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Nanomaterials

Nanomaterials is an international, interdisciplinary, peer-reviewed, open access journal published semimonthly online by MDPI, and that publishes reviews, regular research papers, communications, and short notes that are relevant to any field of study that involves nanomaterials with respect to their science and applications. The Spanish Carbon Group (GEC) and The Chinese Society of Micro-Nano Technology (CSMNT) are affiliated with Nanomaterials and their members receive discounts on the article processing charges.
  • Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
  • High Visibility: indexed within Scopus, SCIE (Web of Science), PubMed, PMC, CAPlus / SciFinder, Inspec, and other databases.
  • Journal Rank: JCR - Q2 (Physics, Applied) / CiteScore - Q1 (General Chemical Engineering )
  • Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 12.5 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the first half of 2026).
  • Recognition of Reviewers: Reviewers whose reports are timely and of high quality receive an APC discount voucher for a future publication in an MDPI journal. Become a reviewer.
  • Companion journals for Nanomaterials include: Nanomanufacturing and Applied Nano.

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All Articles (22,731)

  • Article
  • Open Access

Shale oil reservoirs exhibit strong heterogeneity and complex rock mechanical properties. Accurate geomechanical modeling is crucial for optimizing horizontal well trajectories and designing fracturing parameters. Traditional mechanical experiments are costly and provide limited data, while empirical formulas suffer from poor regional applicability. Machine learning models designed to predict reservoir mechanical parameters commonly overlook lithofacies-specific variations. To overcome this limitation, this paper presents and adopts a novel workflow that combines micromechanical characterization, machine learning prediction, and mechanical upscaling. Nanoindentation tests are first performed in Well W1 in the Ordos Basin to obtain the mechanical properties of different micro-constituents in shale. Then, a machine learning model is used to establish the relationship between conventional well logs and micro-constituent contents, thereby predicting the distribution of micro-constituents along the entire wellbore. Finally, based on micromechanical derivation, the Mori–Tanaka model is applied for mechanical upscaling to obtain the Young’s modulus. The feasibility of this method is validated by comparing the results with those calculated from conventional well log data. This approach combines the high-precision micromechanical characterization of nanoindentation with the predictive capability of machine learning. It overcomes the limitations of elemental capture spectroscopy logging (namely, its high cost and insufficient organic matter information) and provides a new pathway for establishing one-dimensional geomechanical models.

Nanomaterials

29 September 2026

Schematic diagram of the nanoindentation test. (a) SEM; (b) EDS; (c) SPM; (d) nanoindentation.
  • Article
  • Open Access

Negative photoconductivity (NPC) in low-dimensional materials has attracted considerable interest for its potential in novel optoelectronic devices. Here, we report an ultra-broadband NPC response in FePd2Te2, a van der Waals ferromagnet, spanning from visible to long-wavelength infrared at room temperature. The device achieves a responsivity of ~4.9 A/W and external quantum efficiency of ~240% at 2500 nm, with a noise-equivalent power (NEP) below 3.0 × 10−15 W/Hz1/2 and a specific detectivity (D*) exceeding 3.6 × 1011 cmHz1/2/W across the infrared range. Systematic measurements identify the photobolometric effect as the underlying mechanism, wherein wavelength-dependent absorption depths play a key role in shaping the photoresponse characteristics. These results establish FePd2Te2 as a promising platform for uncooled broadband infrared detection and highlight the potential of magnetic van der Waals materials for future optoelectronics.

Nanomaterials

29 September 2026

Characterizations of the FePd2Te2 single crystal and the device configuration. (a) Crystallographic structure of FePd2Te2. (b) Optical image of the FePd2Te2 nanoflake on the bottom electrode. (c) The step-height profiles of the FePd2Te2 flake. The inset is the atomic force microscope image of the FePd2Te2 device (the scale bar is 5 μm). (d) X-ray diffraction pattern of the FePd2Te2 crystal. (e) Temperature-dependent resistivity of the FePd2Te2 single crystal. The inset shows the derivative of the resistivity curve. (f) Temperature-dependent zero-field-cooled (ZFC) and field-cooled (FC) magnetic susceptibility of the FePd2Te2 single crystal at μ0H = 0.1 T. The inset shows the derivative of the magnetic susceptibility.
  • Review
  • Open Access

