Authors: Eduardo Gonçalves Vieira Santos | Flávio Augusto Cavadas Andrade | Larissa Elizabeth Cordeiro Dantas | Thiago Borsoi Ribeiro | Amanda Maria Claro | Hernane da Silva Barud | Assis Vicente Benedetti | Cecílio Sadao Fugivara
Source: Revista Brasileira de Criminalística (article, 2024-07-15)
Field: Materials Science — General Materials Science

Caracterização físico-química e avaliação de sistemas de proteção contra corrosão de projéteis deflagrados por armas de fogo Nos laboratórios de balística, observa-se frequentemente que projéteis de armas de fogo têm sua integridade comprometida de forma irreversível, dificultando ou impedindo a realização dos exames de confronto balístico. A literatura científica que aborda as diferentes formas de proteção e armazenamento desses projéteis é escassa e de difícil acesso por se tratar, muitas vezes, de procedimentos não publicados. No presente trabalho, realizou-se a caracterização de três diferentes tipos de projéteis deflagrados por armas de fogo raiadas por Microscopia Eletrônica de Varredura (MEV), Espectrometria de Raios-X com Dispersão de Energia (EDX) e Difratometria de Raios-X (DRX) e analisou-se o efeito do recobrimento de tais projéteis com lubrificante anticorrosivo (WD) e parafina (PA) no aumento da resistência à oxidação/corrosão e na preservação dos elementos identificadores desses projéteis. A análise de corrosão foi feita pela comparação dos estriamentos antes e depois do revestimento dos projéteis submetidos a um ensaio de corrosão forçada. Os resultados obtidos sugerem que o recobrimento com parafina se mantém por mais tempo comparado à camada por WD, sendo ambos os recobrimentos alternativos eficazes, com metodologia simples e de baixo custo para preservação de projéteis deflagrados por armas de fogo por período superior a 33 dias. Physics ; Humanities ; Art Engineering and Material Science Research ; Forensic Fingerprint Detection Methods ; Electromagnetic Launch and Propulsion Technology
Authors: Tim van der Velden | Tim Brepols | Stefanie Reese | Hagen Holthusen
Source: PAMM (article, 2024-09-20)
Field: Materials Science — Materials Chemistry

A comparison of micromorphic gradient‐extensions for anisotropic damage Abstract The modeling of inelastic phenomena with tensor‐valued internal variables requires a regularization to counteract mesh dependence. Here, we consider the regularization of anisotropic damage at finite strains and seek for an efficient formulation based on a reduced number of nonlocal degrees of freedom. We, thus, equip the brittle version of an anisotropic model with different gradient‐extensions in the micromorphic framework using a full and a reduced regularization of the damage tensor. The models are compared in the structural simulation of an asymmetrically notched specimen with a perforated shear band section. High agreement is observed between the full and the reduced regularization with two nonlocal degrees of freedom. Furthermore, we present a novel study of the evolution of the reduced micromorphic field variables. Anisotropy ; Materials science ; Mathematics ; Physics ; Optics Nonlocal and gradient elasticity in micro/nano structures ; Composite Material Mechanics ; Numerical methods in engineering
Authors: Yiying Bian | Qiushuo Jin | Jinrui He | Thien Ngo | Ok‐Nam Bae | Jingbo Pi | Han Young Chung | Yuanyuan Xu
Source: Research Square (preprint, 2024-04-03)
Field: Materials Science — Materials Chemistry

Biomedical application of TiO2NPs can cause arterial thrombotic risks through triggering procoagulant activity, activation and aggregation of platelets Platelet ; Platelet activation ; Platelet aggregation ; Business ; Medicine ; Chemistry ; Pharmacology ; Internal medicine Advanced Nanomaterials in Catalysis ; Nanoparticles: synthesis and applications ; Electrochemical sensors and biosensors
Authors: Andreu Benavent‐Claró | Sergi G. Leyva | Ignacio Pagonabarraga | Rodrigo Ledesma‐Aguilar | A. Hernández‐Machado
Source: Langmuir (article, 2024-12-06)
Field: Materials Science — Surfaces, Coatings and Films

Enhanced Imbibition in Liquid-Infused Coated Microchannels Spontaneous capillary imbibition has the potential to improve the performance of many micro and nanodevices since it does not require an external energy source to drive a fluid flow. Despite this advantage, controlling and reducing the friction exerted by the channel walls, which limits the speed of the liquid, remains a challenge. Here, we demonstrate experimentally that infusing the walls of a channel with a liquid lubricant substantially speeds up the imbibition process and reduces the overall viscous friction. By varying the viscosity of the lubricant, we observe a substantial reduction of the imbibition time of up to 50%. Our experimental results are in good agreement with previous theoretical predictions, providing a solid framework to study low-resistance spontaneous imbibition processes. Imbibition ; Materials science ; Microfluidics ; Liquid liquid ; Chemical engineering ; Chromatography ; Chemistry ; Nanotechnology ; Engineering Surface Modification and Superhydrophobicity ; Nanofabrication and Lithography Techniques ; Nanomaterials and Printing Technologies
Authors: Chipp Jansen | Zhengtao Ma | L. Hatfield | Boyuan Tuo | Elif Özden Yenigün | Sharon Baurley | Stephen Jia Wang | Kun-Pyo Lee
Source:  (article, 2024-03-10)
Field: Materials Science — Polymers and Plastics

