9 citations · 22 across the 6 of their papers we have counts for
7 papers
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…
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…
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…