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Crystals
Special Issues
Synthesis, Characterizations and Applications of Atomically Precise Nanomaterials
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Synthesis, Characterizations and Applications of Atomically Precise Nanomaterials

A special issue of Crystals (ISSN 2073-4352). This special issue belongs to the section "Crystal Engineering".

Deadline for manuscript submissions: closed (15 September 2025) | Viewed by 422

Special Issue Editors

Dr. Haixiang Han

E-Mail Website
Guest Editor
School of Materials Science and Engineering, Tongji University, Shanghai, China
Interests: nanocrystal structure; X-ray diffraction; single-source precursor design; nanomaterial self-assembly
Special Issues, Collections and Topics in MDPI journals
Dr. Longlong Geng

E-Mail Website
Guest Editor
College of Chemistry and Chemical Engineering, Dezhou University, Dezhou, China
Interests: metal organic frameworks; crystal phase modulation; nanocatalysts; supported metal oxides

Special Issue Information

Dear Colleagues,

Nanoclusters that feature atomically precise structures have emerged as an important platform to bridge the gap between small molecules and relatively macroscopic nanocrystals. Their atomically well-defined structures enable reliable establishment of structure–property relationships and provide guidance to design desired nanostructures. More importantly, nanoclusters usually feature small sizes of less than 3 nm, which endow them with quite unique chemophysical properties due to the strong quantum confinement. This Special Issue aims to collect recent research advancements in the fields of synthesis, characterizations, or applications of nanomaterials with new structures. Any related subjects are also welcomed in this Special Issue.

Dr. Haixiang Han
Dr. Longlong Geng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Crystals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nanoclusters
  • nanostructures
  • catalysis
  • single crystal X-ray diffraction
  • crystal growth

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Published Papers (1 paper)

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Research

27 pages, 4821 KB  
Article
Experimental Investigation and Machine Learning Modeling of Electrical Discharge Machining Characteristics of AZ31/B4C/GNPs Hybrid Composites
by Dhanunjay Kumar Ammisetti, Satya Sai Harish Kruthiventi, Krishna Prakash Arunachalam, Victor Poblete Pulgar, Ravi Kumar Kottala, Seepana Praveenkumar and Pasupureddy Srinivasa Rao
Crystals 2025, 15(10), 844; https://doi.org/10.3390/cryst15100844 (registering DOI) - 27 Sep 2025
Abstract
Magnesium alloys, like AZ31, possess a desirable low weight and high specific strength, which make them favorable for aerospace and auto applications, yet their difficulty to machine limits their broader implementation for the industry. Electrical discharge machining (EDM) is an effective technology for [...] Read more.
Magnesium alloys, like AZ31, possess a desirable low weight and high specific strength, which make them favorable for aerospace and auto applications, yet their difficulty to machine limits their broader implementation for the industry. Electrical discharge machining (EDM) is an effective technology for machining difficult-to-machine materials, particularly when the materials are reinforced with ceramic and graphene-based fillers. This study examines the impact of reinforcement percentage (R) and different electrical discharge machining (EDM) parameters such as current (I), pulse on time (Ton) and pulse off time (Toff) on the material removal rate (MRR) and surface roughness (SR) of AZ31/B4C/GNPs composites. The combined reinforcement range varies from 2 wt.% to 4 wt.%. The Taguchi design (L27) is utilized to conduct the experiments in this study. ANOVA of the experimental data indicated that current (I) significantly affects MRR and SR, exhibiting the greatest contribution of 44.93% and 51.39% on MRR and SR, respectively, among the variables analyzed. The surface integrity properties of EDMed surfaces are examined using SEM under both higher and lower material removal rate settings. Diverse machine learning techniques, including linear regression (LR), polynomial regression (PR), Random Forest (RF), and Gradient Boost Regression (GBR), are employed to construct an efficient predictive model for outcome estimation. The built models are trained and evaluated using 80% and 20% of the total data points, respectively. Statistical measures (MSE, RMSE, and R2) are utilized to evaluate the performance of the models. Among all the developed models, GBR exhibited superior performance in predicting MRR and SR, achieving high accuracy (exceeding 92%) and lower error rates compared to the other models evaluated in this work. This work demonstrated the synergy between techniques in optimizing EDM performance for hybrid composites using a statistical design and machine learning strategies that will facilitate greater use of hybrid composites in high-precision engineering applications and advanced manufacturing sectors. Full article
(This article belongs to the Special Issue Synthesis, Characterizations and Applications of Atomically Precise Nanomaterials)
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