jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Shuo Liu | Yuhao Ma | Hitesh J. Changlani | Philip W. Phillips | B. Andrei Bernevig
Source: ArXiv.org (article, 2026-04-02)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Transport and Temperature 1: Exact spectrum and resistivity for the one-dimensional infinite-$U$ Hubbard model Understanding charge transport in strongly correlated systems remains a central challenge in condensed matter physics, particularly in light of the ubiquitous linear-in-$T$ resistivity observed in strange metals across many platforms from bulk cuprates to twisted bilayer graphene. Here, we investigate charge transport in the one-dimensional Hubbard model in the infinite-interaction limit. Focusing on the dilute limit with a fixed number of doped holes, we first construct the exact \emph{and explicit - i.e. beyond Bethe ansatz} energy spectrum and then derive a closed-form analytical expression for the charge Drude weight at arbitrary temperatures. We further analyze the low-temperature scaling and identify a linear-in-$T$ correction to the Drude weight. Upon regularizing the singular Drude contribution to the DC conductivity, we find that this behavior corresponds to an effective linear-in-$T$ resistivity, which may provide analytical insight into the emergence of strange-metal transport in two-dimensional strongly correlated systems. Hubbard model ; Charge (physics) ; Scaling ; Cuprate ; Electrical resistivity and conductivity ; Drude model ; Spectrum (functional analysis) ; Limit (mathematics) Organic and Molecular Conductors Research ; Quantum and electron transport phenomena ; Graphene research and applications
Authors: Meng-Yao Xi | Jun-Feng Lai
Source: Thermal Science (article, 2026-01-01)
Field: Materials Science — Polymers and Plastics

Research and comparison of imputation methods of three parameter Weibull distribution with missing warp breakage data Warp breakage data is a critical metric for assessing the durability of warp yarns, which typically follows a Weibull distribution. The three-parameter Weibull distribution is a prevalent distribution in which scale, position, and shape parameters influence the statistical information of the distribution. The confidence interval is the degree to which the true value has a certain probability of falling around the measurement result, and it is important statistical information. In instances where the calculation of the confidence interval of a Weibull distribution is performed in the presence of missing data, employing solely complete data estimation can lead to the introduction of bias. However, in the context of missing data, the utilization of bootstrap interpolation has been demonstrated to yield outcomes that are often superior to those obtained through unprocessed data. The specific process entails the simulation of the Weibull dataset, incorporating random missing values of 5%, 20%, 50%, and 75%, and the subsequent comparison of the results of calculating confidence intervals using not missing and Bootstrap interpolation. The experimental results demonstrate that the presence of missing data exerts a negligible influence on the extent of confidence intervals, and the Bootstrap interpolation method yields values that approximate the median. This phenomenon results in an overall scarcity of discrete data. The experiment was verified using real warp fracture data, and the results were essentially consistent with the simulation experiment. Weibull distribution ; Missing data ; Confidence interval ; Imputation (statistics) ; Interpolation (computer graphics) ; Breakage Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Mechanical Behavior of Composites
Authors: Tang Jiaxuan | LIU Ping | ZHANG Huanyu | WU Xiaofei | FENG Wanxiang | XU Ruirui
Source: Acta Physica Sinica (article, 2026-01-01)
Field: Materials Science — Materials Chemistry

