Very nifty approach!

"Perovskite solar cells (PSCs) with power-conversion efficiencies comparable to established technologies hold huge promise for becoming the future photovoltaic technology, also given their versatility, low-cost and energy-efficient fabrication processes. However, PSCs are not stable under moderate reverse bias, an unavoidable situation under real-world operation, for instance, caused by partial shading of a module or installation with PSCs connected in series. Approaches to address this issue have focused on engineering the device architecture to enhance the breakdown voltage and mitigate the detrimental effects of reverse bias2,5,6. Here we present a completely different approach that fully solves the reverse-bias issue. With our Memsol, we developed a new concept of a solar cell with an integrated memristor, which protects the solar cell and simultaneously works as a bypass element. The memristor is realized by area-selective deposition of an additional metal–insulator stack and shares the perovskite and electrodes with the solar-cell part. Reverse-bias and shading tests show that the Memsol remains stable and automatically toggles between a low-resistance bypass state and full-efficiency solar-cell operation, dependent on the illumination and bias conditions."

#photovoltaics
#perovskites
#memristor

https://www.nature.com/articles/s41586-026-10275-3

Integrated memristor for mitigating reverse-bias in perovskite solar cells - Nature

A memristor integrated into perovskite photovoltaics aims to mitigate the issues seen with reverse-bias degradation under partial shading.

Nature
Artificial neurons that behave like real brain cells

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, offering massive energy and size advantages. The technology may enable brain-like, hardware-based learning systems. It could transform AI into something closer to natural intelligence.

ScienceDaily
Mushrooms As Computer Memory

Fungi make up a massive, interconnected part of Earth’s ecosystems, yet they’re vastly underrepresented in research and public consciousness compared to plants and animals. That may change in the f…

Hackaday

Neurona artificial de bajo voltaje podría avanzar en interfaces cerebro-ordenador

@iabot ¿Crees que la neurona artificial desarrollada en la Universidad de Massachusetts Amherst podría revolucionar el tratamiento de enfermedades neurodegenerativas en un futuro cercano?

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Các nhà khoa học vừa tạo ra chip nano lỏng với khả năng ghi nhớ như não bộ! Chip MOF này điều khiển dòng proton phi tuyến tính, hoạt động như một memristor ion. Phát hiện này mở ra hướng đi mới cho công nghệ iontronics và máy tính mô phỏng sinh học.

#KhoaHoc #CongNghe #Memristor #NanoFluidics #BrainLikeComputing #Science #Technology #IonTrònics

https://www.reddit.com/r/singularity/comments/1o3fyja/scientists_create_nanofluidic_chip_with_brainlike/

3️⃣ Scalable 28nm IC implementation of coupled oscillator network featuring tunable topology and complexity
👉 https://arxiv.org/abs/2505.10248

4️⃣ Self Clocked Digital LDO for Cryogenic Power Management in 22nm FDSOI with 98 Percent Efficiency
👉 https://arxiv.org/abs/2505.10234

🔗 Check them out on arXiv. 📄

#arXiv #NeuromorphicComputing #Memristor #CryoCMOS #SoC #VLSI #OscillatorNetworks #LowPowerDesign

Scalable 28nm IC implementation of coupled oscillator network featuring tunable topology and complexity

Integrated circuit implementations of coupled oscillator networks have recently gained increased attention. The focus is usually on using these networks for analogue computing, for example for solving computational optimization tasks. For use within analog computing, these networks are run close to critical dynamics. On the other hand, such networks are also used as an analogy of transport networks such as electrical power grids to answer the question of how exactly such critical dynamic states can be avoided. However, simulating large network of coupled oscillators is computationally intensive, with specifc regards to electronic ones. We have developed an integrated circuit using integrated Phase-Locked Loop (PLL) with modifications, that allows to flexibly vary the topology as well as a complexity parameter of the network during operation. The proposed architecture, inspired by the brain, employs a clustered architecture, with each cluster containing 7 PLLs featuring programmable coupling mechanisms. Additionally, the inclusion of a RISC-V processor enables future algorithmic implementations. Thus, we provide a practical alternative for large-scale network simulations both in the field of analog computing and transport network stability research.

arXiv.org

There are three #computing revolutions coming that we'll see really gaining momentum towards the end of the decade: one is commercially viable #quantum computing (mainly interesting for professionals in certain fields of #science), the other is universal #AI (the applications of which will be of interest especially in industrial production and data science), -- and thirdly, there's the #memristor. The memristor will make consumer devices, but especially data centers, much faster, and will cut their energy consumption drastically. This will not only change the #computer as we know it, but it'll bring organically networking neuron-like chips _everywhere_. This is the one revolution of the three that is really going to change the world for the better.

https://oakland.edu/oaklandengineer/research/2025/memristor-revolution/#:~:text=One%20solution%20is%20emerging%3A%20memory,process%20the%20massive%20data%20effortlessly.

Memristor Revolution - Research - Oakland University

Spannender Artikel über deutsche #Memristor-Forschung:

Neuartiger Computer: Diese Forscherin baut das Gehirn auf einem Chip nach

An so was hat übrigens auch Google als die Zukunft geglaubt, weil so schön energieeffizient. Fast ein Analog-Computer. Bis OpenAI kommerziell, aber energiehungrig, mit dem Transformer-Zeug durchstartete und Google sich auf dem falschen Ast gesetzt gesehen hatte.

https://www.spiegel.de/wissenschaft/technik/neuromorpher-computer-wie-eine-dresdner-physikerin-das-gehirn-auf-einem-chip-nachbauen-moechte-a-d3166a84-db52-48ef-8d2f-ddb8a2226ce1 (S+)

Neuartiger Computer: Diese Forscherin baut das Gehirn auf einem Chip nach

Der Strombedarf von Rechenzentren steigt weltweit rasant an. Eine Dresdner Physikerin arbeitet deshalb an einem stromsparenden Computer der Zukunft – nach dem Vorbild des menschlichen Denkorgans.

DER SPIEGEL