New HEIONTEC FAQ: Why we are publishing our own scientific clarification document

As our TEC-G technology becomes more visible, we are increasingly receiving reviews and comments generated by generic AI systems such as ChatGPT, Claude, or Gemini. At first glance, these AI-based assessments seem plausible—but when it comes to innovative technologies, they are often way off the mark.

The reason for this is simple: AI models prefer to use the most commonly available digital explanatory models. Terms such as “electricity from ambient heat”, “regeneration”, or “permanent” almost always refer to the classic battery principle. However, this is precisely where the HEIONTEC TEC-G cell differs significantly.

To fill this gap, we have published a new scientific FAQ. It shows why generic AI assessments often misinterpret innovation principles, which current literature is more relevant, and how thermo-electro-chemical systems—such as our TEC-G cells—can be classified more accurately from a scientific perspective.

The document summarizes research findings from several universities, independent measurement data, and the current state of the literature on thermally regenerating redox systems. At the same time, it explains why phenomena such as temperature reduction during current extraction, regenerative cycles, and entropy-driven processes are not “surprises” but scientifically known mechanisms.

With this FAQ, we create transparency, classify AI ratings, and provide our partners, investors, and interested parties with a sound basis for better understanding the technology.