Research, in the open.
Everything the lab publishes, in full. Confirmations and failures alike — a result that did not replicate is part of the record, not an omission from it.
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3 papers matching these filters
Replication reports
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- August 30, 202613 min readEssayComputePhysicsMaterialsEngineering
TEMPO: A Time-Domain Ferroelectric Compute-in-Memory Macro with Drift-Cancelling Twin Cells and Significance-Ordered Early Termination
The energy cost of moving data between memory and processing units now dominates the energy cost of arithmetic itself, often by two to three orders of magnitude for off-chip access. Compute-in-memory (CIM) architectures attack this bottleneck by performing multiply-accumulate (MA…
Oleksii Vergunenko - August 30, 202612 min readEssayEnergyPhysics
Muon-Catalyzed d–³He Fusion as a Permission Structure: A Specification for Net-Positive Energy Balance
Muon-catalyzed fusion (μCF) of deuterium and helium-3 combines two attractive properties: an aneutronic reaction (d + ³He → p + α, Q = 18.35 MeV) whose products are entirely charged particles amenable to direct electric conversion, and a catalysis mechanism that operates at low t…
Oleksii Vergunenko - August 29, 2026Revised August 30, 202619 min readEssayComputeAIPhysicsMaterialsEngineering
Multiplication Without Transistors: An Audit of Photonic Matrix Processors as Accelerators for Large Language Model Training
Matrix multiplication accounts for the overwhelming majority of arithmetic operations — and a dominant share of energy expenditure — in training large language models (LLMs). Photonic processors perform matrix–vector multiplication (MVM) as a passive consequence of light propaga…
Oleksii Vergunenko