Esta é a nossa mais recente seleção de publicações e patentes mundiais em inglês sobre Óxidos de Alta Entropia (HEOs), provenientes de diversos periódicos científicos online, classificadas e focadas em óxidos de alta entropia, HEOs, HEO espinélio, HEO tipo sal-gema, PE-HEO, F-HEO, entropia configuracional, HEO perovskita, SP-HEO, R-HEO, HEO fluorita, estabilização de entropia, síntese por reação em estado sólido, HEO em camadas, RP e delafossita, pirólise por chama, HEO pirocloro, síntese por combustão em solução (SCS), HEO, segregação de fase impulsionada por entropia, difusão lenta e pirólise por chama (FSP).
Hydrolytic evolution of the structure and rheology of a biodegradable hydrogel bearing poly(<i>D</i>,<i>L</i>-lactic acid)
Published on 2026-07-10 by Seonhye Hwang, Junho Lee, Hye Jin Oh, Seon Yeop Jung, Seyoung Kim @NATURE
Abstract: Polymer Journal, Published online: 10 July 2026; doi:10.1038/s41428-026-01227-9The hydrolysis behavior of PLA-bearing physical hydrogels was investigated using synchronized NMR, small-angle neutron scattering (SANS), and small-amplitude oscillatory shear (SAOS). During hydrolysis, water progressively penetrated and swelled the PLA nanodomains, as revealed by in situ SANS analysis. Although the hydrogels maintained their elastic nature throughout degradation, the storage modulus continuously decr[...]
Our summary: The study investigates the hydrolysis behavior of PLA-bearing hydrogels using NMR, SANS, and SAOS. Water penetration and swelling of PLA nanodomains were observed during hydrolysis. The hydrogels retained elasticity, but the storage modulus decreased as hydrolysis progressed, linking hydrolysis kinetics to mechanical degradation.
hydrolysis, biodegradable, hydrogel, rheology
Publication
Scanning fluorescent x-ray analysis device, program used for same, and fluorescent x-ray analysis method using same
Patent published on the 2026-07-02 in WO under Ref WO2026141176 by RIGAKU CORP [JP] (Hara Shinya [jp], Doi Makoto [jp], Okazaki Natsumi [jp])
Abstract: In this scanning fluorescent X-ray analysis device, a quantification means creates a peak profile by performing, on a preliminary measurement sample, measurement for a prescribed measurement time at a prescribed number of measurement points in a prescribed scanning angle range based on a theoretical 2θ peak angle, calculates a theoretical standard deviation for the intensity of the peak profile from the peak profile and the prescribed measurement time, and obtains an optimum measurement time on[...]
Our summary: The device performs scanning fluorescent X-ray analysis to create a peak profile. It calculates a theoretical standard deviation based on the intensity of the peak profile. The system optimizes measurement time using reference values and limits for the 2θ peak angle.
X-ray analysis, peak profile, quantification, measurement time
Patent
Manufacturing method for observation device, observation device, and computer program
Patent published on the 2026-07-02 in WO under Ref WO2026141428 by GOTOH EDUCATIONAL CORP [JP] (Nanko Kazuki [jp], Inatsu Masaru [jp], Sakaguchi Ryuta [jp], Hamada Atsushi [jp], Onomura Shiho [jp])
Abstract: This manufacturing method is for manufacturing an observation device for observing precipitation particles such as raindrops. The manufacturing method comprises: a step for preparing an antenna module that transmits electromagnetic waves (E) and receives electromagnetic waves (E) reflected by a storage container and electromagnetic waves (E) reflected by precipitation particles; a step for outputting information relating to a placement position for placing the antenna module in the storage conta[...]
Our summary: The method outlines the production of an observation device for monitoring precipitation particles. It includes preparing an antenna module to transmit and receive electromagnetic waves. The process involves determining the optimal placement of the antenna within a storage container based on dielectric properties and wall thickness.
observation device, manufacturing method, antenna module, electromagnetic waves
Patent
Multi-model validation of radiotherapy machine learning models
Patent published on the 2026-07-01 in EP under Ref EP4769423 by SIEMENS HEALTHINEERS INT AG [CH] (Kuusela Esa [fi])
Abstract: Disclosed herein are methods and systems for optimizing radiation therapy plans through a dual-model system, enhancing operational efficiency, effectiveness, and safety of machine learning models (111, 112) configured to generate radiotherapy treatment plans. Embodiments utilize a utility function to guide the optimization of treatment parameters, while an independent validation model evaluates each iteration of the plan. The validation model ensures that the treatment remains clinically viable [...]
