

Mike Barker
1.8K posts

@buildingphysics
Mike Barker - Building Performance & Energy Engineer #247CFE #EnergyFlexibility #MicroGrids #GEBs https://t.co/ZTXuZTFc0F










Today, we're announcing Heaviside, our foundation model for electromagnetism. Trained on tens of millions of designs and over 20 years of proprietary simulation data, Heaviside predicts electromagnetic behavior from geometry in 13ms, which is 800,000x faster than a commercial solver. Heaviside is not a language model, and it’s not a surrogate model. Heaviside marks a new class of foundation model for physics which understands the fundamental relationships between materials, the geometries and the electromagnetic fields they generate. We’re releasing a research preview of Heaviside in Atlas RF Studio, an interactive agentic sandbox where you describe the EM behavior you want and the model generates the physical structure that produces it. @arenaphysica , we believe the implications of this class of model extend well beyond RF, as the frontier of exquisite hardware is electromagnetically-governed: wireless communication, radar, power delivery, high-speed computing, and the interconnects inside every chip on earth. In the months ahead, we’re excited to scale up Heaviside to broader frequency ranges, design spaces, and to support silicon-level designs, and deploy it with our closest partners and collaborators in service of their biggest design challenges. If you’ve read our thesis, this is just Step 2 in our pursuit of electromagnetic superintelligence. Read the full announcement and try Atlas RF Studio…tell us what you think: arenaphysica.com/publications/r…



Today, we're announcing Heaviside, our foundation model for electromagnetism. Trained on tens of millions of designs and over 20 years of proprietary simulation data, Heaviside predicts electromagnetic behavior from geometry in 13ms, which is 800,000x faster than a commercial solver. Heaviside is not a language model, and it’s not a surrogate model. Heaviside marks a new class of foundation model for physics which understands the fundamental relationships between materials, the geometries and the electromagnetic fields they generate. We’re releasing a research preview of Heaviside in Atlas RF Studio, an interactive agentic sandbox where you describe the EM behavior you want and the model generates the physical structure that produces it. @arenaphysica , we believe the implications of this class of model extend well beyond RF, as the frontier of exquisite hardware is electromagnetically-governed: wireless communication, radar, power delivery, high-speed computing, and the interconnects inside every chip on earth. In the months ahead, we’re excited to scale up Heaviside to broader frequency ranges, design spaces, and to support silicon-level designs, and deploy it with our closest partners and collaborators in service of their biggest design challenges. If you’ve read our thesis, this is just Step 2 in our pursuit of electromagnetic superintelligence. Read the full announcement and try Atlas RF Studio…tell us what you think: arenaphysica.com/publications/r…



Grid operators want DCs to curtail at peak. Flexible ops could save $40-150B in grid capex over the next decade. Google already signed demand response contracts. NVIDIA and Emerald AI launched a flexible AI factory framework with AES, Constellation, NextEra, Vistra, Invenergy, Nscale. AI training loads are more shiftable than traditional cloud. But DC downtime runs ~$9K/min. The economics of flexibility vs. uptime are the real tension.


The future is electromagnetic. One challenge is that there are ~ten people in the world who can deeply intuit electromagnetism. RF engineering is "black magic." Arena Physica thinks machines can intuit EM better. CEO Pratap Ranade & I on AI for EM: notboring.co/p/electromagne…


The future is electromagnetic. One challenge is that there are ~ten people in the world who can deeply intuit electromagnetism. RF engineering is "black magic." Arena Physica thinks machines can intuit EM better. CEO Pratap Ranade & I on AI for EM: notboring.co/p/electromagne…

















