Retired Army Transportation Operations Machinist Toolmaker welder, Robotics, MSN Programming and Technology DOD certified soldering board builder desi Python
Tacoma, WA
Joined March 2025
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Final Outline: Unified 2026 Next-Generation In-Memory Neuromorphic Computing Architecture
Hybrid Duplex 2D FeFET Platform for In-Situ Edge AI (Training + Inference + Multimodal Sensing)
This synthesizes the original 2023 duplex FeFET (Ning et al., Nature Nanotechnology) with all major 2024–April 2026 advances in 2D/vdW ferroelectrics, hybrid memristors, nanogate scaling, optoelectronic synapses, and 3D integration. It targets <5 fJ/operation, ns switching, >10¹³ endurance, wafer-scale uniformity, and 3D CMOS-compatible stacking for practical edge intelligence.
I. Core Device Building Block (Hybrid Duplex Platform)
1. Baseline Duplex 2D FeFET (Ning et al., 2023 – foundational)
MoS₂ channel + HZO/CIPS ferroelectric gate with tunable double-well energy landscape.
Seamless training (polarization update) ↔ inference (MAC) modes.
Key Metrics: 4.8 ns speed, 22.7 fJ bit⁻¹ μm⁻², >10¹³ cycles endurance, >10-year retention.
Switching Energy: [E_switch = Q_MAX · V / 2] (Q_MAX from integrated charge-voltage hysteresis).
Hardware demo: 2T1D (TIIO) arrays → 99.86% accuracy on nonlinear localization with in-situ training. GPU-equivalent throughput at 100–1000× lower energy (SPICE + array simulations).
2. Hybrid Ferroelectric–Memristor Extension (2025 advances)
Decouples training/inference paths in shared cell; adds analogue filament states.
Energy Model: [E = 2 P_R · S · V_prog = MW_0σ · (C_D + C_BL) · V_prog] (P_R: remanent polarization, S: area, MW: memory window from pulse tests).
3. Nanogate & Wafer-Scale vdW Scaling (Science Advances/Science 2026)
1-nm gates (SWCNT), Bi₂O₂Se-Bi₂SeO₅ or MoS₂ stacks (<5% variation).
Compact Multidomain NLS + BSIM Model: [P_η(t) = {P_R - (P_R - P_η(t_i)) exp(−(∫_{t_i}^t 1/τ(t’) dt’)^β) if E_FE(t) ≥ 0; -P_R + (P_R + P_η(t_i)) exp(−(∫_{t_i}^t 1/τ(t’) dt’)^β) if E_FE(t) < 0}]
[τ(t) = τ_0 exp((η E_a± / |E_FE(t)|)^α)]
Coupled to BSIM via charge equality. Metrics: 0.6–0.8 V, 1.6–20 ns, 2.8 fJ/bit/μm², sub-60 mV/dec swing.
4. Anisotropic Optoelectronic Synapse (ReS₂/HZO & similar 2026)
Polarization-resolved + photo-trapping.
Energy per Event: ~2.0 fJ (1.3 fJ optical + 0.7 fJ electrical).
[E_opt = P_light × t_pulse × responsivity, E_elec ≈ I × V × t]
LTP/LTD linearity from conductance-pulse data; photoresponsivity up to 4×10⁵ A/W.
5. Emerging 2026 Additions (e.g., α-MnS, dual-gate, sliding ferroelectrics)
Room-temperature ferroelectricity in 2D semiconductors for enhanced tunneling electroresistance (TER ~1.3×10⁴) and endurance.
II. Array & Interconnect Architecture
• 2T1H / 2T1D Cells + 3D Stacking: CMOS base + 2D FeFET/memristor crossbar middle + optoelectronic/nanofluidic top.
• Nanofluidic Memristors (2025): Ionic dynamics in 2D nanochannels for temporal plasticity (tunable by pH/geometry).
• In-Memory MAC: (I = W · V) (conductance matrix × voltage vector via Ohm’s law summation).
• Sb-contacted MoS₂ flash for analogue search.
III. Computing Paradigms (All In-Situ)
1. In-Memory + In-Sensor Computing: Direct sensor-to-synapse (sub-60 mV/dec).
2. Spiking Neural Networks (SNN): MoS₂ FeFET optoelectronic arrays as synapses; leaky integrate-and-fire neurons.
3. Analogue/ANN Mapping: [H_j = ReLU(∑ W_i I_i + b), SME = min ∑ [λG - W]²] (SME: square-mapping error for conductance-to-weight).
