Promising Materials Features Transforming Sustainable Development with Intelligence and Green Chemistry: Exclusive Paradigm of the Volume 12 of Advanced Materials Letter, July 2021

Favorable materials feature such as bioactivity, resistivity, thermomagnetic, interfacing, sensing is scalable with artificial intelligence, modeling, nanotechnology and green chemistry approaches. Advanced materials shifting paradigm towards sustainable development extensively with intelligence and green technologies. The responsibility that artificial intelligence competes in life have appeared as important performers in shaping materials world. Nevertheless, advanced materials have seemed like vital players in eco-friendly sustainability by adopting green chemical technologies. The materials world adopting solutions with sustainability model, in light weighting engineering, mixed materials, 3D printing, biomaterials etc. through enhancing characteristics via development of intelligent materials, nanomaterials and green materials formulations. United Nation’s Sustainable Development Goals (SDGs) previously refer to significance of green environment and advanced technologies. The July issue of the Advanced Materials Letters (AML,  provides a glimpse of some promising materials in diverse developing stages with importance on the performance enrichment.

Advanced Materials Letters (AML, is a Diamond Open Access official journal of International Association of Advanced Materials (IAAM, a non-profit Scientific Organization, publishing technical articles in the area of materials science, engineering, and technology.

Call for Proposals for publication of special issue in the Advanced Materials Letters on the 'Advancement of Materials to Sustainable and Green Process and Applications'. Please submit your proposal to Dr. Dana Cristina Toncu, Managing Editor at on or before 30 September 2021.

The perception of July 2021 issue of Advanced Materials Letters is to demonstrate signs of artificial intelligence, nanotechnology and green chemistry in materials research. The present issue represents eight amazing articles exemplifying the materials research for worldwide readers. In this issue intelligent materials and modeling research discussed in the article number one, two and three. These articles define the technologies of Artificial Intelligence, Nano-interface and Modeling research involved in transforming materials for healthcare and environment. Green materials chemistry is one of key aspects discussed in the article number four and eight. These articles explain the nanomaterials synthesis based on green chemistry approaches. Further, these studies were helpful in understanding application of bioactive materials in health and food industry. Materials behavior in various experimental setup discussed in the article number five, six and seven. These articles correspond to the materials features based on structural, electrical, temperature and magnetic performance. Further real applications of these materials can be used for devices as microelectronic components, thermomagnetic sensing and thermistor-based electrical models etc. The July issue of Advanced Materials Letters symbolizes the exclusive paradigm of materials research towards the concept of green world.

About Cover

Artificial intelligence has become a useful technology with enormous capacity and performance. Numerous categories of AI are being utilized by customers and providers with functions consist of diagnosis, treatment recommendations, organizational actions, patient engagement, and adherence. The cover photo of this July 2021 issue of Advanced Materials Letters is inspired by the editorial article by Dr. Ashutosh Tiwari, Editor-in-Chief, Advanced Materials Letters.

Article 1. Transforming Paradigm of Artificial Intelligence for Scalable Clinical Healthcare

The first article of the issue is reported by the Ashutosh Tiwari from Institute of Advanced Materials, IAAM, Sweden. This article discussed the Artificial intelligence (AI) for healthcare and sustainability perspective. AI & machine learning algorithms strengthen the medical research and revolutionized the healthcare sector. In AI based system, prediction models are developed to identify key variables in any input datasets. Although, accuracy in the clinical healthcare is the major challenge for computer-based diagnosis and treatment process. Therefore, substantial improvement required for clinical identification due to risk associated with clinical complexity of the disease.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051642. [Download Full Text in PDF]

Article 2. A Review on Harnessing Nanomaterials as Promising Materials Interface

The second article explains the promising materials interface research. This article is reported by the Bindu Mangla et al from J.C. Bose University of Science and Technology, Shoolini University of Biotechnology and Management Sciences and Institute of Advanced Materials, IAAM, Sweden. In this article two fundamental sorts of nanoparticles are discussed i.e., metallic nanoparticle and polymeric nanoparticle. This review summarizes the synthesis and fabrication of nanomaterials. Applications of nanomaterials are also included in this review mainly focusing on biosensor, gas sensor, wastewater treatment and environmental applications. Nanomaterials offer the potential for the productive expulsion of pollutants and biological contaminants thus extremely valuable in environment and wastewater treatment. Nanomaterials are highly recommended in future for these properties, mainly for their use in healthcare sector.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051643. [Download Full Text in PDF]

Article 3. A New Epidemic Spreading Model to Predict the Spread and Accumulation of Corona Virus (COVID-19) Positive Cases as A Function of Time

The third article of this issue is published by the Richard D. Sudduth from Materials Research and Processing, LLC, United States of America. This article describes the model to predict the spread of disease in a population during a disease epidemic. This new Epidemic Spreading Model has been successful in predicting the spread of the Corona Virus (COVID-19) in the United States from the beginning of the accumulation of positive cases on January 22, 2020, using Corona Virus (COVID-19) data collected by Johns Hopkins University.  Interestingly, this model also appears to be able to separate the disease propagation from the disease mitigation. This model has also been reasonably successful in predicting the spread of the Corona Virus (COVID-19) worldwide as well.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051644. [Download Full Text in PDF]

