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Karen Chen

Publications and source records attributed to Karen Chen.

3 recordsLinked to original sources

Affordable, manageable, practical, and scalable (AMPS) high-yield and high-gain inertial fusion

High-yield inertial fusion offers a transformative path to affordable clean firm power and advanced defense capabilities. Recent milestones at large facilities, particularly the National Ignition Facility (NIF), have demonstrated the feasibility of ignition but highlight the need for approaches that can deliver large amounts of energy to fusion targets at much higher efficiency and lower cost. We propose that pulser-driven inertial fusion energy (IFE), which uses high-current pulsed-power technology to compress targets to thermonuclear conditions, can achieve this goal. In this paper, we detail the physics basis for pulser IFE, focusing on magnetized liner inertial fusion (MagLIF), where cylindrical metal liners compress DT fuel under strong magnetic fields and pre-heat. We discuss how the low implosion velocities, direct-drive efficiency, and scalable pulser architecture can achieve ignition-level conditions at low capital cost. Our multi-dimensional simulations, benchmarked against experiments at the Z facility, show that scaling from 20 MA to 50-60 MA of current enables net facility gain. We then introduce our Demonstration System (DS), a pulsed-power driver designed to deliver more than 60 MA and store approximately 80 MJ of energy. The DS is designed to achieve a 1000x increase in effective performance compared to the NIF, delivering approximately 100x greater facility-level energy gain -- and importantly, achieving net facility gain, or Qf>1 -- at just 1/10 the capital cost. We also examine the engineering requirements for repetitive operation, target fabrication, and chamber maintenance, highlighting a practical roadmap to commercial power plants.

physics.plasm-ph

A Lightweight Plug-in Module for Introducing Post-Quantum Cryptography in Higher Education: An Experience Report

Post-quantum cryptography (PQC) is increasingly important for computing education, yet integrating it into existing curricula is challenging because it draws on programming, mathematics, cryptography, and quantum concepts. This experience report describes a one-week lightweight PQC plug-in module embedded in an undergraduate cybersecurity course and a graduate software engineering course. The module introduces core PQC concepts, quantum threats to current cryptographic systems, and PQC migration as a secure software engineering concern without requiring a standalone course. We report four pilot deployments: two undergraduate and two graduate course offerings. At each level, one offering used faculty-led lectures (FLL), while the other used hybrid lectures (HL) combining student-led seminars with faculty-led lectures. Both formats included hands-on factorization activities and gamified formative assessment. Based on Kahoot quiz scores and anonymous student feedback, students generally viewed the module positively. The graduate HL cohort achieved a higher mean Kahoot score than the graduate FLL cohort; no other differences in Kahoot scores or closed-ended feedback measures were statistically significant. Given the short duration, small samples, and non-randomized settings, we interpret these results as exploratory. We emphasize practical lessons, design trade-offs, and reusable instructional materials for educators introducing PQC into existing courses. This work contributes an adaptable teaching model and open educational resources for broadening PQC awareness and supporting curriculum development in quantum-safe cybersecurity and software engineering.

cs.SE

Reversing the asymmetry in data exfiltration

Preventing data exfiltration from computer systems typically depends on perimeter defences, but these are becoming increasingly fragile. Instead we suggest an approach in which each at-risk document is supplemented by many fake versions of itself. An attacker must either exfiltrate all of them; or try to discover which is the real one while operating within the penetrated system, and both are difficult. Creating and maintaining many fakes is relatively inexpensive, so the advantage that typically accrues to an attacker now lies with the defender. We show that algorithmically generated fake documents are reasonably difficult to detect using algorithmic analytics.

cs.CR