First-Principles Investigation of Quantum Effects and Thermal Scattering Laws of Zirconium Hydride 氢化锆作为一种广泛应用的慢化剂材料，其热散射律数据对于反应堆设计具有重要影响。现有基于晶格动力学或分子动力学的第一性原理计算通常基于简谐近似或经典力学，未考虑氢原子显著的量子非谐性。本文采用了一种结合准谐近似、多项式机器学习势、随机自洽谐波近似的计算方法，系统研究了量子效应对氢化锆的声子态密度和热散射律数据的影响。研究表明，仅考虑量子效应对晶格体积膨胀的准谐近似会导致声子态密度软化；而进一步引入随机自洽谐波近似的量子修正后，该软化趋势会受到明显抑制。对于ϵ-ZrH2，相较于简谐近似，引入量子效应后的声子态密度与实验数据的一致性显著提升，对圆柱形与平板状样品实验数据的χ<sup>2</sup>分别降低了64.1%与37.7%。基于量子效应的声子态密度计算得到的氢化锆的双微分散射截面峰位与ENDF/B-VIII.1评价库更为一致，计算的总散射截面在趋势上与现有理论结果相符，且与实验测量值展现出良好的一致性。此外，临界基准验证表明，考虑量子效应能在部分工况下进一步改善<i>k</i><sub>eff</sub>的计算精度。本文数据集可在科学数据银行数据库中https://doi.org/10.57760/sciencedb.33601访问获取(审稿阶段请通过私有访问链接https://www.scidb.cn/s/fAF3I3查看本文数据集)。 Zirconium ; Scattering ; Thermal ; Quantum ; Hydride ; Zirconium hydride Nuclear Materials and Properties ; Thermal and Kinetic Analysis ; Thermodynamic and Structural Properties of Metals and Alloys
Authors: Heba G. Mohamed | Darius Anriukaitis | Jaromír Konecny | Mohd Aliff Sani | Hung Tran-Huy | Anh Nguyen-Quang | Iyas Qaddara | Michal Prauzek
Source: Frontiers in Physics (article, 2026-04-10)
Field: Materials Science — Electronic, Optical and Magnetic Materials

A novel metasurface structure for oblique incidence absorption and ultrawideband transmission based on Haxagonal metal rings and epoxy laminate Introduction Metamaterials progressed greatly due to groundbreaking studies on composite media that show both negative permeability and permittivity at the same time. This study has significantly improved our understanding of materials that can surpass the electromagnetic properties of standard substances, thereby transcending the constraints imposed by their intrinsic electromagnetic features. They have attracted considerable interest owing to their remarkable ability to manipulate EM waves through subwavelength structures organized in precise configurations. These materials are famous for their unique electromagnetic characteristics, such as negative index refraction, super-resolution imaging, and perfect absorption. The effective characteristics of metamaterials can be tailored to fulfill particular application needs—like obtaining negative permittivity and permeability—by adjusting the dimensions of a unit cell. With the EM environment becoming more complex, challenges to EM protection are increasing. Microwave absorbers made from metamaterials have come to represent a viable option for stealth technology, as they employ custom-designed structures to absorb electromagnetic waves. As two-dimensional metamaterials, metasurfaces control incident waves precisely through periodic unit designs. Methods This paper proposes a novel metasurface structure for absorbing oblique incident EM waves. The design composed of double layer metamaterial where the first layer consists of fiber glass which is enforced by epoxy laminate. The second layer is made up of irregular metal patches and linked by metal rings and chip resistors. Results and Discussion Simulation results show that the proposed metasurface has better absorption capability as compared with existing designs. Metamaterial ; Permittivity ; Electromagnetic radiation ; Microwave ; Absorption (acoustics) ; Transmission (telecommunications) ; Metamaterial absorber ; Layer (electronics) ; Attenuation Electromagnetic wave absorption materials ; Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies
Authors: Xuechun Han | Hengdong Song | Shan Gao | Jun Yan | Xuefei Huang
Source: Research Square (preprint, 2026-04-07)
Field: Materials Science — Materials Chemistry

Temperature Rise Characteristics of UHV AC Composite Insulators under Type Fault Conditions Deflection (physics) ; Composite number ; Deflection angle ; Temperature measurement ; Atmospheric temperature range High voltage insulation and dielectric phenomena ; Thermal Analysis in Power Transmission ; High-Voltage Power Transmission Systems
Authors: Zulqarnain Ali
Source: Preprints.org (preprint, 2026-02-27)
Field: Materials Science — Materials Chemistry

Semantic Thermodynamics of Transformer Architectures: A Framework for Understanding Hallucination Constraints We develop \emph{Semantic Thermodynamics}, an information-theoretic framework for analyzing hallucinations in transformer systems under finite resources. The central object is mutual information between latent facts and model outputs, together with Fano-style lower bounds on semantic error. We clarify the stochastic assumptions required for non-degenerate information measures, distinguish true data-generating uncertainty from model-implied uncertainty, and replace unsupported hard capacity formulas with explicit capacity surrogates tied to precision, context budget, and effective representational rank. Under standard identification assumptions, we derive a baseline bound \begin{equation*} H_R \geq \max\left\{0,\,1-\frac{I(F;Y)+1}{\log M}\right\}, \end{equation*} where $H_R$ is hallucination rate, $F$ is the latent semantic fact, $Y$ is model output, and $M$ is semantic cardinality. We also provide a distribution-dependent variant and a bottleneck-aware extension for retrieval-augmented generation. This paper contributes a mathematically consistent formulation, a tighter assumptions section, and concrete empirical protocols for estimation and falsification. Transformer ; Object (grammar) ; Context (archaeology) ; Mutual information ; Extension (predicate logic) ; Semantic similarity ; Identification (biology) Machine Learning in Materials Science ; Big Data and Digital Economy ; Advanced Graph Neural Networks
Authors: Vincenzo Gentile | Marco Perino
Source: Springer Link (Chiba Institute of Technology) (article, 2026-01-21)
Field: Chemistry — Spectroscopy