Article 4. Green Synthesis of ZnO and Ag-ZnO Nanoparticles Using Macrotyloma Uniflorum: Evaluation of Antibacterial Activity

The fourth article strongly suggest green synthesized nanoparticles as a potent agent for biological applications. In this work, using Macrotyloma Uniflorum leaves an affordable and eco-friendly, ZnO and Ag-ZnO metal oxide nanoparticles were reported. The minimum inhibitory concentrations (MIC) of these ZnO and Ag-ZnO nanoparticles and mixtures thereof, Ag-ZnO, were determined on B. subtilis, Streptococci and E. coli cultures. MIC and their antimicrobial activity were studied in vitro; both types of nanoparticles showed high antibacterial activity. Also, it has shown excellent results with MIC value for antibacterial activity against ZnO and Ag-ZnO nanoparticles. The Ag-ZnO nanoparticles were shown better antimicrobial effect than the ZnO nanoparticles.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051645. [Download Full Text in PDF]

Article 5. Feature Behavior of Resistivity in Bi Foils Obtained by A Melt Spinning Method

The fifth article is reported by the Gennadiy N. Kozhemyakin and Stanislav Y. Kovalev from Russian Academy of Sciences, Russia. In this work, the microstructure and resistivity in Bi foils at cryothermal treatment have been studied. Here, the foil samples were characterized using XRD to identify the plane orientations and SEM to observe the morphology. The resistivity of Bi foils was measured by two-point probe method at temperatures of 77-300 K using a laboratory cryostat. The formation of Bi polycrystalline foils with a specific orientation allowed the authors to discover SMSC (Semimetal-Semiconductor Transition) in Bi foils. The experimental results showed that cryothermal treatment provided exfoliation of Bi bilayers with appearance charge carriers and surface conductivity in Bi foils that can be used for real applications in microelectronic components.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051646. [Download Full Text in PDF]

Article 6. Thermomagnetic Properties of Metal and Metal-Oxide Nanoparticles

The sixth article discussed the variation of thermomagnetic properties of nanoparticles. In this work the authors develop a suitable model for the study of magnetic properties, the size and shape dependent magnetic properties such as Curie temperature (TC), Neel temperature (TN) and magnetization (MS) of magnetic nanoparticles. It is observed that the introduction of packing fraction of materials to this model supports the experimental facts. The obtained results have been explained by considering the concept of dangling bond at the surface of nanoparticle and packing fraction of crystal. The validity of present model is helpful in predicting the behavior of thermomagnetic properties of other nanoparticles.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051647. [Download Full Text in PDF]

Article 7. Effect On Structural, Electrical and Temperature Sensing Behavior of Neodymium Doped Bismuth Ferrite

The seventh article of the issue investigates about the synthesis of polycrystalline samples and their structural properties. This article is authored by the A. K. Sahu et al from Sambalpur University and Centurion University of Technology and Management, India. Here, dielectric study of the compounds was performed at different frequencies for various temperatures. The non-Debye type of relaxation process confirmed from impedance analysis. The materials showed a negative temperature coefficient of resistance (NTCR) behavior at various temperatures and frequencies. AC conductivity of the materials with frequency at different temperatures satisfied the universal power law of Johnscher. Here, thermistor constant, sensitivity factor, and stability factor for all the samples were calculated and confirmed the characteristics of NTC thermistor.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051648. [Download Full Text in PDF]

Article 8. Novel Green Chemistry Synthesis of Nano-Hydroxyapatite Using Soya Milk as A Natural Stabiliser

In the eighth article, author explored the novel green chemistry synthesis of Nano-Hydroxyapatite (HAP) using Soya Milk (SM) as a Natural Stabiliser. This article is authored by the Sreedevi Nimishakavi et al from Vignan's Foundation for Science Technology and Research, International Advanced Research Centre for Powder Technology (ARCI) and Defense and Metallurgical Research Laboratory (DMRL), India. The HAP is a biocompatible material and widely used in orthopaedic and dental applications. Nano-HAP powders are characterized using XRD, SEM, EDS and FTIR. These results show that the nano- HAP powders obtained by green chemistry synthesis using Soya Milk (SM) as a Natural Stabiliser (NS) appear to be quite promising due to optimized pH and components ratio values that can be adapted for future research and development.

Citation of the article: Adv. Mater. Lett., 2021, 12(7), 21051649. [Download Full Text in PDF]

Advanced Materials Letters (AML), July 2021 issue exhibit the joint framework of 2030 UN’ sustainability agenda for advanced materials development. Utilization of efficient method for cost-effective materials will be able to fulfill the ever-increasing demands of materials. International Association of Advanced Materials, IAAM is engaged in the campaign of not-for-profit Diamond Open Access Publishing schemes with the goal of “Advancement of Materials to Global Excellence”.

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