EPS Research

Independent Research Laboratory

Velocity Curve M33 Curve

From the Independent EPS Research Team

Self-directed research across astrophysics, artificial intelligence, and cybersecurity — supported by a custom-built dual-node HPC infrastructure.

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Astrophysics

Galaxy rotation curves, empirical corrections to SPARC data, and alternatives to dark matter/MOND models.

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AI Research

AI evaluation frameworks, ethical reasoning probes, cognitive integrity in LLM systems, and consumer AI behavior.

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Cybersecurity

Zero Trust architecture, protective DNS deployment, CUI security, and federal agency network hardening.

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Hardware Infrastructure

Dual-node HPC cluster with 192GB VRAM total, 44TB NVMe, and 256GB DDR5 — purpose-built for astrophysics simulation and AI research.

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Astrophysics

Galaxy rotation curves & the EPS empirical correction

Peer Reviewed · Frontiers

A New Empirical Fit to Galaxy Rotation Curves

frontiersin.org · fspas.2025.1680387
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AI Research

Evaluation frameworks, LLM ethics, and consumer AI behavior

TechRxiv

High-Performance Dual-Node AI Infrastructure for Astrophysics and Cybersecurity

doi.org · techrxiv.177274009.90250103
Zenodo

Gear Chats and AI: The New Way to Buy

zenodo.org/uploads/18706568
Authorea

Cognitive Integrity Security: Securing Human–AI Interaction in Large Language Model Systems

doi.org · 10.22541/au.177187613.38652471
Zenodo

Literary Narrative as Moral Probe: A Cross-System Framework for Evaluating AI Ethical Reasoning and Refusal Behavior

zenodo.org/records/18876714
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Cybersecurity

Federal network architecture, Zero Trust, and protective DNS

Zenodo

Advancing Towards Protective DNS: Transitioning to and Deploying Protective DNS in Federal Agency Networks

zenodo.org/records/18749075
Zenodo

Securing Controlled Unclassified Information

zenodo.org/records/18777614
TechRxiv

The Pathway to Implementing Zero Trust: Why Microsegmentation Remains the Critical Barrier

techrxiv.org · article/1391296
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Facilities & Compute Infrastructure

Sovereign multi-tier HPC environment · EPS Research Laboratory

Tier 1
High-Performance Dual-Node Cluster
Heavy Compute Engine · Large-scale simulation, 70B+ model sharding, and galaxy rotation curve fitting — no external cloud, no CUI compromise.

NODE 1 · Primary

Windows 11 Pro + Ubuntu 24.04 LTS

CPUIntel Core i9-14900K · 24c/32t
GPURTX PRO 6000 Blackwell · 96 GB VRAM
RAM128 GB DDR5 (4400 MT/s JEDEC)
Storage24 TB PCIe 4.0 NVMe
NetworkMellanox 50 Gb NIC · RoCE
Power1350W · Pure sine UPS + Furman PST-8
CoolingArctic Pro 360 AIO · NZXT H7 Flow

NODE 2 · Compute

Ubuntu 24.04 LTS · Headless HPC

CPUIntel Core i9-14900K · 24c/32t
GPURTX PRO 6000 Blackwell · 96 GB VRAM
RAM128 GB DDR5 (4400 MT/s JEDEC)
Storage20 TB PCIe 4.0 NVMe
NetworkMellanox 50 Gb NIC · RoCE
Power1350W · Pure sine UPS + Furman PST-8
CoolingArctic Pro 360 AIO · NZXT H7 Flow
NODE 1 ↔ NODE 2 · Mellanox 50 Gb Dual-NIC · RDMA over Converged Ethernet (RoCE) · Near-zero latency tensor exchange
Tier 2
“Little Blackie” — Agile Inference Node
Continuous AI orchestration, quantized model testing, and cybersecurity microsegmentation — always-on without spinning up the full cluster.

INFERENCE NODE · Continuous Operation

Dedicated LLM inference & security testing workstation

CPUIntel Core i9-12900K
GPUNVIDIA RTX 5070 Ti
RAM96 GB DDR5
Storage8 TB NVMe (2× 4 TB)
PowerCorsair CX750M 80+ Bronze
CoolingNoctua NH-D15S · 7-fan positive pressure
Tier 3
Secure Mobile Compute & Endpoint Layer
Zero Trust orchestration, data triage, and edge compute — dual-boot mobile workstations serving as critical endpoint compliance nodes.

PI Mobile Workstation

Lenovo ThinkPad T16 Gen 1

CPU12-core mobile processor
RAM48 GB DDR5
Storage4 TB NVMe
OSUbuntu 24.04 + Win 11 Pro (dual-boot)
AccelPrimoCache RAM-disk I/O
RolePublication authoring · prelim astrophysics

Support & Testing Node

Lenovo IdeaPad Y700 15ISK

CPU4-core processor
RAM32 GB DDR4
Storage2 TB (1 TB NVMe + 1 TB SSD)
OSWindows 11 Pro
AccelPrimoCache disk acceleration
RoleZero Trust testing · admin & file ops
⚡ Strategic Acquisition Note The entirety of EPS Research’s primary hardware infrastructure was procured and assembled by October 31, 2025, preempting significant market price increases. This frugal engineering approach delivers institutional-grade capability at a fraction of the standard financial footprint.
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The EPS Research Team

Independent researchers · College Park, MD

David Flynn

Principal Investigator & Corresponding Author · CISSP, M.S. Computer Science
ORCID: 0000-0002-2768-6650 Resume → davidflynn@eps-research.com

Jim Cannaliato

Researcher & Technical Support
jimcannaliato@eps-research.com

Rosemary Flynn

Webmistress & Editor
rosemaryflynn@eps-research.com

Kathryn Flynn

Graphic Designer
kathrynflynn@eps-research.com
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