Design, development and test of a low cost, fast-response, multi-gas tracer gas measurement apparatus Tracer gas measurements are a family of well know and widely applied experimental techniques adopted to test and verify the performance of ventilation and air conditioning systems. They are aimed at measuring either the ventilation air flow rates and or the performance of the air distribution. They make use of nontoxic, non-flammable, odourless and easy to detect gasses that are injected in the air and whose concentration is then monitored over a period of time. For this sake quite sophisticated, costly and delicate measuring apparatuses are typically used. The main disadvantages of the existing apparatuses are represented by their cost, size and the impossibility of leaving the system in the field for medium/long term monitoring campaigns. Besides, the time response is usually rather long and this hinder their use in all those cases where the ventilation air flow rates are high or when many measuring points need to be monitored simultaneously. For these reasons a new measuring system (TEBE-SENSE) was designed and built. It adopts a number of small, wireless measuring devices that can communicate with a central unit and can measure, store and elaborate the time histories of the tracer gas. The measurement apparatus is developed, so far, to work with three different tracer gases simultaneously (e.g. CO2, SF6, Propane), allowing also the analysis of inter-zonal air exchanges. The response time is in the order of a fraction of a second, a feature that allows to properly follow fast transient ventilation phenomena and to analyse strongly ventilated environments. In this paper the main features of this new system will be presented. A validation was done by comparing the results obtained with the newly proposed system with those provided by a traditional photoacoustic measurement apparatus. TRACER ; Ventilation (architecture) ; Transient (computer programming) ; Airflow ; Flow (mathematics) ; Flow measurement ; Work (physics) Spectroscopy and Laser Applications ; Flow Measurement and Analysis ; Combustion and flame dynamics
Authors: Vincenzo Gentile | Marco Perino
Source: E3S Web of Conferences (article, 2026-01-01)
Field: Chemistry — Spectroscopy

Design, development and test of a low cost, fast-response, multi-gas tracer gas measurement apparatus Tracer gas measurements are a family of well know and widely applied experimental techniques adopted to test and verify the performance of ventilation and air conditioning systems. They are aimed at measuring either the ventilation air flow rates and or the performance of the air distribution. They make use of nontoxic, non-flammable, odourless and easy to detect gasses that are injected in the air and whose concentration is then monitored over a period of time. For this sake quite sophisticated, costly and delicate measuring apparatuses are typically used. The main disadvantages of the existing apparatuses are represented by their cost, size and the impossibility of leaving the system in the field for medium/long term monitoring campaigns. Besides, the time response is usually rather long and this hinder their use in all those cases where the ventilation air flow rates are high or when many measuring points need to be monitored simultaneously. For these reasons a new measuring system (TEBE-SENSE) was designed and built. It adopts a number of small, wireless measuring devices that can communicate with a central unit and can measure, store and elaborate the time histories of the tracer gas. The measurement apparatus is developed, so far, to work with three different tracer gases simultaneously (e.g. CO2, SF6, Propane), allowing also the analysis of inter-zonal air exchanges. The response time is in the order of a fraction of a second, a feature that allows to properly follow fast transient ventilation phenomena and to analyse strongly ventilated environments. In this paper the main features of this new system will be presented. A validation was done by comparing the results obtained with the newly proposed system with those provided by a traditional photoacoustic measurement apparatus. Ventilation (architecture) ; TRACER ; Transient (computer programming) ; Airflow ; Flow (mathematics) ; Work (physics) Spectroscopy and Laser Applications ; Flow Measurement and Analysis ; Combustion and flame dynamics
Authors: Lê Phúc Bình | Vu Thi Hong Khanh | Đặng Phước Thịnh | Nguyễn Thị Thu Hằng | Nguyễn Thanh Tùng
Source: Journal of Science and Technology - IUH (article, 2026-03-25)
Field: Materials Science — Polymers and Plastics

