ArticleACS energy letters2026
Dynamical Symbiosis of Solar Cell and Memristor.
Article in ACS energy letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
Memristive devices have attracted significant attention due to their nonlinear dynamics, analog tunability, and ability to emulate synaptic functions. When combined with energy-harvesting components, memristors offer an opportunity to realize self-powered physical AI systems. We demonstrate a solar cell-driven perovskite memristor architecture, which is suitable for autonomous physical AI platforms for light-driven computation. In this system, incident light is directly converted into electrical stimuli by integrated solar cells, which modulate the conductance states of memristors. These conductance changes can encode computational states and learning behaviors, enabling direct processing of optical information without intermediate digital conversion. Such a light-driven memristive system enables simultaneous sensing, energy harvesting, memory storage, and computation within a unified physical structure.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.