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Browse the failure-mode index

48 real negative results, null findings, and replication failures in Materials Science. Search the index →

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record compiled from open scholarly databases; the abstract is shown in full only where the paper is openly licensed, otherwise a short excerpt under fair use. Classifications are automated and approximate.

Negative / Null Result ReportOpen accessMaterials Science

Solar methane pyrolysis in a liquid metal bubble column reactor: Effect of medium type and gas injection configuration

Malek Msheik, Sylvain Rodat, Stéphane Abanades · 2024 · Journal of Analytical and Applied Pyrolysis

Solar methane pyrolysis in different molten media and reactor configurations was experimented to improve hydrogen production . Pure Sn, Ni 0.18 Sn 0.82 , Cu 0.45 Bi 0.55 , and KCl melts were compared at three different temperatures…

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Negative / Null Result ReportOpen accessMaterials Science

Core–Sheath Nanofibers From a Modified Coaxial Electrospinning for Transdermal Delivery of Finasteride

L L Sun, Yisa Zhao, Xiyu Caomeng et al. · 2026 · ChemistryOpen

Traditional blending electrospinning has a series of issues during implementation, and the corresponding monolithic nanofibers can always be updated through the intentional design of core-sheath nanostructures. In this study, a modified coaxial electrospinning approach was employed to refine the electrospinning process by eliminating abnormal phenomena, while simultaneously imparting core-sheath nanostructures and improved transdermal finasteride (FIN) delivery performance. Using an electrospinnable ethylcellulose (EC) solution containing FIN as the core fluid and an unspinnable polyvinylpyrro

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Negative / Null Result ReportOpen accessMaterials Science

Machine Learning Methodologies Applied to Magnetocaloric Perovskites Discovery

Luis E. Castro-Anaya, Eduardo Marese, Jaime A. Lozano et al. · 2025 · Journal of Chemical Information and Modeling

High Resolution Image Download MS PowerPoint Slide Traditionally, designing novel materials involves exploring new compositions guided by insights from previous work, relying on a trial-and-error approach, where continuous synthesis and characterization proceed until the properties meet the improvements. This method is inefficient due to the challenges of exploring vast chemical spaces. In this study, a machine-learning-based methodology is developed to assist the design from available data in the literature, allowing us to test in silico more than 1.2 million compositions. Two databases with

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Negative / Null Result ReportOpen accessMaterials Science

Significant effect on annealing temperature and enhancement on structural, optical and electrical properties of zinc oxide nanowires

Suriati Paiman, T. Hui Ling, M. Husham et al. · 2020 · Results in Physics

This paper focused on the growth of zinc oxide nanowires on unannealed and annealed indium tin oxide-coated-coated glass substrates on the structural, optical, and electrical properties towards surface acoustic wave (SAW) piezoelectric…

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Negative / Null Result ReportOpen accessMaterials Science

A 3D spheroid model for assessing nanocarrier-based drug delivery to solid tumors

Chitra Yadav, Alexander S. Evtushenko, Andrea Bistrović et al. · 2025 · npj Biomedical Innovations.

3D spheroid culture has emerged as a valuable tool for studying complex intratumoral processes and screening novel therapeutics in vitro. However, spheroids face reproducibility and data interpretation issues, which limit their utility. This work describes a simple and reproducible co-culture spheroid model compatible with high-throughput screening designed to study pancreatic ductal adenocarcinoma (PDAC), a highly therapy-resistant cancer. These spheroids, composed of both cancer and stromal cells, recapitulate key features of PDAC which are difficult to study in traditional 2D cell culture,

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Negative / Null Result ReportOpen accessMaterials Science

Using Solid-State NMR to Understand the Structure of Plant Cellulose

Rosalie Cresswell, Parveen Kumar Deralia, Yoshihisa Yoshimi et al. · 2025 · Journal of the American Chemical Society

High Resolution Image Download MS PowerPoint Slide The structure of plant cellulose microfibrils remains elusive, despite the abundance of cellulose and its utility in industry. Using 2D solid-state NMR of 13 C-labeled never-dried plants, six major glucose environments are resolved, which are common to the cellulose of softwood, hardwood, and grasses. These environments are maintained in isolated holocellulose nanofibrils, allowing more detailed microfibril characterization. We show that there are only two glucose environments that reside within the microfibril core. These have the same NMR 13

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Negative / Null Result ReportMaterials Science

The significant effect of the phase composition on the oxygen reduction reaction activity of a layered oxide cathode

Shanshan Jiang, Jaka Sunarso, Wei Zhou et al. · 2013 · Journal of Materials Chemistry A

Layered oxides of Sr4Fe4Co2O13 (SFC2) which contains alternating perovskite oxide octahedral and polyhedral oxide double layers are attractive for their mixed ionic and electronic conducting and oxygen reduction reaction properties. In…

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Negative / Null Result ReportOpen accessMaterials Science

Benchmarking Large Language Models for Polymer Property Predictions

Sonakshi Gupta, Akhlak Mahmood, Shivank Shukla et al. · 2025 · Macromolecular Rapid Communications

ABSTRACT Machine learning and artificial intelligence have revolutionized polymer science by enhancing the ability to rapidly predict key polymer properties and enabling generative design. The utilization of large language models (LLMs) in polymer informatics may offers additional opportunities for advancement. Unlike traditional methods that depend on large labeled datasets, hand‐crafted representations of the materials, and complex feature engineering, LLM‐based methods utilize natural language inputs via a transfer learning process and eliminate the need for complex representation and finge

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Negative / Null Result ReportOpen accessMaterials Science

Green-Synthesized Copper and Copper Oxide Nanoparticles: Structural Characterization and Evaluation of Biological Activity

