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Biomimetic Dental Ceramics for Prosthetic and Implant Rehabilitation

Márcia Borba、Paula Benetti2026-08-21OpenAlex

The conventional rationale behind applying ceramics to replace the tooth structure is the similarity between their thermal, mechanical, and optical properties and their inert behavior. Dental ceramics with different compositions and microstructures are available to replace the tooth crown and root. Yet, the convention…

Advanced ceramic materials synthesisDental materials and restorationsBone Tissue Engineering Materials

Soft Polymeric Matrix-Mediated Stabilization of Bulk Heterojunction Morphology for Thermally Robust Organic Photovoltaics

Unyong Lee、Junpyo Seo、Minwoo Nam2026-08-21Gels

Suppressing thermally driven morphological evolution while preserving efficient charge transport pathways remains a critical challenge for improving the long-term stability of organic photovoltaics (OPVs). Herein, a soft polymeric matrix strategy based on gel-related soft material concepts is demonstrated for stabiliz…

Conducting polymers and applicationsOrganic Electronics and PhotovoltaicsPerovskite Materials and Applications

Woodworking Joints: Why Strength Isn't Always Better

David Ohnstad2026-08-21Zenodo (CERN European Organization for Nuclear Research)

The woodworking internet preaches that bombproof joinery like mortise-and-tenon and through-dovetails are always superior. But this hierarchy ignores a crucial truth: the right joint depends on your application, not just raw strength. Full article: https://david-ohnstad.com/woodworking-joints-strength-myth/

Wood Treatment and PropertiesDiverse Global Economic and Educational ChallengesEngineering and Material Science Research

Synthesis of Schiff Bases from Triazines

Heshw Nozad Yousif、Bekhal Omer Mohammed、DR. MUTHANNA M. AWAD2026-08-21Open Access Research Journal of Chemistry and Pharmacy

This review summarizes the chemistry, synthesis, applications, and characterization of triazine-derived Schiff bases, with emphasis on the integration of the 1,3,5-triazine core with azomethine (C=N) functionalities. The principal synthetic strategies include the use of amino-functionalized triazines such as melamine,…

Supramolecular Chemistry and ComplexesSynthesis and Characterization of Heterocyclic CompoundsCovalent Organic Framework Applications

In-situ architecturing of 3D graphene networks in metals via laser additive manufacturing for strength-toughness synergy

Zhongkun Liao、Jingchi Zhang、Zichuan Fu 等 8 位作者2026-08-21Nature Communications

Abstract Integrating two-dimensional nanomaterials into three-dimensional bulk metals to simultaneously achieve high strength and toughness remains challenging. Conventional fabrication methods for graphene-reinforced metal matrix composites (MMCs) often lead to graphene layers agglomeration and poor interfacial bondi…

MXene and MAX Phase MaterialsAdditive Manufacturing Materials and ProcessesAluminum Alloys Composites Properties

Aligned Lubricated Short Nanofibers Enable Cartilage‐Mimetic Hydrogels with Mechanical Toughening, Piezoelectric Amplification, and Anisotropic Friction

Yisong Liu、Chao Xue、Yinuo Yang 等 7 位作者2026-08-21Advanced Functional Materials

ABSTRACT Bioinspired hydrogels are promising candidates for the development of multifunctional soft materials, yet the integration of anisotropic friction control, mechanical robustness, and piezoelectricity within a single material remains challenging. Here, a biomimetic hydrogel was successfully developed by incorpo…

Advanced Sensor and Energy Harvesting MaterialsSilk-based biomaterials and applicationsHydrogels: synthesis, properties, applications

Chemical Invariance Principle

Jincheng Zhang2026-08-21Zenodo (CERN European Organization for Nuclear Research)

This paper proposes the Chemical Invariance Principle (CIP), a novel concept aimed at unifying disparate chemical reactions by identifying a fundamental, yet previously unrecognized, invariant. The CIP posits the existence of a chemical invariant, denoted as [Cchemical], which dictates the underlying similarity in dee…

Machine Learning in Materials ScienceOrigins and Evolution of LifeHistory and advancements in chemistry

Molecular Potential Topology

Jincheng Zhang2026-08-21Zenodo (CERN European Organization for Nuclear Research)

This paper introduces the concept of Molecular Potential Topology (MPT), a novel approach to understanding chemical reaction pathways. Traditional methods often treat potential energy surfaces as static landscapes, focusing on minimizing energy. MPT reframes this perspective, proposing that the potential energy surfac…

Protein Structure and DynamicsMachine Learning in Materials ScienceComputational Drug Discovery Methods

Molecular Description Invariance

Jincheng Zhang2026-08-21Zenodo (CERN European Organization for Nuclear Research)

This paper explores the concept of Molecular Description Invariance (MDI), a fundamental requirement for robust and reliable chemical theory. The core premise is that a molecule's inherent properties remain unchanged regardless of the representation used to describe it. Various representations of a molecule, including…

Computational Drug Discovery MethodsMachine Learning in Materials ScienceAdvanced Graph Neural Networks

Thermal Storage Survivability: V2.3 Measurement Protocol

Jamie Morris2026-08-21Zenodo (CERN European Organization for Nuclear Research)

A falsifiable experimental protocol for testing the long-term survivability of cyclic thermal-storage systems. It separates thermal-state stability, regeneration completeness, intrinsic capacity retention, and cycle endurance, providing a controlled method to distinguish ordinary incomplete regeneration from genuine c…

Advanced Battery Technologies ResearchPhase Change Materials ResearchThermal properties of materials

Hook‐and‐Loop‐Inspired CNTs/CNFs Structure for Flexible Strain Sensors With Ultra‐High Sensitivity and Wide Sensing Range