RESEARCH ON THE DESIGN OF ABDOMINAL SHAPING UNDERWEAR FOR WOMEN AND EVALUATION OF THEIR SHAPING ABILITY OVER TIME OF USE Women's abdominal shaping underwear ĐT is made of double loop single jersey knit fabric from 2 types of yarns, the first yarn is a DTY (draw textured yarn) polyamide and DTY polyamide with spandex core, the second yarn is 100% spandex single yarn. The products were designed to be smaller than the model's body size, so that when all four models wore them, the DT fabric stretched horizontally by 34%, corresponding to a tensile force of 0.446 Kgf. This elongation is within the 100% elastic range. Thanks to this, they have the ability to shape the abdominal area. The shaping ability of the product is evaluated by the reduction in the user's abdominal measurement as a % of the abdominal measurement when not using the product. Abdominal circumference was measured manually directly by the user. The model's abdomen was measured 3 times during 1 usage cycle (15 minutes after starting to wear, after 4-6 hours and after 18-12 hours). The product's shaping ability was observed over 20 use cycles (wearing for 12 hours – washing – drying). Initial research results showed that the abdominal circumference of 4 models decreased by 5,2-0,6% when wearing shaping underwear. The results show that the shaping ability is quite stable during a usage cycle. They are quite stable for the first 5-8 cycles of use, and start to decrease slightly from the 6th cycle. Compared with a similar product currently circulating on the market, DX underwear, their shaping ability only reaches 0-2,1% even though both are used under the same tensile force. During a cycle of use, DX products lose their shaping ability from the fourth hour of use. Observation of 20 use cycles showed that the formability of DX products started to decrease from the fourth use cycle. Ultimate tensile strength ; Yarn ; Elongation ; Product (mathematics) ; Abdomen ; Circumference Textile materials and evaluations ; Consumer Perception and Purchasing Behavior ; Dyeing and Modifying Textile Fibers
Authors: Isabela Rocha Lopes | Bruno Christiano Silva Ferreira
Source: Brazilian Journal of Development (article, 2026-01-29)
Field: Materials Science — Biomaterials

Aplicação de rejeitos minerais na agricultura: estudo de classificação estatística e uma alternativa sustentável para o setor de beneficiamento mineral brasileiro A mineração brasileira ocupa posição estratégica na economia, mas gera volumes crescentes de rejeitos, que se convertem em passivos ambientais e pressionam sistemas de disposição convencionais. Este trabalho analisa a aplicação de rejeitos minerais na agricultura como alternativa para reduzir o passivo da mineração e fomentar práticas produtivas mais sustentáveis. O objetivo é caracterizar, sob abordagem estatística multivariada, a variabilidade química de rejeitos de minério de ferro filtrados, provenientes da Usina de Cauê, em Itabira, Minas Gerais, estruturando uma base preliminar para seleção de frações com potencial agronômico. Trata-se de pesquisa aplicada, quantitativa e documental, que utilizou 5.439 análises laboratoriais de controle químico. A metodologia envolveu análise exploratória por meio mapa de calor das correlações, seguida de análise de componentes principais, definição do número de grupos pelo método Elbow Chart, clusterização via K-means, MANOVA para validação estatística dos agrupamentos e análise temporal da produção por cluster. Os resultados indicaram forte gradiente ferro–sílica e a formação de três clusters quimicamente distintos, com discriminação estatisticamente significativa. Entre eles, destaca-se um agrupamento com teores relativamente mais elevados de ferro, fósforo, cálcio e magnésio, elementos relevantes para a nutrição vegetal, cuja participação aumenta ao longo da série temporal. Conclui-se que a abordagem multivariada adotada organiza a heterogeneidade dos rejeitos e fornece subsídios para priorizar frações em futuros ensaios de enquadramento como remineralizador ou condicionador de solo. Oil shale ; Hydrology (agriculture) ; Groundwater ; Dry season Clay minerals and soil interactions ; Geochemistry and Geologic Mapping ; Environmental and Analytical Chemistry Studies
Authors: Christopher W. Stubbs | Dongpeng Huang | Jungyoon Koh | Madeleine Woods | Andrés A. Plazas Malagón
Source: arXiv (Cornell University) (article, 2026-02-04)
Field: Materials Science — Materials Chemistry