Ionut Iulian Lungu, Alina Ştefanache, Nicoleta Anton et al. · 2026 · Antioxidants

Copper-based nanoparticles, especially metallic copper (Cu NPs) and copper oxide (CuO NPs), have attracted increasing attention due to their redox activity, biological efficacy, and technological applications. However, conventional chemical synthesis often involves toxic reagents, limiting their biomedical applicability. In this context, plant-mediated green synthesis has evolved and has become a sustainable and cost-effective alternative. This review provides a comprehensive overview of recent advances in the biosynthesis of Cu and CuO nanoparticles using plant extracts. The main synthesis pa

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Negative / Null Result ReportOpen accessMaterials Science

Biomaterials in personalized drug delivery: innovations, challenges, and future directions

Adna Hrapović, Nadia Islam, Asmaa Al Bourghli et al. · 2026 · PeerJ

The growing global demand for effective and safe therapeutics has accelerated advances in biomaterials for drug delivery applications. Biomaterials, including polymers, metals, ceramics, and composites, play a central role in modern medical devices and therapeutic systems by enabling controlled interactions with biological environments. Initially defined as inert materials interfacing with biological systems, biomaterials are now rationally engineered to treat, replace, or evaluate tissue and organ functions. Recent progress in regenerative medicine, nanotechnology, and precision healthcare ha

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Negative / Null Result ReportOpen accessMaterials Science

Understanding the Toxicity of Carbon Dots: The Role of Synthesis Variability, Surface Chemistry, and Biological Context

HASAN F. SHABBIR, Yanwen Chen, Jing Sun et al. · 2026 · International Journal of Molecular Sciences

Since their initial discovery in 2003, carbon quantum dots (CDs) have attracted significant attention due to their unique optical properties and potential biomedical applications. This review critically examines the past 20 years of research on CDs, with a particular focus on cytotoxicity studies from the last decade. CDs, typically less than 10 nm in size, have been synthesized from various organic and inorganic precursors using multiple methods, including hydrothermal, microwave, and chemical reduction techniques. Their properties can be finely tuned by modifying synthesis parameters and inc

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Negative / Null Result ReportOpen accessMaterials Science

Dual rare-earth modification and interface engineering in SiC-based heterostructures for multi-frequency electromagnetic wave absorption

Jingyi Xu, Zhanming Wu, Yunan Tan et al. · 2026 · Journal of Advanced Ceramics

Abstract The escalating complexity of the electromagnetic environment calls for advanced electromagnetic wave (EMW) absorption materials capable of efficient multi-frequency attenuation. Silicon carbide (SiC) is a promising dielectric candidate but is hindered by intrinsic impedance mismatch and limited polarization loss. Herein, we report a novel ternary heterostructure absorber consisting of SiC nanowires synergistically coupled with dual rare-earth silicides (Ce5Si4 and Pr5Si4) fabricated via a combined magnesiothermic and carbothermal reduction process using an MFI-type zeolite precursor.

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Negative / Null Result ReportOpen accessMaterials Science

Tritium production and processing systems for ST-E1

Emrah Yıldırım, J. Naish, J. Trueba et al. · 2026 · Nuclear Fusion

Abstract An integrated tritium fuel-cycle architecture has been developed for ST-E1, a low-aspect-ratio, high-power fusion power plant. The approach couples a helium-cooled liquid-lithium breeder blanket with a dedicated circulation loop providing tritium extraction, heat removal, and inventory control within a unified system boundary. Downstream of the blanket, the tritium processing system comprises of extraction, purification, isotope separation, and storage subsystems sized to accommodate the plant’s dynamic tritium production and consumption rates. Inventory modelling is used to assess ca

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Negative / Null Result ReportOpen accessMaterials Science

Coarse-Grained Parameters for Simulations of Methyl-Methacrylate-Based Polymer Brushes That Reproduce Experimental Swelling Coefficients

Vinicius Firmino dos Santos, Eduardo R. Almeida, Lucas Miguel Pereira Souza et al. · 2025 · Macromolecules

High Resolution Image Download MS PowerPoint Slide Polymer brushes exhibit unique structural and dynamic properties compared to free polymers due to their confined and tethered nature. While coarse-grained (CG) models for free polymers are well-established in the literature, their direct application to polymer brushes is limited. This is because brushes demonstrate distinct conformational behaviors, scaling laws, and responses to environmental stimuli that may not be accurately captured by models developed for free polymers. We have systematically evaluated chemically specific CG parameters wi

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Negative / Null Result ReportOpen accessMaterials Science

Machine learning approach for mechanical property assessment of industrial waste-filled epoxy–jute composites

Abhilash Purohit, S. Sathees Kumar, Pravat Ranjan Pati et al. · 2026 · Scientific Reports

Abstract The growing demand for sustainable materials has stimulated the development of bio-based composites, yet the combination of natural fibers and industrial waste fillers in polymer matrices has not been exploited synergistically. In line with Sustainable Development Goal 12 (SDG-12), the paper focuses on reusing the steel industry by-product Linz–Donawitz (LD) sludge to enhance the mechanical properties of epoxy composites when used with the jute fiber. Six composite specimens with constant jute fiber loading (20 wt%) and a range of LD sludge content (0–25 wt%) were prepared using hand

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Negative / Null Result ReportMaterials Science

DEM study of particles flow on an industrial-scale roller screen

Xiaodong Yang, Lala Zhao, Hongxi Li et al. · 2020

Abstract In this work, the screening process of an industrial-scale roller screen was simulated based on the validated discrete element method (DEM). The effects of the feed rate, rotational speed of rollers, inclination angle of screen…

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