Hetzerk

Material Discovery from Neuro & Ab-Initio Principles

Creed of Hetzerk

Hetzerk, a frontier company at the intersection of neuro-symbolic computational science research and advanced engineering, is fundamentally redefining the study of matter. Our core focus is on the development of distributed ab-initio learning algorithms that fuse theoretical, computational, and cognitive sciences to dissect and comprehend micro and macroscopic properties of matter. 

We are actively establishing infrastructure and forming collaborations to create a decentralized platform of harmonized AI agents dedicated to advancing physics-based intelligence.

One of our key principles is grounded in the understanding that there exists a notable disconnect in the computational coherence between theory, computation, and approximations across physics and related fields. Presently, the principle of modeling systems, from the subatomic to the macroscopic, hinges on a graph of interconnected physical theories that, while conceptually linked, are computationally disjoint. 

By integrating cognitive perspectives with ab initio principles, we're developing scalable computational methodologies designed to model a wide array of matter types. Our research spans organic therapeutics, semiconductors, and the coolest under-explored, exotic states of quantum systems.

Leveraging the intersection of machine learning and theoretical physics, our approach is redefining the boundaries of our understanding of the universe and the matter it holds, setting the stage for the next generation of scientific discovery.