TS-073818 — Autonomous and advanced driver-assistance systems require extensive testing across rare, hazardous, and edge-case scenarios to ensure safety and regulatory readiness. Existing approaches (pure simulation, hardware-in-the-loop, proving grounds, or public-road testing) each suffer from tradeoffs in …

TS-073810 — Next-generation power electronics demand materials that can support ultra-high breakdown voltages, low leakage currents, and scalable manufacturing. While β-Ga₂O₃ is highly attractive for these applications, device performance has been limited by the lack of high-quality, thick drift layers w…

TS-073809 — High-sensitivity detection in the mid-wave and long-wave infrared (MWIR/LWIR) remains constrained by detector noise, limited gain, and manufacturing challenges. While HgCdTe avalanche photodiodes can deliver excellent performance, they suffer from high cost, low yield, and limited manufacturabilit…

TS-073768 — Electrified and hybrid vehicle powertrains are increasingly complex, integrating mechanical, electrical, thermal, and emissions subsystems with both continuous and discrete decision variables. Existing energy management and co‑optimization approaches typically rely on simplified models, sequenti…

TS-073740 — Magnesium is the lightest structural metal and offers compelling weight‑reduction potential for transportation and other markets. However, broader adoption has been limited by the poor room‑temperature formability, modest strength, and narrow processing windows of conventional magnesium extrus…

TS-073732 — Advanced lithium-ion batteries increasingly adopt metallized polymer current collectors to improve safety by mitigating internal short circuits and thermal runaway. However, these collectors are inherently difficult to join to each other and to battery tabs using conventional manufacturing methods…

TS-073717 — Spiking Neural Networks (SNNs) promise ultra-low-power, low-latency AI for edge and neuromorphic computing, but their adoption is constrained by fundamental training challenges. SNN performance is highly sensitive to how training data are collected (e.g., lighting, sensor settings, noise), leading…

TS-073712 — Advanced quantum technologies, cryogenic sensors, and space instrumentation increasingly require reliable, compact cooling below 1 K. Today’s sub-Kelvin refrigeration relies heavily on dilution refrigerators and gas-gap thermal switches that are complex, slow, mechanically fragile, and dependent…

TS-073692 — Fleet operators face increasing pressure to reduce operating costs and emissions while maintaining performance and reliability. Choosing the “right” truck (diesel, alternative fuel, or battery electric) for a specific duty cycle remains largely heuristic, conservative, and error‑prone. As a …

TS-073646 — Industrial chemical and physical processes consume large quantities of thermal energy and steam, yet most facilities still rely on external power generation or low‑efficiency Rankine‑cycle systems to meet their electricity demand. This leads to significant energy losses, high operating costs, …