Markus J. Buehler

Jul 13, 2024 | arxiv.org | Markus J. Buehler

[Submitted on 13 Jul 2024] Title:AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence View a PDF of the paper titled AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence, by Alireza Ghafarollahi and Markus J.

Feb 23, 2024 | nature.com | Markus J. Buehler

Whether on a hike, in a remote disaster zone or in your own home, access to clean water is critical. Filtration of freshwater to remove ultrafine particles like micro/nanoplastics, pathogens or other toxic components is unfortunately usually quite expensive, unportable and environmentally unfriendly.

Dec 2, 2023 | onlinelibrary.wiley.com | Wei Lu |DAVID KAPLAN |Markus J. Buehler

Model Architecture: Silk Proteome Generative Pretrained Transformer (SilkomeGPT) A custom Byte-Pair Encoding (PBE) tokenizer with up to 50 000 tokens (minimum frequency = 2) was trained based on a set of ≈800 000 protein sequences of up to 1024 length including the silkome dataset and other known proteins (collected from the AlphaFold2 prediction database from a variety of organisms including Human, M.

Oct 5, 2023 | rdworldonline.com | Markus J. Buehler |Heather Hall

As someone who has spent my entire adult life studying materials science, this is a very exciting time. Generative artificial intelligence is upending our previous assumptions about how — and how quickly — new materials can be designed, with algorithms already helping companies and researchers to automate performance forecasting, improve existing materials, and even generate arrays of potential designs for new materials that meet specific criteria.