Nanomaterials Data - Nanotechnology

What are Nanomaterials?

Nanomaterials are materials with structural features at the nanoscale, typically less than 100 nanometers. These materials can exhibit unique physical, chemical, and biological properties compared to their bulk counterparts, making them highly valuable in various applications. Examples include carbon nanotubes, quantum dots, and fullerenes.

How are Nanomaterials Characterized?

Characterization of nanomaterials involves a variety of techniques to determine their size, shape, surface area, and other properties. Common techniques include Transmission Electron Microscopy (TEM), Scanning Electron Microscopy (SEM), Atomic Force Microscopy (AFM), and X-ray Diffraction (XRD). These methods help in understanding the material's morphology, crystallinity, and surface characteristics.

What are the Applications of Nanomaterials?

Nanomaterials have a wide range of applications across various fields. In the medical field, they are used for drug delivery, imaging, and biosensors. In electronics, they enhance the performance of semiconductors and transistors. They are also used in environmental remediation, energy storage, and catalysis.

What are the Risks Associated with Nanomaterials?

Despite their benefits, nanomaterials pose potential risks to human health and the environment. Their small size allows them to penetrate biological membranes and accumulate in organs, leading to potential toxicity. Environmental risks include the persistence and accumulation of nanomaterials in ecosystems. Therefore, regulation and safety assessments are crucial to mitigate these risks.

What is the Role of Data in Nanomaterials Research?

Data plays a crucial role in the research and development of nanomaterials. Comprehensive datasets encompassing the properties, synthesis methods, and applications of nanomaterials enable researchers to design better materials and predict their behavior. Data science techniques, including machine learning and artificial intelligence, are increasingly being used to analyze and interpret complex nanomaterials data.

How is Data Sharing Facilitated in the Nanotechnology Community?

Data sharing is facilitated through various platforms and databases, such as the Nanomaterial Registry and PubChem. These repositories provide standardized data and protocols, enhancing reproducibility and collaboration among researchers. Open-access journals and conferences also play a significant role in disseminating nanomaterials data.

Future Directions in Nanomaterials Data

The future of nanomaterials data lies in the integration of multidisciplinary approaches, combining experimental, computational, and theoretical methods. Advances in high-throughput screening and in-silico modelling will further accelerate the discovery and optimization of nanomaterials. Moreover, the development of comprehensive and interoperable databases will enhance data sharing and collaboration, driving innovation in nanotechnology.

Relevant Publications

Nanomaterials in plant physiology: main effects in normal and under temperature stress.

Issue Release: 2024

Building species trait-specific nano-QSARs: Model stacking, navigating model uncertainties and limitations, and the effect of dataset size.

Issue Release: 2024

A materials terminology knowledge graph automatically constructed from text corpus.

Issue Release: 2024

Unlocking the potential of carbon dots in agriculture using data-driven approaches.

Issue Release: 2024

Clinical translation of nanomedicine with integrated digital medicine and machine learning interventions.

Issue Release: 2024

Preparation of amphiphilic poly(divinylbenzene--vinylpyrrolidone)-functionalized polydopamine magnetic nanoadsorbents for enrichment of synthetic cannabinoids in wastewater.

Issue Release: 2024

Electrophysiological and biochemical effect of zinc oxide nanoparticles on heart functions of male Wistar rats.

Issue Release: 2024

Physicochemical and biological properties of dental materials and formulations with silica nanoparticles: A narrative review.

Issue Release: 2024

Engineering of LiTaO Nanoparticles by Flame Spray Pyrolysis: Understanding Li-Incorporation into the TaO Lattice.

Issue Release: 2024

Marginated Neutrophils in the Lungs Effectively Compete for Nanoparticles Targeted to the Endothelium, Serving as a Part of the Reticuloendothelial System.

Issue Release: 2024

Ensuring food safety by artificial intelligence-enhanced nanosensor arrays.

Issue Release: 2024

Application of MTT assay for probing metabolic activity in bacterial biofilm-forming cells on nanofibrous materials.

Issue Release: 2024

Titanium dioxide nanoparticles enhance the detrimental effect of polystyrene nanoplastics on cell and plant physiology of (L.) Coss. & Germ. seedlings.

Issue Release: 2024

Construction of a novel ternary synergistic CuFeO-SnO-rGO heterojunction for efficient removal of cyanide from contaminated water.

Issue Release: 2024

Understanding how junction resistances impact the conduction mechanism in nano-networks.

Issue Release: 2024

ATENA: A Web-Based Tool for Modelling Metal Oxide Nanoparticles Based on NanoFingerprint Quantitative Structure-Activity Relationships.

Issue Release: 2024

Everything falls apart: How solids degrade and release nanomaterials, composite fragments, and microplastics.

Issue Release: 2024

Preparations and Thermal Properties of PDMS-AlN-AlO Composites through the Incorporation of Poly(Catechol-Amine)-Modified Boron Nitride Nanotubes.

Issue Release: 2024

Advancing Nanomaterial Toxicology Screening Through Efficient and Cost-Effective Quantitative Proteomics.

Issue Release: 2024

MXene-Enhanced Ionovoltaic Effect by Evaporation and Water Infiltration in Semiconductor Nanochannels.

Issue Release: 2024

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