46 citations · 131 across the 14 of their papers we have counts for
5 papers · 1 filter
Scalable dynamical inference of phase-field fracture from sparse and partial measurements
Hanfeng Zhai, Zisheng Zhang
Evolving crack fields in structural health monitoring and fracture assessment must often be inferred from sparse mechanical measurements rather than dense full-field observations.…
A convolutional neural network surrogate for hierarchical homogenization: fast elastic moduli prediction of digital rocks
Hanfeng Zhai, Rasool Ahmad, Tapan Mukerji +1
Digital rock physics (DRP) aims to estimate effective rock properties (e.g., elastic moduli) directly from 3D micro-CT images. However, direct numerical simulations (DNS) on high-r…
Scalable Physics-Informed Neural Differential Equations and Data-Driven Algorithms for HVAC Systems
Hanfeng Zhai, Hongtao Qiao, Hassan Mansour +1
We present a scalable, data-driven simulation framework for large-scale heating, ventilation, and air conditioning (HVAC) systems that couples physics-informed neural ordinary diff…
Learning Interatomic Force Coefficients from X-ray Thermal Diffuse Scattering Data
Klara Suchan, Shaswat Mohanty, Hanfeng Zhai +1
We present a fully automated framework for extracting interatomic force constants (IFCs) directly from X-ray thermal diffuse scattering (TDS) data. By formulating scattering intens…
Atomistic and data-driven insights into the local slip resistances in random refractory multi-principal element alloys
Wu-Rong Jian, Arjun S. Kulathuvayal, Hanfeng Zhai +5
Refractory multi-principal element alloys (RMPEAs) have attracted growing interest for their exceptional high-temperature strength, yet their complex compositions hinder a mechanis…