Dielectric response mechanism and structure–property relationships of SrSn(BO3)2 microwave ceramics with ultra-low permittivity and their application for 5G microstrip patch antenna

Authors: Yingbo Yu, Xiangyu Wang, Zhongfen An, Fuzhou Song, Wanghuai Zhu, Zhonghua Yao, Jinbo Zhao, Yan Shen, Hanxing Liu, Feng Shi, Ze-Ming Qi

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Subject Terms: Microwave dielectric ceramics, Ultra-low permittivity, Dielectric response mechanism, Structure–property relationships, Microstrip patch antenna, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/3cfc27c5f31049ab95fc8b49ed97f4d9

Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies

Authors: Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin

Source: Frontiers in Immunology, Vol 16 (2025)

Subject Terms: primary immunodeficiencies, amino acid substitutions, pathogenicity prediction, sequence-structure-property relationships, human genetic variation, SAV-Pred, Immunologic diseases. Allergy, RC581-607

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Relation: https://www.frontiersin.org/articles/10.3389/fimmu.2025.1492751/full; https://doaj.org/toc/1664-3224

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Vaporisation Thermodynamics: Are Triazolium Ionic Liquids a Real Alternative to Popular Imidazolium-Based Ionic Liquids?

Authors: Sergey P. Verevkin, Dzmitry H. Zaitsau

Source: Liquids, Vol 4, Iss 3, Pp 581-591 (2024)

Subject Terms: ionic liquid, vapour pressure, enthalpy of vaporisation, structure–property relationships, Organic chemistry, QD241-441

File Description: electronic resource

Relation: https://www.mdpi.com/2673-8015/4/3/32; https://doaj.org/toc/2673-8015

Access URL: https://doaj.org/article/1969da402ebc4a3383886ed20a63c677

High elastic modulus polyethylene: Process‐structure‐property relationships

Authors: Chung‐Fu Cheng, Trevor J. McCraw, Theo H. Solomon, Michael R. Yan, Gary E. Wnek, Andrew Olah, Eric Baer

Source: SPE Polymers, Vol 5, Iss 3, Pp 366-381 (2024)

Subject Terms: high‐modulus polyethylene, solid‐state processing, structure‐property relationships, Polymers and polymer manufacture, TP1080-1185

File Description: electronic resource

Relation: https://doaj.org/toc/2690-3857

Access URL: https://doaj.org/article/d31160e29b7141c28661c35e956b6d83

Deep eutectic solvents (DES): Structure, properties, and cutting-edge applications in green catalysis

Authors: Shafique, Sumeer ^a, Belousov, Artem S. ^b, Rashid, Ruhma ^c, Shafiq, Iqrash ^{a, ⁎}, Aziz, Kosar Hikmat Hama ^{d, e}, Riaz, Nadia ^f, Khan, Muhammad Saqib ^f, Shaheen, Asma ^g, Ishaq, Manzar ^a, Akhter, Parveen ^h, Hussain, Murid ^{a, ⁎}

Source: In Journal of Molecular Liquids 1 February 2025 419

A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing

Authors: Faegh, Meysam ^a, Ghungrad, Suyog ^a, Oliveira, João Pedro ^b, Rao, Prahalada ^c, Haghighi, Azadeh ^{a, ⁎}

Source: In Journal of Manufacturing Processes 17 January 2025 133:524-555

Prediction of bead formation in PVDF fiber across different solvent systems using Interpretable Machine Learning

Authors: Sarma, Shrutidhara ^{a, c, ⁎}, Gaur, Chaitanya ^b, Benarrait, Racha ^c, Haus, Jan Niklas ^c, Koch, Eugen ^c, Dietzel, Andreas ^c

Source: In Polymer 15 January 2025 317

Unveiling the structure-property relationships of multilayered Helmholtz resonance-based acoustic metamaterials

Authors: Chua, Jun Wei ^a, Poh, David Kar Wei ^a, Ding, Shuwei ^a, Pei, Haoran ^{a, b}, Li, Xinwei ^{c, ⁎}

Source: In Smart Materials in Manufacturing 2025 3

Workflow for predictive risk assessments of UVCBs: cheminformatics library design, QSAR, and read-across approaches applied to complex mixtures of metal naphthenates

Authors: A. J. Prussia, C. Welsh, T. S. Somers, P. Ruiz

Source: Frontiers in Toxicology, Vol 6 (2024)

Subject Terms: unknown or variable composition complex reaction products and biological materials (UVCBs), metal naphthenates, quantitative structure–activity relationships, quantitative structure–property relationships, read-across, virtual chemical library, Toxicology. Poisons, RA1190-1270

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Relation: https://www.frontiersin.org/articles/10.3389/ftox.2024.1452838/full; https://doaj.org/toc/2673-3080

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Thermochemical parameters of phase transitions of some low volatile sulfonamides prone to polymorphism

Authors: Nagrimanov, Ruslan N. ^{a, ⁎}, Italmasov, Almaz R. ^a, Nasibullin, Igor O. ^{a, b}, Larionov, Radik A. ^a, Burilov, Vladimir A. ^a, Khayarov, Khasan R. ^a, Gerasimov, Alexander V. ^a

Source: In Journal of Molecular Liquids 1 June 2025 427

Optimizing biosurfactant structure: Experimental and theoretical investigation of the influence of hydroxyl groups on sour corrosion mitigation