DNA has evolved from a carrier of genetic information into a programmable material for constructing nanoscale architectures with precise structural and functional control. Among these systems, tetrahedral DNA nanostructures (TDNs) comprise at least two experimentally distinct structural families: small scaffold-free tetrahedra assembled from a few synthetic oligonucleotides, often termed tetrahedral framework nucleic acids (tFNAs), and larger scaffolded or wireframe tetrahedral DNA-origami objects. This review integrates assembly principles, computational and sequence-level design, physicochemical stability, fabrication, structural validation, biological performance, and translational evidence while keeping these two families analytically separate. For few-strand TDNs, particular attention is given to ionic conditions, pH, temperature, serum and nuclease exposure, cellular uptake, targeting aptamers, and delivery of drugs and regulatory nucleic acids; scaffolded tetrahedral origami is discussed where its routing, mechanics, manufacturing, or larger spatial capacity are directly relevant. Recent in vivo studies provide evidence for tissue distribution, transdermal delivery, and short-term biocompatibility of selected few-strand TDN formulations, but the translational evidence remains predominantly preclinical. Rather than positioning TDNs as universally superior nanocarriers, this review emphasizes architecture-specific evidence, quantitative experimental conditions, and the limits of transferring conclusions between structural families. Progress toward translational nanomedicine will require validated design rules, matched-condition benchmarking, pharmacokinetic and biodistribution studies, scalable manufacturing, standardized quality attributes, and rigorous safety assessment.

Nanomaterials

29 September 2026

Evidence-based physicochemical and biological stress trajectory relevant primarily to few-strand tetrahedral DNA nanostructures (TDNs/tFNAs). The schematic summarizes key conditions encountered during biological transit, including ionized magnesium, pH transitions, physiological temperature, serum and nuclease exposure, and cellular entry. Numerical values are shown only when supported by defined physiological or experimentally reported ranges, whereas structural and biological outcomes remain dependent on sequence, size, formulation, ionic environment, and experimental conditions. The scheme is not intended to imply direct head-to-head superiority over other DNA nanostructures or to extrapolate these behaviors to scaffolded/wireframe tetrahedral origami without direct evidence. Solid arrows indicate the sequential biological trajectory, dotted connectors link each stress condition to the central TDN, and the color-coded panels and schematic shapes distinguish the principal physicochemical and biological environments encountered during transit. The ionized-magnesium context is supported by Refs. [20,21,38]; pH conditions and pH-dependent TDN responses by Refs. [42,43,44]; thermal behavior by Refs. [21,46,47]; serum and nuclease exposure by Refs. [16,17,23]; and cellular entry by Refs. [11,12]. TDN, tetrahedral DNA nanostructure; tFNA, tetrahedral framework nucleic acid; Mg2+, magnesium ion. Original graphical representation created by the authors with graphical assistance from ChatGPT (GPT-5.6 Sol, OpenAI, 2026), with OpenAI image-generation tools.
  • Article
  • Open Access

Molecular dynamics simulations were employed to investigate the effects of cutting speed and cutting depth on the nanocutting behavior of carbon nanotube (CNT)-reinforced Ni composites. The results show that increasing cutting speed from 50 to 200 m/s reduces the average tangential cutting force by approximately 16.5%, while the cutting temperature increases by 26.7% at a cutting distance of 200 Å. Cutting depth produces a stronger influence on subsurface deformation, with deeper cutting accompanied by increased stress localization, structural disorder, and dislocation activity. In contrast, dislocation evolution exhibits a non-monotonic dependence on cutting speed, indicating that thermal and mechanical effects act concurrently under different cutting conditions. Pronounced changes in local deformation and dislocation behavior are also observed near the CNT–matrix region. These results characterize the coupled thermomechanical and defect responses of the selected CNT–Ni system under different nanocutting conditions.

Nanomaterials

28 September 2026

Illustration of the CNT–Ni composite nanocutting MD simulation model: (a) three-dimensional view; (b) cross-sectional view.

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Advanced Nanomaterials and Energetic Application
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Advanced Nanomaterials and Energetic Application

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Editors: Weiqiang Pang, Djalal Trache, Kaili Zhang
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Nanomaterials - ISSN 2079-4991