Prashant K. Jha

Assistant Professor of Mechanical Engineering · South Dakota Mines

Predictive mechanics with controlled approximation.

I study how physical and numerical approximation shape trustworthy prediction: which physics a model must retain, which errors actually change an engineering decision, and where computation is worth spending. I pursue these questions across nonlinear solid mechanics, multiscale and fracture modeling, computational design, and scientific AI, from heterogeneous and active materials to error-controlled neural operators.

32 published works since 2018 $290K PI-led awards 3 graduate researchers

Output

Rendered from raw simulation output and from the group's own teaching material

MatTO hMSM beam: density and magnetic fraction optimized together
hMSM beam: density and magnetic fraction optimized together
Nonlocal fracture Crack deflecting around a void
Crack deflecting around a void
Adhesion A flat foot and a mushroom tip pulled off the same substrate
A flat foot and a mushroom tip pulled off the same substrate
PeriDEM 500 deformable particles under compaction, damage at contacts
500 deformable particles under compaction, damage at contacts
Meshing The tutorial starts with mesh generation: domains built before anything is solved on them
The tutorial starts with mesh generation: domains built before anything is solved on them
Residual correction Reference, neural operator, and corrected, side by side
Reference, neural operator, and corrected, side by side
Angiogenesis A vascular network growing through tissue, 3D tissue coupled to 1D vessels
A vascular network growing through tissue, 3D tissue coupled to 1D vessels
Out of distribution Surrogate error under 1.3% on the prior it trained on, and far off it once the input drifts
Surrogate error under 1.3% on the prior it trained on, and far off it once the input drifts
Mode-I propagation A crack running through a plate pulled from top and bottom
A crack running through a plate pulled from top and bottom
Teaching example First tutorial problem: a nonlinear cantilever beam under bending and twisting
First tutorial problem: a nonlinear cantilever beam under bending and twisting
Attrition Four particle shapes in a rotating drum, colored by contact force
Four particle shapes in a rotating drum, colored by contact force
Interface fracture A crack running along a bonded interface, double-cantilever beam
A crack running along a bonded interface, double-cantilever beam

Three thrusts

All research
01

Mechanics and design of field-responsive materials

How electric and magnetic fields interact with microstructure, interfaces and geometry, and how those interactions determine actuation, adhesion and degradation in soft composites.

02

Fracture and failure in heterogeneous materials

How matrix cracking, interface debonding, particle fracture and contact interactions compete to control strength, toughness, localization and residual load capacity.

03

Reliable scientific AI for mechanics, discovery and design

How residuals, error estimates and targeted high-fidelity solves can determine when a reduced or learned model is accurate enough for inference, optimization or design.

Education

All teaching

A graduate course whose spine is error control, an open textbook written as it is taught, twelve executable notebooks, research software with users, and undergraduate research that has reached conference presentations and a first-authored manuscript.

Open textbook, written as the course runs
12 executable notebooks
31 forks of the group's materials
6 courses across three institutions

Projects underway

All projects
active

Adhesion of field-responsive materials

A pull-off force is one number describing at least four different mechanisms. Separating them is what lets a measurement support a design rule that transfers, instead of one fitted curve.

Field-responsive materials
active

Interface fracture in particle composites

Effective properties for a composite have to come from somewhere. This project derives them from resolved micro-scale fracture simulations, after first settling which description of the interface to trust.

Fracture & failure
active

Failure and fatigue in magnetic soft materials

Magnetic soft composites are designed as if the particle–matrix interface were perfect. This project asks what changes when it is not, and whether that is what sets how long the material keeps working.

Field-responsive materials · Fracture & failure
active NSF ERI

Mechanics of granular media

Particle-resolved and multifidelity modeling of granular assemblies whose particles deform, break and rearrange under load.

Fracture & failure
active SDBOR CRG

Design of magnetic soft materials

Choosing where to put material and where to put magnetization, at the same time, so a soft structure moves the way a design problem asks it to.

Field-responsive materials

Software

All software