Authors: Iravani, Danial ^a, Farhadian, Abdolreza ^{b, ⁎}, Seddik, Nordin Ben ^{c, ⁎}, Sharifi, Ruhollah ^d, Rahimi, Alireza ^e, Raissouni, Ihssane ^c, Esfandabadi, Ali Shafizadeh ^f, Akbarinezhad, Esmaeil ^g

Source: In Journal of Industrial and Engineering Chemistry 25 April 2025 144:625-641

Neural network-optimized imaging for classifying lignin-based polyurethane foams: Linking molecular composition to cellular microstructure using advanced machine learning

Authors: Hage, Ilige S. ^{a, ⁎}, Seif, Charbel Y. ^b, Quinsaat, Jose Enrico Q. ^c, van de Pas, Daniel J. ^c, Vendamme, Richard ^d, Eevers, Walter ^{d, e}, Vanbroekhoven, Karolien ^d, Feghali, Elias ^{d, f, ⁎⁎}

Source: In Polymer 17 April 2025 324

Influence of anion and ionization ratio on CO2 sorption of poly(ionic liquid)s with imidazolium cations derived from polyepichlorohydrin: A multi-scale analysis

Authors: Barrera Bogoya, Anamaria ^a, Arnal-Herault, Carole ^a, Barth, Danielle ^b, Mutelet, Fabrice ^b, Belaissaoui, Bouchra ^b, Marchal, Philippe ^b, Tamura, Yuki ^c, Nakama, Yuki ^c, Hayano, Shigetaka ^c, Jonquieres, Anne ^{a, ⁎}

Source: In Polymer 10 April 2025 323

Structure-property relations in PP/HDPE blends: From processing to performance

Authors: Namnidi, Sujith D., van Breemen, Lambèrt C.A. ^⁎, Looijmans, Stan F.S.P. ^⁎

Source: In Polymer 10 April 2025 323

Innovations in phosphate phosphors: Bridging structure-property gaps for enhanced luminescence

Authors: Pan, Xin ^{b, c, 1, ⁎⁎}, Jian, Yuanhao ^{a, 1}, An, Na ^a, Xie, Rong-Jun ^{b, ⁎}, Ke, Su ^a, Li, Zebin ^e, Wang, Hongling ^a, Lin, Cunjian ^{b, f}, Zhuang, Yixi ^b, Zhou, Jiajia ^{d, ⁎}, Mei, Lefu ^{a, ⁎}, Liao, Libing ^a

Source: In Coordination Chemistry Reviews 1 April 2025 528

On a Crystal Chemical Vision on Niobium-Based Superconducting Intermetallics: A Brief Overview

Authors: Taimo Priinits, Artjom Vargunin, Aleksandr Liivand

Source: Condensed Matter, Vol 10, Iss 1, p 13 (2025)

Subject Terms: niobium, niobium intermetallic alloys, applied superconductivity, crystal chemistry, structure–property relationships, material design, Physics, QC1-999

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Relation: https://www.mdpi.com/2410-3896/10/1/13; https://doaj.org/toc/2410-3896

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The growth mechanism and optical properties of flower-like porous Gd2O2S:Er3+/Yb3+ phosphor

Authors: Wang, Xuejiao ^a, Jiang, Tianzhi ^a, Ye, Renguang ^{a, ⁎}, Hua, Youjie ^{a, ⁎}, Li, Bingpeng ^a, Liu, Guoqing ^{b, ⁎}, Long, Zhiqiang ^{c, ⁎}, Zhang, Buqing ^c, Bai, Gongxun ^a, Zhang, Junjie ^a, Xu, Shiqing ^a

Source: In Journal of Alloys and Compounds 25 December 2024 1009

tda-segmentor: A tool to extract and analyze local structure and porosity features in porous materials

Authors: Vasudevan, Aditya ^{a, ⁎}, Prieto, Jorge Zorrilla ^a, Zorkaltsev, Sergei ^{a, b}, Haranczyk, Maciej ^{a, ⁎}

Source: In Computer Physics Communications December 2024 305

Systematic exploration of structure-property relationships in colorless polyimides derived from stereoisomeric dianhydrides and various diamines

Authors: Guk-Yun Noh, Ki Jung Kim, Eun Ji An, Woohwa Lee, Hyun Kim, Chang-Geun Chae, Won Seok Chi, Dong-Gyun Kim, Sungmin Park, Yong Seok Kim

Source: Polymer Testing, Vol 137, Iss , Pp 108504- (2024)

Subject Terms: Colorless polyimides, Stereoisomers, Structure-property relationships, Systematic characterizations, Charge transfer complex, Polymers and polymer manufacture, TP1080-1185

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Relation: http://www.sciencedirect.com/science/article/pii/S0142941824001818; https://doaj.org/toc/1873-2348

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Advancing material property prediction: using physics-informed machine learning models for viscosity

Authors: Alex K. Chew, Matthew Sender, Zachary Kaplan, Anand Chandrasekaran, Jackson Chief Elk, Andrea R. Browning, H. Shaun Kwak, Mathew D. Halls, Mohammad Atif Faiz Afzal

Source: Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-14 (2024)

Subject Terms: Classical molecular dynamics simulations, Organic molecules, Physical properties, Viscosity, Quantitative structure–property relationships, Machine learning, Information technology, T58.5-58.64, Chemistry, QD1-999

File Description: electronic resource

Relation: https://doaj.org/toc/1758-2946

Access URL: https://doaj.org/article/d431eabc630d4e9b849181689578969e