Textile Robotic Interaction for Designer-Robot Collaboration This late-breaking report describes lab-based robot experiments involving two robot arms scanning and interaction with a set of 12 novel sustainable materials programmed with handfeel gestures inspired by how designers evaluate textile materials. The aim of gathering this data is to spur research in robot perception of soft materials and to contribute towards human-robot collaborative design systems. The complete dataset including scanned images, video of interactions accompanied by the robot motion paths is available with code at https://github.com/rca-msrc/textile-robotic-interaction-HRI2024. Robot ; Textile ; Gesture ; Computer science ; Human–computer interaction ; Set (abstract data type) ; Artificial intelligence ; Human–robot interaction ; Code (set theory) ; Perception ; Robot kinematics ; Computer vision ; Mobile robot Textile materials and evaluations ; Additive Manufacturing and 3D Printing Technologies ; Architecture and Computational Design
Authors: Nidhi R. Chandarana | Prasit Girish Agnihotri
Source: International Journal of Engineering (article, 2024-01-01)
Field: Materials Science — Materials Chemistry

Experimental Investigation on Hard Rock Strata for the purpose of Ground Water Improvement with the inclusion of Bore Blasting Technique Due to yearly uneven rainfall distribution, exsiccation of water availability, specifically during the summer in the agricultural field in Saurashtra, is a usual scenario. Saurashtra region's land formation contains Basalt rock. The area is categorized under the semi-arid region. Hence, the Groundwater condition was observed to be poor as the self-characteristic of land for water-storage capacity for the Basalt is negligible within its strata. Mining Engineering and Groundwater Improvement Techniques were incorporated to find a way out of water stress conditions. An experimental study was carried out for mass blasting with the permission of the Government body and an expert team of mining explosions at the study area within the catchment of check dams and river beds. A group containing five borewells was blasted at a 27, 18, and 9 m depth, respectively. In each borehole, 15 blasts of 2.76 unit explosion were exploded together by sealing a cover of sand over it. The impact assessment of 30 wells was monitored Post-blast within the range of 400m of the Bore Blasting Technique (BBT) performed. As a result, a rise in water level up to 19m has been recorded near the streamline of BBT performed. In addition, the movement of the water was diverted from its parental aquifer to the observed dug wells. Hence, it is concluded that channelizing the groundwater can be possible by incorporating BBT in the basalt region, and identical improvement can also possible interms of fractured basalt rock and availability of water in the basalt region. Saurashtra ; Groundwater ; Geology ; Basalt ; Borehole ; Aquifer ; Rock blasting ; Hydrology (agriculture) ; Water level ; Mining engineering ; Water table ; Geochemistry ; Geotechnical engineering ; Geography High-Velocity Impact and Material Behavior ; Geophysical Methods and Applications ; Structural Response to Dynamic Loads
Authors: Aneesh V. Veluthandath | Waseem Ahmed | Ahilanandan Dushianthan | Anthony D. Postle | James S. Wilkinson | Ganapathy Senthil Murugan
Source:  (article, 2024-01-01)
Field: Materials Science — Biomaterials

Characterization of Binary Liposome with Raman Spectroscopy for Targeted Nanomedicine Liposomes are versatile nanocarriers vital for targeted drug delivery in nanomedicine. Understanding their composition is crucial for precise delivery and assessing carrier quality. Our study demonstrates Raman spectroscopy's effectiveness in assessing binary liposome lipid composition. Nanomedicine ; Raman spectroscopy ; Characterization (materials science) ; Liposome ; Materials science ; Nanotechnology ; Spectroscopy ; Nanoparticle ; Physics ; Optics Nanoparticle-Based Drug Delivery ; Spectroscopy Techniques in Biomedical and Chemical Research ; RNA Interference and Gene Delivery
Authors: R. H. Drebotiy | H. А. Shynkarenko
Source: Journal of Applied and Numerical Analysis (article, 2024-12-16)
Field: Materials Science — Materials Chemistry

Modified heuristic criterion for parameter choice for one stabilization scheme of the finite element method We consider a modi cation to a heuristic criterion for the optimal choice of the stabilization parameter in a certain nite element scheme for the singularly perturbed di usion-advectionreaction problem. This criterion is based on a minimization problem of the function of the stabilization parameter and the corresponding algorithm for nding the minimum. The function generally exhibits two extremum points: a local minimum and a local maximum. This forces the algorithm to repeatedly use an additional controlled heuristic "try-and-check" procedure, which can be ine cient in some cases. In this article, we propose simple heuristic modi cations to the criterion to eliminate the second maximum point, making ordinary bisection method applicable to the minimum- nding procedure. Scheme (mathematics) ; Finite element method ; Mathematics ; Heuristic ; Mathematical optimization ; Applied mathematics ; Mathematical analysis ; Engineering ; Structural engineering Structural mechanics and materials ; Material Science and Thermodynamics ; Geotechnical and Geomechanical Engineering
Authors: V.V. Ovchinnikov | I. A. Kurbatova | N.V. Uchevatkina | S. V. Yakutina
Source:  (article, 2024-12-11)
Field: Materials Science — Materials Chemistry

EVOLUTION OF THE COMPOSITION OF THE ION-DOPED LAYER OF TITANIUM ALLOY VT6 AFTER IRRADIATION WITH ARGON IONS These Forum Proceedings combine materials of the conference -research papers and thesis reports of scientific workers.They examines tecnical and sociological issues of research issues.Some articles deal with theoretical and methodological approaches and principles of research questions of personality professionalization.Authors are responsible for the accuracy of cited publications, facts, figures, quotations, statistics, proper names and other information. Argon ; Ion ; Doping ; Alloy ; Irradiation ; Materials science ; Titanium ; Layer (electronics) ; Composition (language) ; Chemical engineering ; Metallurgy ; Optoelectronics ; Chemistry ; Nanotechnology ; Atomic physics ; Physics ; Nuclear physics Titanium Alloys Microstructure and Properties