Can Allsolve simulate a full PMUT or CMUT array instead of a single cell?

Yes. Allsolve models the complete transducer array rather than one representative cell, so array-level effects like crosstalk, acoustic radiation, and beam formation are captured directly in one simulation instead of being approximated or left out.

Does it capture crosstalk between array elements?

Yes. Because the whole array is solved together with coupled physics, inter-element crosstalk and acoustic coupling appear in the result, rather than surfacing only as artefacts when the prototype is measured.

How does Allsolve couple electrical, mechanical, and acoustic physics?

All physics are solved simultaneously in a single model rather than passed sequentially between separate tools, including viscoelastic damping in packaging and lens layers that acoustic-only solvers often ignore.

How much faster is cloud simulation than desktop FEM for MUTs?

In a published PMUT yield study, 1,000 Monte Carlo simulations ran in about 15 minutes on the cloud versus roughly 66 hours on a desktop workflow, about 260 times faster, which makes full design-space and manufacturing-variation studies practical overnight.

Can I run manufacturing-yield or Monte Carlo studies?

Yes. Monte Carlo analysis over manufacturing variation is built in. A PMUT example predicted 71.9% manufacturing yield and identified oxide thickness as the critical parameter.

Does it fit a scripted or Python workflow?

Yes. The Python SDK lets you write a parameter sweep once and launch hundreds of variants from code, then pull the results straight into AI-surrogate training or an existing engineering pipeline.

Can Allsolve help with CMUT setup complexity?

CMUT models are notoriously hard to set up. Allsolve pairs the software with hands-on application support so the coupled model is built correctly, which is how teams get a full-array CMUT simulation running in practice.

Academic Program | Quanscient Allsolve

Who it's for

Built for research groups

Multiphysics-heavy groups keep hitting the same wall: the model outgrows the desktop, and a real run waits in the cluster queue. The Academic Program removes that wall. It starts with MEMS and micromachined ultrasonic transducer (PMUT/CMUT) labs, and is expanding to more fields.

The desktop runs out of room

An array with inter-element crosstalk doesn't fit in workstation memory

The cluster needs a specialist

Tuning a run for a high-performance cluster takes specific skill, and grant cycles are short.

The model drifts from the bench

The simplified stand-in stops matching the transducer being measured, often before anyone notices why.

What you get

Everything the group needs on one account

Full Allsolve core plan

Every physics module, unlimited users on one account. Add a researcher without new licensing.

Cloud-native, nothing to install

No HPC cluster to requisition, no IT ticket. Open a browser and compute scales with the sweep the project needs.

Academic pricing, fixable for the grant

Set a price that holds for the length of the funded project, so budgeting stays simple.

AI Assistant and example library

A new researcher sets up a model from a rich set of MEMS/MUT examples, without waiting on the one person who knows how.

Computational experiments with AI agents

Build studies straight from the research plan, driven by agents from your own scripts.

A partnership, not just a license

Visibility for your lab and co-marketing on the publications that come out of the work.

Trusted and validated

The same platform runs in industry and academia

Nothing here is hypothetical. These are worked PMUT examples from our own technical library — cloud-scale studies that aren't practical on a desktop.

Open our scientific publications -->

Worked example — PMUT generative design

10,000

parallel cloud simulations, one sweep

MultiphysicsAI trained a surrogate model on 10,000 cloud simulations to map the sensitivity–bandwidth trade-off, then found a design lifting fractional bandwidth from 65% to about 100% at 12 MHz.

Open the full example →

Worked example — PMUT yield prediction

260×

faster than a sequential desktop run

A Monte Carlo sweep of 1,000 fabrication variations ran in 15 minutes on the cloud, versus about 66 hours sequentially, predicting 71.9% manufacturing yield and pinpointing oxide-layer thickness as the main driver.

Open the full example →

The offer

Program terms

Term length	Compute allowance	Included benefits
1–3 years, with the option to fix pricing for the grant period.	32, 64, 128, 256, 512… parallel cores. An example range that scales with what the project needs.	Innovation examples for your field, the AI Assistant, email support, and publication co-marketing.

Academic use only. Solutions acquired through the Academic Program may not be used for commercial activity, including commercial production design, design validation or assessment, manufacturing-engineering work, commercial research, consulting performed by academic students, faculty or account staff, or training of company employees.

What we ask back

A short case story about your research, written with our marketing team, on your terms.
A willingness to take part in Quanscient events, under a separate agreement.
A mention of Allsolve in the papers, posters and theses that come out of the work.

Array-scale multiphysics simulation, on academic terms

Give your research group the same cloud-native solver used in industry: every physics module, unlimited researchers, and pricing you can fix for the grant period.

Trusted by both industry and academia