November 2026– date –
-
Silicon Slow-Light Modulator: 200G/λ and Reduced-DSP Specs
Nature Communications (Europe PMC) Overview Researchers have developed a silicon photonic crystal waveguide slow-light modulator featuring a built-in electro-optic (EO) equalizer to achieve 200 Gb/s per wavelength. The device reduces rel... -
Lightmatter Optical Interconnects: Technical Roadmap and Specs
Semiconductor Industry Watch China Overview Lightmatter is addressing AI cluster bandwidth bottlenecks through a three-pronged approach involving dense wavelength division multiplexing (DWDM), photonic interposers, and detachable fiber i... -
PsiQuantum OCS: Silicon Photonics Specs for AI Data Centers
The Quantum Insider USA Overview PsiQuantum has demonstrated an 8×8 optical circuit switch (OCS) leveraging a low-loss silicon photonics platform originally designed for quantum computing. The device achieves 1.2 dB insertion loss and su... -
Lithium Metal Batteries: AI-Driven Discovery of 368 Non-Fluorinated Diluents
AI타임스 South Korea Overview Researchers at Seoul National University developed an AI algorithm that screened 1.32 million molecules to identify 368 promising non-fluorinated electrolyte diluents for lithium metal batteries. Three of th... -
qNEP Potential: Sodium Battery SEI Formation and Simulation Specs
BIOENGINEER.ORG Overview Researchers have developed a charge-aware neuroevolution potential (qNEP) that extends simulation timescales for sodium battery interfaces to 100 nanoseconds. This machine-learning approach overcomes previous bot... -
OrgAIcat: ML model for asymmetric organocatalysis selectivity
BIOENGINEER.ORG China Overview Researchers have developed OrgAIcat, a machine learning framework that predicts enantioselectivity in asymmetric organocatalysis using a manually compiled dataset of 22,554 data points. The model achieves R... -
Open Polymer Datasets: Reuse Quality Audit across 8 Repositories (2020–2025)
BIOENGINEER.ORG Overview A cross-repository audit of 53,038 open polymer datasets reveals that the choice of repository is the primary determinant of data reusability, outweighing science or publication year. While deposit volumes grew 1... -
Graph Neural Networks: Accelerating Electrocatalyst Design for 2026
BIOENGINEER.ORG Overview Graph neural networks (GNNs) are replacing traditional trial-and-error and DFT screening to accelerate the discovery of high-performance electrocatalysts for green hydrogen production. By learning material proper... -
CLaC Model: MIT’s AI for Crystal Structure and Text Retrieval
Intelligent Living USA Overview MIT researchers developed CLaC, a vision-language model that aligns 3D crystal structures with natural language descriptions using contrastive learning. By utilizing synthetic narratives to overcome data b... -
MARVEL-AI: A*STAR’s AI-Driven Materials Discovery Framework
A*STAR Singapore Overview A*STAR has launched MARVEL-AI to accelerate the transition of advanced materials from discovery to industrial deployment using an AI-enabled closed-loop system. The initiative demonstrates significant throughput...
