📄 chemistry

Reliability-aware multimodal prioritization of natural-product candidates against Candida albicans using gray-zone MIC modeling and applicability-domain analysis

This study presents a reliability-aware, multimodal deep learning workflow that integrates standardized MIC data with uncertainty quantification and gray-zone modeling to effectively prioritize and validate natural-product candidates against *Candida albicans* for experimental follow-up.

zixuan you, yuhao yu, bin xie, linjing zhao, kaiyu wang, qingrng li2026-08-28
📄 chemistry

Towards Generalizable and Evidential Nuclear Magnetic Resonance-Based Molecular Structure Elucidation via Large Language Model Agent

The paper introduces NMRAgent, an evidential reasoning agent powered by large language models that overcomes the interpretability and generalizability limitations of current AI methods in NMR-based molecular structure elucidation by combining database retrieval, de novo generation, and spectral verification to achieve superior accuracy on novel scaffolds and successfully identify unknown natural products.

Jun Xia, Zheng Fang, Chen Yang, Yusen Tan, Yunpeng Zhao, Fanjie Xu, Hongxin Xiang, Hanyu Sun, Hanyu Gao, Xiaojian Wang (…)2026-08-27
📄 chemistry

Novel 1,4-Dihydropyridine–1,3,4-Oxadiazole Hybrids as Potential Anticonvulsant Agents: Microwave-Assisted Synthesis, In Silico Studies, And Biological Evaluation

This study reports the microwave-assisted green synthesis, in silico validation, and biological evaluation of novel 1,4-dihydropyridine–1,3,4-oxadiazole hybrids, identifying compound DP01 as a highly potent and safe anticonvulsant candidate that outperforms the standard drug phenytoin in binding affinity and seizure protection.

Dinesh Rishipathak, Hemant Chikhale, Pallavi Wankhede, Shraddha Gupta2026-08-27
📄 chemistry

Evaluation of the Enhanced Constrained Rod Casting Test for Hot Tearing of 7xxx Aluminium Alloys

This study validates the Enhanced Constrained Rod Casting (ECRC) test for wide-freezing-range 7xxx aluminium alloys by demonstrating that while crack-width scores lack statistical significance, fracture location statistics and peak contraction loads provide repeatable and reliable metrics for assessing hot tearing susceptibility when short and long rods are interpreted separately.

Zheng Gong, Qing Yu, Lianjian Wen, Mingjun Peng, Jianjun Yao, Hongmei Yang, Mengnie Li2026-08-27
📄 chemistry

Sustainable Fabrication of FDM-Printed Jute/PLA Biocomposites: Effect of Fiber Volume Fraction on Mechanical and Thermal Performance

This study demonstrates that FDM-printed jute/PLA biocomposites with an optimal fiber volume fraction of 25–35% and post-curing at 160–165°C achieve superior mechanical and thermal performance through enhanced crystallinity, improved interfacial bonding, and uniform fiber dispersion, offering a sustainable solution for structural engineering applications.

Ashok Kumar K, M Puviyarasan2026-08-27
📄 chemistry

Unique nanoparticle via regulated assembly pattern in Zein, acetylated oligosaccharide and tannic acid tertiary system and controlled release function

This study demonstrates that a pH-driven ternary system of zein, acetylated mannan oligosaccharides, and tannic acid forms stable, compact nanoparticles that significantly enhance curcumin encapsulation efficiency and enable controlled, sustained release through synergistic hydrogen bonding and hydrophobic interactions.

Sheng ke, Xinyu Guo, Jing Wang, Bing Wang, Chris Blanchard, Padraig Strappe, Zhongkai Zhou, Guohua Zhao2026-08-27
📄 chemistry

Eco-Friendly Corrosion Inhibitor Derived from Acacia nilotica Fruit Extract for Mild Steel Protection in Acidic Media

This study demonstrates that Acacia nilotica fruit extract acts as an effective, eco-friendly mixed-type corrosion inhibitor for mild steel in 1 M HCl, achieving a maximum efficiency of 94.47% at 20 ppm through the formation of an adsorbed protective layer as confirmed by electrochemical and surface characterization analyses.

Gulshan Kumar Thakur, Monika Das, Bhawana Jain, Prachi P Nimje, Akhil Saxena2026-08-27
📄 chemistry

Soil Degradation Behavior and Mechanical Properties of Blends Composed of Bio-based and Petroleum-based Polycarbonates

This study demonstrates that blending bisphenol-A polycarbonate with isosorbide-derived bio-based polycarbonate up to 15 wt% significantly enhances soil degradability through surface-restricted chain scission and selective leaching, resulting in substantial molecular weight reduction and mechanical failure while maintaining thermal stability and partial miscibility.

Won-Ki Lee, Hayoon Cho, Aniket B. Gole2026-08-27