37 real negative results, null findings, and replication failures in Materials Science. Search the index →
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Yangjian Cai, Ming Lu, Xian Qin et al. · 2025 · Nature Communications
Shell coating is known to suppress luminescence quenching in spherical upconversion nanoparticles. However, the emergence of anisotropic nanoparticles with facet-selective, directional growth complicates the coating process, and the use of…
View details →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
View details →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,
View details →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
View details →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…
View details →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
View details →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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