Featured Papers for Journal of Experimental and Theoretical Analyses (JETA)—Second Edition

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Guest Editor
1. Department of Basic and Applied Sciences for Engineering (SBAI), SAPIENZA University of Rome, Via A. Scarpa, 16-0161 Rome, Italy
2. Research Center of Nanotechnologies for Engineering (CNIS), SAPIENZA University of Rome, Via A. Scarpa, 16-0161 Rome, Italy
Interests: nanoscience and nanotechnology, with a focus on the design and structure–property analysis of nanostructured materials; extensive experience in multiscale, multifunctional characterization, with strong expertise in electron microscopies (TEM/SEM/STEM and related techniques), electron diffraction, scanning probe methods, and Raman spectroscopy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The synergistic relationship between theory and experiment is the core engine of progress in science and engineering. At the Journal of Experimental and Theoretical Analyses: Advanced Methods for Science, Engineering, and Technology (JETA) (ISSN 2813-4648), we are committed to exploring these connections through methodologically rigorous and conceptually innovative research. This journal is a dedicated platform for presenting original, cutting‑edge, quantitative and advanced methodological studies that push the boundaries of what is possible in science, engineering, and technology. With this second Featured Papers volume, we will highlight contributions that set clear methodological benchmarks and deliver results of broad relevance to the community.

JETA is dedicated to publishing research on analytical methods and their applications, covering both experimental and theoretical approaches including, but not limited to, the following:

  • Functional and performance‑oriented measurements (e.g., electrical, mechanical, thermal, electrochemical, magnetic, transport, etc.) aimed at quantifying device/material performance and physical response;
  • Multi-technique and multi-scale characterization methodologies (from microscopy to spectroscopy), including correlative workflows and quantitative metrology across length and time scales;
  • Modeling and simulation frameworks, including physics-based, multiscale, and multiphysics approaches, as well as digital twins and simulations supporting experimental design, interpretation, and validation;
  • Advanced data analysis, including uncertainty quantification, statistical inference, signal/image processing, inverse methods, automation, and AI/ML-assisted pipelines for extracting robust, reproducible metrics from complex datasets.

JETA also encourages the submission of papers that integrate AI-driven approaches into computational methods, theoretical analysis, imaging, and experimental data analysis, provided they deliver clear methodological advances and/or robust, evidence-based insights, fully aligned with the journal’s scope and the topics listed below and adhere to the highest standards of scientific reproducibility and transparency.

As Editor-in-Chief, I encourage submissions that reflect the journal's commitment to excellence in both theoretical and experimental analyses. JETA particularly welcomes papers that make their methodological contribution explicit, support claims with appropriate validation, and enable reproducibility through clear reporting.

I look forward to the invaluable insights that our contributors will share as we collectively strive to advance the frontiers of science and engineering knowledge.

Prof. Dr. Marco Rossi
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Experimental and Theoretical Analyses is an international peer-reviewed open access quarterly 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 1000 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

  • bioengineering and biotechnology
  • materials science and engineering
  • electric and electronic engineering and technology
  • civil and mechanical engineering and technology
  • chemistry, chemical engineering and environmental science
  • food science and engineering
  • engineering optimization and optimal design

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Related Special Issue

Published Papers (1 paper)

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Review

65 pages, 3679 KB  
Review
Integrated Experimental–Theoretical and Data-Driven Multiphysics Analysis of Material Properties in Coatings, Pretreatments, Interfaces, and Artificial Intelligence-Assisted Reliability for Medical and Biomedical Devices
by Marshall Shuai Yang and Chengqian Xian
J. Exp. Theor. Anal. 2026, 4(2), 21; https://doi.org/10.3390/jeta4020021 - 15 Jun 2026
Viewed by 302
Abstract
Surface engineering strongly influences the performance, reliability, and safety of medical and biomedical devices, yet failures often originate at interfaces rather than in bulk materials alone. This review addresses the fragmented evidence base linking coating selection, interphase design, qualification testing, advanced characterization, and [...] Read more.
Surface engineering strongly influences the performance, reliability, and safety of medical and biomedical devices, yet failures often originate at interfaces rather than in bulk materials alone. This review addresses the fragmented evidence base linking coating selection, interphase design, qualification testing, advanced characterization, and data-driven durability analysis. The objective is to provide an integrative, failure-mode-based framework for implants, reusable instruments, inhalation systems, diagnostics, wearables, and implantable electronics. A narrative synthesis of the peer-reviewed literature in coatings, biomaterials, electrochemistry, reliability, standards, and materials informatics was conducted, with qualitative tables used only when protocols were too heterogeneous for numerical pooling. The review compares physical vapor deposition (PVD), chemical and plasma-enhanced chemical vapor deposition (CVD/PECVD), atomic layer deposition (ALD), sol–gel/organically modified silica (ORMOSIL) hybrids, plasma polymers, parylene, bioactive or antimicrobial surfaces, and electronic encapsulation strategies. The main finding is that no universally superior coating exists; reliable performance depends on matching architecture and characterization to the dominant failure pathway, substrate compliance, geometry, sterilization or physiologic exposure, and the standards-constrained endpoint. The review further shows how electrochemical diagnostics, interfacial mechanics, multiphysics models, survival/reliability statistics, and carefully governed AI workflows can be combined to support service-life prediction and decision-oriented qualification. Full article
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