Publications (10)
The Early Crystal Nucleation Process in Hard Spheres shows Synchronised Ordering and Densification
Joshua T. Berryman, Muhammad Anwar, Sven Dorosz +1
We investigate the early part of the crystal nucleation process in the hard sphere fluid using data produced by computer simulation. We find that hexagonal order manifests continuo…
Classification of Safety Events at Nuclear Sites using Large Language Models
Mishca de Costa, Muhammad Anwar, Daniel Lau +1
This paper proposes the development of a Large Language Model (LLM) based machine learning classifier designed to categorize Station Condition Records (SCRs) at nuclear power stati…
Enhancing Accuracy and Maintainability in Nuclear Plant Data Retrieval: A Function-Calling LLM Approach Over NL-to-SQL
Mishca de Costa, Muhammad Anwar, Dave Mercier +2
Retrieving operational data from nuclear power plants requires exceptional accuracy and transparency due to the criticality of the decisions it supports. Traditionally, natural lan…
AI-Assisted Knowledge Access for Legacy Enterprise Asset Management in Energy Operations: A Practical Retrieval System
Dave Mercier, Mishca de Costa, Muhammad Anwar +2
Energy utilities still run engineering work management, engineering procurement, and inventory processes on long-lived enterprise asset management platforms. Replacing these platfo…
Crystallization mechanism in melts of short n-alkane chains
Muhammad Anwar, Francesco Turci, Tanja Schilling
We study crystallization in a model system for eicosane (C20) by means of molecular dynamics simulation and we identify the microscopic mechanisms of homogeneous crystal nucleation…
Towards Secure and Private Language Models for Nuclear Power Plants
Muhammad Anwar, Mishca de Costa, Issam Hammad +1
This paper introduces a domain-specific Large Language Model for nuclear applications, built from the publicly accessible Essential CANDU textbook. Drawing on a compact Transformer…
Crystal nucleation mechanism in melts of short polymer chains under quiescent conditions and under shear flow
Muhammad Anwar, Joshua T. Berryman, Tanja Schilling
We present a molecular dynamics simulation study of crystal nucleation from undercooled melts of n-alkanes, and we identify the molecular mechanism of homogeneous crystal nucleatio…
Evaluating ChatGPT on Nuclear Domain-Specific Data
Muhammad Anwar, Mischa de Costa, Issam Hammad +1
This paper examines the application of ChatGPT, a large language model (LLM), for question-and-answer (Q&A) tasks in the highly specialized field of nuclear data. The primary focus…
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets
Muhammad Anwar, Changlong Wang, Frits de Nijs +1
Driven by the global decarbonization effort, the rapid integration of renewable energy into the conventional electricity grid presents new challenges and opportunities for the batt…
Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data
Muhammad Anwar, Daniel Lau, Mishca de Costa +1
The nuclear industry possesses a wealth of valuable information locked away in unstructured text data. This data, however, is not readily usable for advanced Large Language Model (…