Preprint · Hypersonic computational fluid dynamics
Admissible Coarse-to-Fine Continuation of Reacting Hypersonic Flow on Native Hexahedral Grids
Abstract excerpt
A developed reacting-air solution is transferred to an unchanged, 41,962,496-hexahedron domain through an admissibility-checked continuation method. Seven species, two thermal energies, and shear-stress-transport turbulence are coupled through thermodynamic, acoustic, charged-transport, and nonlinear-update equations.
Philipbar Analytics LLC · Author preprint · 6 October 2026 · Intended submission: AIAA Journal of Propulsion and Power
Read the paper ↗︎White paper · 2026
A System Entity Structure Methodology for Verifiable, Embedding-Grounded LLM-Agent Orchestration in DEVS
Abstract excerpt
We present a System Entity Structure methodology for orchestrating large language model agents as a Discrete Event System Specification coupled model, with verification and validation carried out through the DEVS hierarchy of system specifications and its morphisms.
INCOSE IS2026 · Paper 490
Read the paper ↗︎Published article · 2026
From Rules to Agentic Swarms: A Systems Engineering Journey Through the Evolution of AI
Abstract excerpt
Artificial intelligence (AI) for systems engineering has evolved through six paradigms in five decades: expert systems, machine learning, deep learning, large language models, agentic AI, and agentic swarms, with each paradigm shorter than the last.
INCOSE INSIGHT · Volume 29, Issue 3 · Pages 19–28
Read the paper ↗︎Published symposium paper · 2026
MATH‐BASED DATA STRUCTURES AND ANALYSIS FOR MISSION ENGINEERING
Abstract excerpt
The future of systems engineering (FuSE) calls for increased rigor, grounded in math‐based approaches.
INCOSE International Symposium · Volume 36, Issue 1 · Pages 2047–2061
Read the paper ↗︎White paper · MODSIM World 2026
Executable Architectures: Integrating Ontology, SysML v2, DEVS, and Agentic AI to Realize the Digital Thread
Abstract excerpt
The digital thread remains fragmented in practice: requirements, architectures, models, and verification evidence are exchanged through documents and manual reconciliation rather than machine-verifiable relationships, and Modeling & Simulation (M&S) therefore functions as a downstream report about the system rather than the system's authoritative executable representation.
MODSIM World 2026 · Mission Readiness · Presented August 18, 2026
Read the paper ↗︎Research collaboration · 2026
Four-Arc Progressive Assessment with Adversarial AI Validation: An IGNITE ’26 Geospatial COP for Digital Engineering
Abstract excerpt
We present a four-arc progressive assessment system with a geospatial common operational picture (COP), developed during the IGNITE '26 hackathon (March 16–19, 2026).
IGNITE ’26 · March 16–20, 2026
Read the paper ↗︎PALLC presentation · 2026
Wargaming a Post-Quantum C4ISR Transition: Model-Adjudicated Analysis of Migration Sequencing Under Quantum Disruption
Abstract excerpt
The convergence of three quantum computing milestones in twelve months has compressed the post-quantum cryptography (PQC) migration timeline from a next-decade concern to a present-day operational imperative.
94th MORS Symposium · Working Group 30 · June 2026
Read the paper ↗︎SI-ENABLED ENGINEERING / RESEARCH & DEVELOPMENT
The Structural Gap: From Frontier AI to Mission Capability
Abstract excerpt
Commercial frontier AI advances through a global system of computation, research, software development and feedback. Deploying a model inside a defense network does not reproduce the system that continually advances its capability.
Philipbar Analytics LLC · Technical Perspective · 29 September 2026
Read the paper ↗︎AGENTIC SI / MODELING & SIMULATION
Dr. Bernard P. Zeigler and the Foundations of Agents in Artificial Intelligence
Abstract excerpt
Bernard P. Zeigler established a rigorous systems foundation for model-based intelligent agents. With his collaborators, he developed architectures in which agents use internal representations to plan actions, monitor consequences, coordinate with other agents, and recover when execution departs from expectations.
Philipbar Analytics LLC · Research White Paper · 30 September 2026 · Version 1.0
Read the paper ↗︎HETEROGENEOUS MODELING & SIMULATION / DEVS
PALLC AI-GEMS: AFSIM, JSE, NGTS and Beyond — A DEVS Blueprint for the Defense Modeling and Simulation Toolchain
Overview
Philipbar Analytics LLC’s Artificial Intelligence for Gaming, Exercise, Modeling & Simulation (PALLC AI-GEMS) applies PALLC’s expertise in the Advanced Framework for Simulation, Integration and Modeling (AFSIM), Joint Simulation Environment (JSE), Next Generation Threat System (NGTS), and heterogeneous co-simulation to a common integration problem: preserving temporal event synchronization across independently developed models and simulators.
Philipbar Analytics LLC · White Paper · 29 September 2026
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