Lessons Learned from Integrating Generative AI into an Introductory Undergraduate Astronomy Course at Harvard We describe our efforts to fully integrate generative artificial intelligence (GAI) into an introductory undergraduate astronomy course. Ordered by student perception of utility, GAI was used in instructional Python notebooks, in a subset of assignments, for student presentation preparations, and as a participant (in conjunction with a RAG-encoded textbook) in a course Slack channel. Assignments were divided into GAI-encouraged and GAI-discouraged. We incentivized student mastery of the material through midterm and final exams in which electronics were not allowed. Student evaluations of the course showed no reduction compared to the non-GAI version from the previous year. Python (programming language) ; Course (navigation) ; Generative grammar ; Undergraduate student ; Presentation (obstetrics) ; Conjunction (astronomy) Machine Learning in Materials Science ; Computational Physics and Python Applications ; Artificial Intelligence in Healthcare and Education
Authors: CheolSik Byun | Seungtae Oh | S.K. Kim | Boseong Kim | Yoon Seong Han | S.H. Hahn | H.H. Lee | Azarakhsh Jalalvand | Youngho Lee | Junghoo Hwang | Ricardo Shousha | Jae-Sun Park | Egemen Kolemen
Source: Nuclear Fusion (article, 2026-03-04)
Field: Materials Science — Materials Chemistry

Radiation-front position control with scenario adjustments during the first tungsten divertor operation on KSTAR Abstract This study reports the first experimental demonstration of a radiation front-based detachment control system during the initial tungsten divertor campaign in KSTAR. The system employs real-time infrared video bolometry with tomographic reconstruction to track the inboard radiation-front position, which served as a feedback variable for impurity seeding. In a baseline scenario without pre-D 2 fueling, tungsten accumulation triggered core radiation surges and repetitive H–L back transitions. In contrast, with pre-D 2 fueling, detachment was stabilized by maintaining higher edge-localized mode frequency, suppressing core tungsten buildup, and reducing sputtering, thereby enabling sustained feedback control. The suitability of the inboard front position as a detachment control metric was confirmed by its correlation with the degree of detachment: with D 2 fueling the relation exhibited a broad hysteresis loop characteristic of momentum-loss-dominated detachment, whereas with N 2 fueling, it became narrow and nearly vertical, consistent with radiation-loss-dominated pinning. These results provide a proof-of-principle for radiation-front-based detachment control, demonstrating its viability as a control approach. At the same time, these results clarify that the detachment outcomes were further conditioned by impurity transport characteristics of tungsten divertor operation in KSTAR, providing guidance for future scenario optimization and controller development in tungsten devices. Divertor ; Tungsten ; Core (optical fiber) ; Radiation ; Blanket ; Controller (irrigation) ; Position (finance) ; Fusion power Fusion materials and technologies ; Magnetic confinement fusion research ; Laser-Plasma Interactions and Diagnostics
Authors: Patrick G. Sahrmann | Benjamin Nebgen | Kipton Barros | Brenden W. Hamilton
Source: arXiv (Cornell University) (article, 2026-02-26)
Field: Materials Science — Materials Chemistry

Learning Thermal Response Forces: A Method for Extending the Thermodynamic Transferability of Coarse-Grained Models via Machine-Learning Machine-learned (ML) coarse-grained (CG) models are a promising tool for significantly enhancing the efficiency of molecular simulations by systematically removing degrees of freedom while retaining fidelity to the underlying fine-grained model. The CG potential of mean force (PMF) is inherently dependent on thermodynamic conditions and, hence, a CG force-field (FF) which is trained at one thermodynamic state point is not necessarily accurate at another. We propose, in this work, a novel and data-efficient means of learning temperature dependence into ML CG force-fields via training on the thermal response forces of the PMF. We demonstrate how incorporating these terms into ML CG FFs confers significantly improved transferability for CG water models and demonstrate how this transferability enables accurate and predictive CG dynamics. Transferability ; Degrees of freedom (physics and chemistry) ; Thermal ; Point (geometry) ; Fidelity ; Steady state (chemistry) ; Mathematical model Machine Learning in Materials Science ; Block Copolymer Self-Assembly ; Model Reduction and Neural Networks