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Geometric Mixture Models for Electrolyte Conductivity Prediction

Neural Information Processing Systems

Accurate prediction of ionic conductivity in electrolyte systems is crucial for advancing numerous scientific and technological applications. While significant progress has been made, current research faces two fundamental challenges: (1) the lack of high-quality standardized benchmarks, and (2) inadequate modeling of geometric structure and intermolecular interactions in mixture systems. To address these limitations, we first reorganize and enhance the CALiSol and DiffMix electrolyte datasets by incorporating geometric graph representations of molecules. We then propose GeoMix, a novel geometry-aware framework that preserves Set-SE(3) equivariance--an essential but challenging property for mixture systems. At the heart of GeoMix lies the Geometric Interaction Network (GIN), an equivariant module specifically designed for intermolecular geometric message passing. Comprehensive experiments demonstrate that GeoMix consistently outperforms diverse baselines (including MLPs, GNNs, and geometric GNNs) across both datasets, validating the importance of cross-molecular geometric interactions and equivariant message passing for accurate property prediction. This work not only establishes new benchmarks for electrolyte research but also provides a general geometric learning framework that advances modeling of mixture systems in energy materials, pharmaceutical development, and beyond.


Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling

Neural Information Processing Systems

Generative diffusion models have achieved remarkable success in producing high-quality images. However, these models typically operate in continuous intensity spaces, diffusing independently across pixels and color channels. As a result, they are fundamentally ill-suited for applications involving inherently discrete quantities such as particle counts or material units, that are constrained by strict conservation laws like mass conservation, limiting their applicability in scientific workflows. To address this limitation, we propose Discrete Spatial Diffusion (DSD), a framework based on a continuous-time, discrete-state jump stochastic process that operates directly in discrete spatial domains while strictly preserving particle counts in both forward and reverse diffusion processes. By using spatial diffusion to achieve particle conservation, we introduce stochasticity naturally through a discrete formulation. We demonstrate the expressive flexibility of DSD by performing image synthesis, class conditioning, and image inpainting across standard image benchmarks, while exactly conditioning total image intensity. We validate DSD on two challenging scientific applications: porous rock microstructures and lithium-ion battery electrodes, demonstrating its ability to generate structurally realistic samples under strict mass conservation constraints, with quantitative evaluation using state-of-the-art metrics for transport and electrochemical performance.


Golf ball-sized octopus discovered near the Galรกpagos Islands

Popular Science

More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. A tiny, bright blue octopus is small enough to fit inside the palm of your hand, but good luck trying to meet one. According to marine biologists, you'll likely have to settle with admiring it from afar for now unless you have access to a deep sea submersible--and a ticket to the Galรกpagos Islands . While conducting a deep sea expedition aboard the research vessel E/V, biologists spotted the diminutive invertebrate as they piloted a remotely operated vehicle (ROV) along the ocean floor near Darwin Island.


The balcony solar boom is coming to the US

MIT Technology Review

Plug-in panels are getting popular--how do we make sure they're safe? Dozens of US states are considering legislation to allow people to install plug-in solar systems, often called balcony solar. These small arrays require little to no setup and could help cut emissions and power bills. Balcony solar is already popular in Europe, and proponents say that the systems could make solar power more accessible for more people in the US, including renters. As popularity rises, though, some experts caution that there are safety concerns with how balcony solar would work with existing electrical equipment in homes. Let's talk about what balcony solar is, why it's unique, and how new testing requirements could affect our progress toward deploying the technology in the US.



The Best Robotic Pool Cleaners of 2026: Beatbot, iGarden, Dreame

WIRED

Send the pool guy packing. One of these robotic buddies can maintain your water quality instead. Cleaning swimming pools is not fun. I learned this simple logic as a kid growing up in and around pools--it's the only way to survive summer in Houston, Texas. Four years ago, I became a pool owner myself, and I found that the rule still holds. Jumping into the pool on a hot day remains a rare treat, but if the pool is filled with leaves and dirt, that treat becomes a lot less delightful. And when the thermometer is reading over 100 degrees Fahrenheit, the thought of laboring on the pool deck, scooping out debris with a net, is downright cruel.


Should You Leave Your Phone Charging Overnight?

WIRED

Should You Leave Your Phone Charging Overnight? It used to be common wisdom that leaving your phone charging overnight degrades the battery. But handset design has evolved to mitigate the harm caused by constant charging. You may have heard that leaving your smartphone charging overnight--either plugged in or atop a wireless charger --can damage your battery. But is it actually harmful or dangerous to do that?