akashramdas

So novel is defined as just anything that has not been synthesized as a thin film before. These are usually structures (phases or polymorphs) of materials that have not been reported in the literature.

We did find there are ways we can prevent this particular reward hacking, just consistently surprised by how these models can find tricks to technically achieve the set goal

oh that's a very interesting question! -- HBM on the back side of chips has advantage and disadvantges. Logic atop HBM means power delivery becomes the bottleneck. This is equally problematic. My understanding is that the industry seems to prefer HBM on logic currently. Also for the bonding, I think we are going to see hybrid-bonding very soon! Instead of solder, we can directly connect the indivdual dies.

I think the switch to GaN is already happening for power, but Si is considered better for logic dies like the GPU. Also GaN is worse thermally than Si so the problems are actually amplified

Aperiodic materials can also be studied. The number of atoms and cell size of what you want to simulate is more the limiting requirement computationally. Aperiodic materials weren't in this benchmark. Generally amorphous materials and polymers, with a few exceptions are < 2-3 W/(m K) in thermal conductivity. So we left them out of this study.

You can see from our the benchmark that only one of the candidates proposed was determined to be worth synthesizing. Each individual candidate generation is quick, 8 hours is required for the model to iterate with various tools to find ones worth submitting.

We found that speaking to domain experts was critical in desigining a rubric that could catch these silent synthesis recipe failures, before we attempt the longer 2 week synthesis effort.