Physics-Informed Machine Learning Society

  • FDP: 25 September 2026

  • Annual Meeting: 08–09 July 2027

  • Andhra Pradesh, India

  • pimlsociety@gmail.com

Official Journal of PIMLS

Computing Technology Research Journal

An International Peer-Reviewed Open-Access Scholarly Journal

Computing Technology Research Journal (CTRJ) publishes research in computing technologies with a primary focus on engineering principles, computational methods and physics-informed approaches in machine learning and intelligent computer systems.

The journal provides an interdisciplinary forum connecting computer science, engineering, mathematical modelling, scientific computing and responsible artificial intelligence.

  • International and peer reviewed
  • Open-access scholarly journal
  • Four issues planned annually
  • ISSN 2583-6501
Journal profile

Engineering Knowledge Meets Machine Intelligence

CTRJ welcomes work that contributes to the theory, methods and applications of PIML, engineering-driven AI, computational modelling, numerical methods and closely related interdisciplinary fields.

  • Research articles
  • Review articles
  • Short communications
  • Technical notes and perspectives
  • Case studies and scholarly reviews
Aims and scope

Research Areas Welcomed by CTRJ

The journal brings together methodological advances and substantive engineering applications.

Physics-Informed Machine Learning

PINNs, physics-guided learning, hybrid models, differentiable simulation and knowledge-informed artificial intelligence.

Scientific Machine Learning

Neural operators, surrogate modelling, inverse problems, uncertainty quantification and scientific discovery.

Computational Engineering

Numerical methods, computational mechanics, fluid and thermal systems, multiphysics and simulation acceleration.

Engineering-Driven AI

Intelligent systems grounded in domain knowledge, constraints, sensing, optimisation and engineering design.

Data and Intelligent Systems

Machine learning, deep learning, computer vision, signal analysis, decision systems and trustworthy computing.

Interdisciplinary Applications

Applications spanning mechanical, civil, chemical, electrical, biotechnology, materials and allied sciences.

For prospective authors

Preparing Work for CTRJ

Authors should consult the journal's current instructions before preparing a manuscript. The official CTRJ guidance provides the manuscript structure, formatting requirements, reference style, supporting-material expectations and submission procedure.

Manuscript Preparation

The journal requests manuscripts in English using the official CTRJ manuscript template. A typical paper includes the title, author details and affiliations, abstract, keywords, introduction, methods, results and discussion, conclusions and references, with other sections included where appropriate.

Clear Research Contribution

State the research question, scientific motivation, methodological contribution and significance to computing or engineering.

Reproducible Methods

Describe data, governing knowledge, models, training procedures, baselines and evaluation conditions clearly.

Engineering Validation

Use meaningful comparisons, suitable performance measures and validation on relevant systems or datasets.

Responsible Reporting

Present limitations, assumptions, authorship, conflicts, data sources and ethical considerations transparently.

Editorial Leadership

Siva Kiran RR serves on the journal's editorial leadership. The full editorial team, associate editors and advisory panel are maintained on the official CTRJ website.