Browsing: materials science

This study demonstrates the application of a conditional denoised diffusion probabilistic model (C-DDPM) to generate microstructural images of Cu-SAC305 interfaces in microelectronic devices, significantly reducing experimental work and time.

Microsoft Research’s generative AI models accelerate scientific discovery in materials science and radiology, potentially transforming industries and improving healthcare outcomes

Researchers develop uncertainty quantification method for neural network potentials, improving trust in AI predictions

Liam Fedus, OpenAI’s VP of research for post-training, is departing to start a materials science AI company. OpenAI will invest in and partner with the new venture.

A team of scientists has developed a novel method combining artificial intelligence and electron microscopy to observe the dynamic behavior of nanoparticles, crucial for advancements in various industries.