6 citations · 6 across the 5 of their papers we have counts for
5 papers
Information Propagation and Encoding in Solids: A Quantitative Approach Towards Mechanical Intelligence
Peerasait Prachaseree, Emma Lejeune
Engineered systems typically separate mechanical function from information processing, whereas biological systems can exploit physical structure as a medium for information process…
Towards understanding structure-function relationships in random fiber networks
Peerasait Prachaseree, Emma Lejeune
Random fiber networks form the structural foundation of numerous biological tissues and engineered materials. From a mechanics perspective, understanding the structure-function rel…
Locality sensitive hashing via mechanical behavior
Emma Lejeune, Peerasait Prachaseree
From healing wounds to maintaining homeostasis in cyclically loaded tissue, living systems have a phenomenal ability to sense, store, and respond to mechanical stimuli. Broadly spe…
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
Saeed Mohammadzadeh, Peerasait Prachaseree, Emma Lejeune
Recently, there has been a growing interest in applying machine learning methods to problems in engineering mechanics. In particular, there has been significant interest in applyin…
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Peerasait Prachaseree, Emma Lejeune
From designing architected materials to connecting mechanical behavior across scales, computational modeling is a critical tool in solid mechanics. Recently, there has been a growi…