Junjie Tang、Chenling Wu、Taihong Wang 等 4 位作者2026-08-21Small

The morphology and propagation behavior of channel cracks significantly influence the performance of crack-based thin film strain sensors. To date, flexible strain sensors still face a conflict between sensitivity and sensing range, which severely hinders their applications in flexible wearable electronics. Inspired b…

Advanced Sensor and Energy Harvesting MaterialsSmart Materials for ConstructionCarbon Nanotubes in Composites

An AI Ran a Quantum Computer Overnight… but It Took Human Intuition to Catch the Errors

inquantio2026-08-21Zenodo (CERN European Organization for Nuclear Research)

Researchers at the French quantum computing company PASQAL have unveiled an AI agentic workflow that takes a paper or a patent as input and automatically designs, validates, and executes experiments on a neutral-atom quantum computer. Across three case studies the agent carried campaigns on real quantum processing uni…

Quantum Computing Algorithms and ArchitectureQuantum many-body systemsMachine Learning in Materials Science

From Screening to Optimization: Strategic Implementation of Design of Experiments (DOE) for Robust Nanoparticle Formulation

Ritu Gupta、Mahua Sarkar、Huan Xie2026-08-21Polymers

Design of experiments (DOE) offers a powerful, systematic framework for optimizing nanoparticle (NP) formulations by replacing inefficient one-factor-at-a-time (OFAT) methods. By enabling the simultaneous evaluation of multiple variables, DOE uncovers critical factor interactions and identifies true global optima—crit…

Computational Drug Discovery MethodsOptimal Experimental Design MethodsNanoparticle-Based Drug Delivery

Molecular Identity Distance

Jincheng Zhang2026-08-21Zenodo (CERN European Organization for Nuclear Research)

Traditional molecular distance metrics, such as Euclidean distance, graph distance, and Tanimoto distance, primarily focus on structural differences between molecules. These metrics inherently treat all structural variations equally, irrespective of their impact on chemical behavior. This paper introduces a novel appr…

Machine Learning in Materials ScienceComputational Drug Discovery MethodsCrystallography and molecular interactions

Ensemble machine learning model for predicting surface roughness during drilling of hybrid sisal-cotton fiber reinforced polyester composites

Desalegn Wogaso Wolla、Firi Ziyad、Habtamu Alemayehu 等 5 位作者2026-08-21Discover Applied Sciences

Abstract Composites that integrate natural fibers with polymer matrix possess versatile properties and profoundly contribute to sustainability and eco-friendless. Machining of these composite materials is challenging due to material’s anisotropic property, non-homogeneous structure and abrasive nature of fibers. Surfa…

Natural Fiber Reinforced CompositesAdvanced machining processes and optimizationScientific and Engineering Research Topics

Submerged Oxyfuel Combustion for Brine Concentration Without Pyrohydrolytic Acid Release

Ilir Mehmetaj2026-08-21Zenodo (CERN European Organization for Nuclear Research)

Abstract High-intensity thermal concentration of chloride brines is limited by a chemical failure rather than an energetic one. Magnesium chloride reacts with water during heating to give, in stages, magnesium hydroxychloride and then magnesium oxide, releasing gaseous hydrogen chloride. The hydrolysis begins in the r…

Chemical and Environmental Engineering ResearchCombustion and Detonation ProcessesMagnesium Oxide Properties and Applications

Tunable Surface Chemistry and Smooth Morphology of Molecular Layer-by-Layer Deposited Polyamide Membranes Enable Reversible Silica Scaling

Samarpan Deb Majumder、Zhaoyang Wang、Tiezheng Tong 等 6 位作者2026-08-21ACS ES&T Engineering

Abstract Silica scaling is one of the most problematic forms of inorganic fouling in reverse osmosis (RO) systems, often causing irreversible performance loss and demanding frequent, costly cleaning. We systematically investigated the mechanisms of silica scaling on thin (≈20 nm), ultrasmooth (<5 nm roughness), and hi…

Polymer Surface Interaction StudiesMembrane Separation TechnologiesNanopore and Nanochannel Transport Studies

Universal Orbital Compression Principle

Jincheng Zhang2026-08-21Zenodo (CERN European Organization for Nuclear Research)

This paper introduces the Universal Orbital Compression Principle (UOCP), a novel theory proposing that electron orbitals do not undergo rearrangement but actively compress. The traditional model of electron configuration relies on the concept of electrons 'filling' orbitals, often involving complex re-ordering. UOCP…

Electron and X-Ray Spectroscopy TechniquesCrystallography and molecular interactionsAdvanced Chemical Physics Studies

Silicon‐Based Quantum Dot On‐Chip Optical Frequency Comb: The Next‐Generation Information Technology Photonic Engine

Wenhao Wu、Yuxin Lei、Xuezhe Yu 等 15 位作者2026-08-21Laser & Photonics Review

ABSTRACT In next‐generation optical communication systems, energy consumption and integration density stand as critical bottlenecks limiting the capacity and speed of data transmission. Semiconductor silicon‐based quantum dot (QD) on‐chip optical frequency combs (OFC) have emerged as a transformative photonic engine t…

Photonic and Optical DevicesSilicon Nanostructures and PhotoluminescenceAdvanced Fiber Laser Technologies

Biomaterial Innovations for Dentin Regeneration and Tissue Engineering

Nileshkumar Dubey、Vinícius Rosa2026-08-21OpenAlex

Dentin tissue regeneration is a multifaceted challenge, requiring biomaterials with precise spatiotemporal control over biochemical and biological signals to promote functional regeneration. Early biomaterial therapies focused on mimicking the gross composition and mechanical properties of native tissue but fell short…

3D Printing in Biomedical ResearchElectrospun Nanofibers in Biomedical ApplicationsBone Tissue Engineering Materials