PP Camanho, MA Bessa, G Catalanotti, M Vogler, R Rolfes. Mechanics of Materials 59, 36-49, 2013. 173: 2013: Wave dispersion and basic concepts of peridynamics compared to classical nonlocal damage models. ZP Bažant, W Luo, VT Chau, MA Bessa. Journal of Applied Mechanics 83 (11), 111004, 2016. 130:

My research involves understanding and modeling materials at different scales in a new experimentally-validated and self-consistent computational framework - I envision a new era of...

Miguel Bessa and his research group envision a new era for the design of materials and structures using artificial intelligence. Miguel received a PhD in Mechanical Engineering from Northwestern University in 2016 as a Fulbright scholar.

2022年12月13日 · Associate Professor Miguel Bessa focuses on the data-driven design and analysis of materials and structures.

Machine learning guides discovery of new material with super-compressibility: Open access article in Advanced Materials. Popular article on Machine Learning in Mechanics. TU Delft - Researchers design new material by using Artificial Intelligence only.

RJ Bessa, MA Matos, FJ Soares, JAP Lopes. IEEE Transactions on Smart Grid 3 (1), 443-452, 2012. 328: 2012: Economic and technical management of an aggregation agent for electric vehicles: a literature survey. RJ Bessa, MA Matos. European Transactions on Electrical Power 22 (3), 334-350, 2012. 303:

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2019年10月14日 · Guided by Bayesian machine learning, two designs are fabricated at different length scales that transform brittle polymers into lightweight, recoverable, and supercompressible metamaterials.

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