OUR FLAGSHIP / IN RESEARCH

VALTRIX

Scientific screening.
Reproducible by design.

An early-stage platform connecting materials data, predictive models, and an inspectable evaluation workflow.

THE RESEARCH QUESTION

Which candidates deserve
the next stage
of validation?

Materials data → property estimates → technical review

PURPOSE

Support the next
scientific decision.

Prediction becomes useful when its inputs, methods, and evaluation can be understood.

VALTRIX explores scientific screening and candidate prioritization for materials and molecular research. Our public JARVIS example uses composition and crystal-structure features with a tabular neural model to predict exfoliation energy.

The platform is in research. Technical briefs are available for prospective collaborators working on materials-property prediction or molecular screening.

PUBLIC EVIDENCE / JARVIS

Exfoliation-energy prediction.

Submitted for review
37.6200Reported test MAE

V7 CORE++ · dft_3d

Evaluated on the official test split of 81 materials. The public package includes inference code, the model checkpoint, and instructions to reproduce the submitted predictions.

Submission PR #34 is open in the active JARVIS-Leaderboard repository. Acceptance and leaderboard integration are pending.

A TRACEABLE WORKFLOW

Follow the prediction.

01

Composition & structure

The public example constructs 196 numerical features from chemical composition and crystal structure.

02

Saved model & preprocessing

The inference package applies the stored preprocessing and trained checkpoint to generate predictions.

03

Public evaluation record

Inspect the reported result alongside its code and the current benchmark submission status.

COLLABORATION

Start with a
well-defined question.

A material property. A dataset. An evaluation requirement.

We welcome discussions with scientific R&D teams and research partners who need to understand a model’s inputs, reproducibility, and suitability for a screening workflow.

Discuss a pilot

LET’S WORK ON A REAL QUESTION

Bring the research.
Let’s discuss the next step.

For scientific R&D teams, research collaborators, and technical partners exploring materials or molecular screening.

Discuss research

Direct contact with the founder
Kamran Soleimani · Belgium