Our summary: This content discusses methods for optimizing radiation therapy plans using a dual-model system. It highlights the role of a validation model in ensuring clinical viability and preventing over-optimization. The approach aims to enhance the reliability and safety of machine learning-generated treatment plans.
radiotherapy, machine learning, optimization, validation
Patent
An efficient embedding system and method using twistor theory and time-based scaling of event importance for behavior prediction
Patent published on the 2026-07-01 in EP under Ref EP4769236 by UNIV YILDIZ TEKNIK [TR] (Safak Ilgin [tr], Aktas Mehmet Siddik [tr], Frantti Tapio [fi])
Abstract: [0001] The invention relates to a system and method for developing an efficient embedding methodology that can effectively capture behavior for prediction purposes and could be used in various use cases including, but not limited to, cybersecurity, banking and finance, e-commerce, healthcare, social networking, etc., including predicting future cybersecurity incidents by capturing behavior of loT devices, capturing intent, or predicting a customer s propensity to use or purchase a product.[...]
Our summary: The invention presents a method for an efficient embedding system utilizing twistor theory. It focuses on time-based scaling to enhance the prediction of behaviors across various sectors. Applications include cybersecurity, finance, e-commerce, and healthcare for predicting incidents and customer intent.
embedding system, twistor theory, behavior prediction, time-based scaling
Patent
Tracking urban low-carbon ecological assessment base on Fermatean fuzzy multicriteria framework with improved bidirectional projection and regret theory
Published on 2026-06-29 by @OXFORD
Abstract: AbstractEvaluating urban low-carbon development is essential for advancing China’s dual-carbon strategy, yet existing approaches face challenges in handling ambiguity, indicator correlation, and decision bias. This study develops an integrated multicriteria evaluation framework under Fermatean fuzzy (FF) environments. The framework incorporates an improved FF bidirectional projection method, a modified criteria importance through intercriteria correlation weight allocation mechanism, and regre[...]
Our summary: This study presents a multicriteria evaluation framework for urban low-carbon development using Fermatean fuzzy environments. It integrates improved bidirectional projection and regret theory to address decision bias and indicator correlation. Empirical results from five Chinese cities validate the framework s effectiveness and robustness.
Fermatean fuzzy, multicriteria evaluation, bidirectional projection, regret theory
Publication
Method and apparatus with data generation for training mlff model
Patent published on the 2026-06-24 in EP under Ref EP4765134 by SAMSUNG ELECTRONICS CO LTD [KR] (Song Suhwan [kr], Kim Geonu [kr], Kim Heejae [kr])
Abstract: [0001] A method and apparatus for generating data for training a machine-learning force field (MLFF) model are provided. The method of generating data for training the MLFF model includes generating product information based on received reactant information, generating labeled training data based on a density functional theory (DFT) calculation of the product information, identifying outlier data from verification data, based on an inference result of the verification data by the MLFF model trai[...]
Our summary: The method generates data for training a machine-learning force field (MLFF) model. It involves creating product information from reactant data and generating labeled training data using density functional theory (DFT). Outlier data is identified and used to update the training dataset.
data generation, machine-learning, force field, training model
Patent
Carbon-metal hybrid nanocomposites and their compositions of polymeric and monomeric products
Patent published on the 2026-06-18 in WO under Ref WO2026128629 by NANO CATALYTICS INC [US] (Malyakula Devasish [us], Potluri Srinagesh [us])
Abstract: Carbon-metal hybrid (CMH) nanocomposites, process of their inclusion in useful compositions such as sealants, coatings, composites, adhesives, and other polymeric products, and such compositions, and uses of such compositions. Carbon-metal nanocomposites combine multiple structures to achieve enhanced properties and performance in such compositions. For example, these hybrid materials can improve one or more of mechanical strength, stiffness, rheological properties, toughening, elasticity, elect[...]
Our summary: Carbon-metal hybrid nanocomposites enhance properties in various polymeric products. They combine carbon nanostructures with metal nanoparticles for improved performance. Applications include sealants, coatings, and adhesives, benefiting from increased mechanical and electrical properties.
nanocomposites, hybrid materials, carbon structures, polymer compositions
Patent











