Human creativity has advanced the way we understand the world & produced scientific and artistic work. However, it is difficult to relate knowledge from disparate domains of information quantitatively and mechanistically. In a new paper we report a method to discover such salient relationships between disparate information domains in an unsupervised fashion, without knowledge of pairing or domain. The video visualizes the bidirectional translational mechanism as applied to music and proteins. The audio displays an amalgamated self-assembled musical dialogue between note sequences generated by J.S. Bach in 1741 and amino acid sequences encoded in a protein, leading to a form of counterpoint music. Read the paper published in @Patterns_CP (open access): doi.org/10.1016/j.patter.202… @ArtsatMIT @MIT_SCC

How to prevent fracture? Excited to share new work: Hierarchical Multiresolution Design of Bioinspired Structural Composites Using Progressive Reinforcement Learning, just published in Adv. Theory. & Sim. @AdvSciNews Read the full paper here: doi.org/10.1002/adts.2022004…

In new research from our lab reported in the J. Appl. Phys., led by grad students Wei Lu & Zhenze Yang, we report a new computational method to create synthetic 3D spider webs using a combination of multiscale modeling, graph & transformer neural networks aip.scitation.org/doi/10.106…

Check out the new course we'll be offering this fall - I am excited to teach it and look forward to seeing many of you to discuss #MachineLearning for #materiomics #Engineering #materials

I deeply appreciate this recognition! It would not have been possible without the support from my colleagues at @MIT the amazing current & past students & postdocs, & my advisors and mentors I had the pleasure to work with and learn from. This award is also for them! THANK YOU!

Thanks @Aurelie_JEAN for the kind words! It's students like you that make @MIT special, especially as they go out into the world and do great things! @MIT_alumni @Caltech #computers #algorithms

#MachineLearning is an exciting frontier in #materials engineering with applications in critical innovation spaces ranging from #sustainability to #resilience to #healthcare. Join us at @MIT @MITProfessional this fall for a Live Virtual Short Course: professional.mit.edu/course-…

Day 4 today at Predictive Multiscale Materials Design: molecular modeling dynamic materials failure, language models for material informatics, and nanotechnology #MultiscaleMaterialsDesign

Thanks @BertoFilippo for hosting this interview about some exciting new directions in mechanics!