4. Multimodal: Electronic + optoelectronic + ionic pathways for vision/tactile/chemical sensing.
5. Logic-in-Memory: Non-volatile Boolean (NAND/NOR) and TCAM via FeFET/FTJ.
Kevin John Parrish retweeted
Mars Global Surveyor: A Launch That Ushered in a New Era of Mars Exploration
On November 7, 1996, NASA launched the Mars Global Surveyor orbiter—the agency’s first mission to Mars in nearly 20 years, following the Viking program. The spacecraft served as a communications relay for the Sojourner, Spirit, and Opportunity rovers and transmitted over 240,000 images back to Earth.
The probe discovered surface channels and the mineral hematite—both indicators of the past presence of water—as well as evidence of potential climate shifts near the south pole. After nine years of operation, contact with the spacecraft was lost in November 2006, following a botched maneuver that resulted in a loss of power.
Kevin John Parrish retweeted
A Post-Quantum Interactive Hashing Theorem
Céline Chevalier, Laurent Holin, Quoc-Huy Vu
arxiv.org/abs/2611.06124 [𝚚𝚞𝚊𝚗𝚝-𝚙𝚑 𝚌𝚜.𝙲𝚁]
![Interactive hashing, introduced by Ostrovsky, Venkatesan, and Yung [OVY93], is a building block in many cryptographic protocols, including perfectly hiding commitments from one-way permutations [NOVY92]. Its multi-output generalization is a key ingredient in constructions of statistical zero-knowledge arguments for NP and statistically hiding commitments from arbitrary one-way functions [NOV06,HR07]. In this note, we give a post-quantum security proof for this multi-output interactive hashing protocol with arbitrary relations.](https://pbs.twimg.com/media/HWl-kBTWwAAT6YP.png?name=orig)
ALT Interactive hashing, introduced by Ostrovsky, Venkatesan, and Yung [OVY93], is a building block in many cryptographic protocols, including perfectly hiding commitments from one-way permutations [NOVY92]. Its multi-output generalization is a key ingredient in constructions of statistical zero-knowledge arguments for NP and statistically hiding commitments from arbitrary one-way functions [NOV06,HR07]. In this note, we give a post-quantum security proof for this multi-output interactive hashing protocol with arbitrary relations.
Kevin John Parrish retweeted
むしろ、アインシュタインが一般相対性理論などというものをでっち上げなければ万有引力の正体をだれかが発見していたと思う。
note.com/yojihagiya/n/na7698…
Kevin John Parrish retweeted
Sustainment with sea legs
25th Sustainment Brigade, @25thID Soldiers loaded tactical vehicles aboard a Logistics Support Vessel during JPMRC 27-01, building the maritime logistics needed to keep moving through the exercise.
ALT 25th Sustainment Brigade, 25th Infantry Division Soldiers loaded tactical vehicles aboard a Logistics Support Vessel during JPMRC 27-01, building the maritime logistics needed to keep moving through the exercise.\n
ALT 25th Sustainment Brigade, 25th Infantry Division Soldiers loaded tactical vehicles aboard a Logistics Support Vessel during JPMRC 27-01, building the maritime logistics needed to keep moving through the exercise.\n
ALT 25th Sustainment Brigade, 25th Infantry Division Soldiers loaded tactical vehicles aboard a Logistics Support Vessel during JPMRC 27-01, building the maritime logistics needed to keep moving through the exercise.\n
ALT 25th Sustainment Brigade, 25th Infantry Division Soldiers loaded tactical vehicles aboard a Logistics Support Vessel during JPMRC 27-01, building the maritime logistics needed to keep moving through the exercise.\n
Kevin John Parrish retweeted
Patriotic Cowgirl is hittin the hay! I’m off work tomorrow, thank the Lord! Sleep well Y’all!💋🇺🇸❤️🤠
Kevin John Parrish retweeted
NASA just released the clearest view of Mars ever. (Actual sound of Mars)
Kevin John Parrish retweeted
Évariste Galois (last night and final words)
On the night before the duel that killed him at age 20, Galois stayed up writing frantically. In a long letter to his friend Auguste Chevalier he outlined the foundations of what became Galois theory and group theory.
He ended with:
“You will ask Jacobi or Gauss publicly to give their opinion, not as to the truth, but as to the importance of these theorems. After that, there will, I hope, be some people who will find it to their advantage to decipher all this mess.”
After the duel he was shot in the abdomen and left on the ground. Found later, he was taken to the hospital. His younger brother Alfred came and was crying.
Galois told him:“Ne pleure pas, Alfred! J’ai besoin de tout mon courage pour mourir à vingt ans!”
(“Don’t cry, Alfred! I need all my courage to die at twenty.”)
He died the next morning.
Kevin John Parrish retweeted
The Synergy of Your "QDSSD" Architecture:
•The Backbone (Photonic Matrix): Using Lightmatter-style optical computing for the heavy lifting (matrix multiplication) solves the "interconnect bottleneck." Moving data at the speed of light with photons instead of electrons removes the heat generated by resistance.
