71 citations · 254 across the 12 of their papers we have counts for
12 papers
Physics-informed machine learning improves detection of head impacts
Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh +6
In this work we present a new physics-informed machine learning model that can be used to analyze kinematic data from an instrumented mouthguard and detect impacts to the head. Mon…
A comparison of sports-related head accelerations with and without direct head impacts
Samuel J. Raymond, Yuzhe Liu, Nicholas J. Cecchi +9
Concussion and repeated exposure to mild traumatic brain injury are risks for athletes in many sports. While direct head impacts are analyzed to improve the detection and awareness…
Towards Better Shale Gas Production Forecasting Using Transfer Learning
Omar S. Alolayan, Samuel J. Raymond, Justin B. Montgomery +1
Deep neural networks can generate more accurate shale gas production forecasts in counties with a limited number of sample wells by utilizing transfer learning. This paper provides…
A theory of turbulence mechanics based on material failure
Samuel J. Raymond
Considerable effort has been expended over the last 2 centuries into explaining the behavior of fluid flow after the onset of turbulence. While perturbations in the velocity field…
Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems
Samuel J. Raymond, David B. Camarillo
Physics-Informed Machine Learning (PIML) has gained momentum in the last 5 years with scientists and researchers aiming to utilize the benefits afforded by advances in machine lear…
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics
Xianghao Zhan, Yiheng Li, Yuzhe Liu +11
Objective: Traumatic brain injury can be caused by head impacts, but many brain injury risk estimation models are not equally accurate across the variety of impacts that patients m…
Time Window of Head Impact Kinematics Measurement for Calculation of Brain Strain and Strain Rate in American Football
Yuzhe Liu, August G. Domel, Nicholas J. Cecchi +8
Wearable devices have been shown to effectively measure the head movement during impacts in sports like American football. When a head impact occurs, the device is triggered to col…
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
Xianghao Zhan, Yiheng Li, Yuzhe Liu +12
Brain tissue deformation resulting from head impacts is primarily caused by rotation and can lead to traumatic brain injury. To quantify brain injury risk based on measurements of…
Theoretical and numerical analysis for angular acceleration being determinant of brain strain in mTBI
Yuzhe Liu, Xianghao Zhan, August G. Domel +7
Mild traumatic brain injury (mTBI, also known as concussion) caused by the head impact is a crucial global public health problem, but the physics of mTBI is still unclear. During t…
Relationship between brain injury criteria and brain strain across different types of head impacts can be different
Xianghao Zhan, Yiheng Li, Yuzhe Liu +10
Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after head impacts. These BIC originated from different types of head impacts (e.g., sport…
Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion
Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond +6
Objective: Many recent studies have suggested that brain deformation resulting from a head impact is linked to the corresponding clinical outcome, such as mild traumatic brain inju…
A New Open-Access Platform for Measuring and Sharing mTBI Data
August G. Domel, Samuel J. Raymond, Chiara Giordano +22
Despite numerous research efforts, the precise mechanisms of concussion have yet to be fully uncovered. Clinical studies on high-risk populations, such as contact sports athletes,…