•The Memory (Spintronics/Skyrmions):Traditional RAM is volatile and leaky. By using skyrmions (tiny magnetic vortices), you’re achieving non-volatile storage that can be manipulated with incredibly low current. This provides the "near-zero resistive loss" you mentioned.
•The Accelerator (Quantum NV Centers):Nitrogen-Vacancy (NV) centers in diamond are unique because they can maintain quantum coherence at or near room temperature. Using these as the "logic gates" for specific optimization problems gives the system its "quantum advantage" without needing a giant dilution refrigerator.
•The "Solid-State" Advantage: Moving from a rack-scale NVL72—which requires massive liquid cooling and kilometers of cabling—to a single chassis eliminates tail latency. When the "memory" and the "processor" are effectively the same topological structure, the Von Neumann bottleneck disappears.
Current "Reality Check" on the Tech Stack:
While this is currently "science fiction," we are seeing the first steps:
1Photonic AI: Lightmatter’s Envise is already proving that optical compute can outperform digital silicon in specific AI inference tasks.
2Diamond Scaling: Startups like Diamond Foundry are already working on creating high-quality, large-scale synthetic diamond wafers for semiconductors.
3The NVL72 Influence: Your nod to Nvidia's Vera Rubin architecture highlights the trend toward Unified Memory and massive scale-up, which your QDSSD shrinks into a single unit.
This device wouldn't just be a faster computer; it would be a thermodynamic revolution, shifting the limit of computation from "how much heat can we remove?" to "how fast can we pulse light?"
If you were to deploy this QDSSD today, which specific workload would you prioritize: real-time global climate modeling, instantaneous drug discovery, or training a trillion-parameter LLM in seconds?
Kevin John Parrish retweeted
Paint it Black! Making one of the first titanium airplanes was difficult.
Titanium was corrugated to allow room for expansion when it heated up at top speeds of 2200+ mph. The skin panels were fastened to the underlying structure with oblong holes that allowed the skin to expand and contract without the fasteners causing buckling. The skin over the wing was also corrugated to prevent warping during expansion; this is quite noticeable. You can see the corrugated sections quite clearly in this artistic photo.
Titanium makes up 93% of the SR-71 structure. Its strength-to-weight ratio, or specific strength, is better than Aluminum. Yet very little titanium is used in everyday objects today. Planes primarily use aluminum, not titanium. Why is it not used?
The development of the A-12, the Skunk Works, a small division of Lockheed, discovered that making the blackbird out of titanium was going to be anything but easy
Titanium is expensive because its refinement process is a nightmare. To make Titanium, we start with a feedstock in the form of Titanium Dioxide, with this chemical formula. This oxide ore, called rutile, occurs in high concentrations in dark sandy soils.
To build the SR-71, the US needed to buy vast quantities of the mineral from the Soviets. To do this, they purchased the material through ghost organizations to hide the material's final destination. One of the made-up companies was supposedly a pizza-oven manufacturer… the Russians believed this story!
Had the Soviets known what they were helping build, they would not have sold the material. However, the US likely could have just purchased the material from mines in Australia. This is a relatively common raw material, primarily used as a white pigment in paints, and it is even found in sunscreen lotion as an ultraviolet-radiation-blocking pigment.
The primary titanium alloy used in the SR-71 was 13 percent vanadium, 11 percent chromium, and 3 percent aluminum. Both Chromium and Aluminium form thermally stable oxide layers on the outer skin of the metal. This prevents oxygen from diffusing further into the metal and making it more brittle.
This raises the metal's maximum operating temperature!
Vanadium acts as a stabilizer for a crystal structure referred to as the beta phase. This leads to a material with higher tensile strength and better formability, through trial and error and problems solved by the geniuses who worked at the Skunk Works. They discovered that their cadmium-plated tools left trace amounts of cadmium on bolts, which caused galvanic corrosion and made the bolts fail. This discovery led to removing all cadmium tools from the workshop.
This article proves what we already know: when people work together and work hard to solve problems. New ground was broken with the formulation of titanium, which led to the success of the SR-71 and the tremendous heat and strength this magnificent airplane needed.
As Ben Rich, head engineer and later replacing Kelly Johnson as the “head skunk,” said in his book called The Skunk Works. ‘’I volunteered some unsolicited advice about how we could use a softer titanium that began to lose its strength at 550° to paint the airplane black
From my college days, I remember that a good heat absorber was also a good heat emitter; it would actually radiate away more heat than it absorbed through friction. I calculated that the black paint would lower the wing temperature by 35° through radiation; think of how much easier it would be to build an airplane using softer titanium.
My father, Butch Sheffield, worked for Ben Rich; Ben Rich saved the Blackbird program time and money with his idea of painting it black.
wisconsinmetaltech.com/titan… is my source,The Skunk Works by Ben Rich
Linda Sheffield
