Connect the models
Combine physical theories and learned predictors to describe molecular behavior across properties and conditions.
Models of the molecular world
A clearer view
of what
comes next.
The next material. The right solvent.
The experiment worth
doing.
Eleventh Form Lab combines physical chemistry, machine learning, and laboratory experiments to build molecular world models.
Models guide what to measure. Experimental results reveal where predictions hold, where they fail, and what to learn next.
Explore our approach
Model. Measure. Learn.
01 / Approach
Physics provides structure.
Experiments teach the model.
No single model captures the whole molecular world. We connect complementary models with carefully designed experiments, using measured behavior to refine predictions and uncertainty to decide what to test next.
Measure in the lab
Design experiments that vary relevant conditions, measure molecular behavior, and compare the results with predictions.
Learn from the difference
Use those differences to improve the models, test them on unseen compounds, and choose the next informative measurement.
02 / Research
A broad vision.
A testable first step.
Research focus
Beginning with how molecules dissolve.
Solubility connects molecular interactions, crystal stability, and the surrounding solvent. It is a practical place to test a larger idea: can a small set of well-chosen experiments improve predictions for molecules that have never been measured?
Our approach pairs solubility modeling with controlled laboratory measurements: equilibrate excess solid with a solvent, quantify how much dissolves, and check the remaining solid form. Those measurements help us test transferable corrections, select the next experiment, and evaluate predictions on unseen compounds.
- Starting point
- Pharmaceutical & biotechnology development
- Longer horizon
- Models spanning physical chemistry, chemicals & materials
03 / The lab
Built at the intersection
of science and software.
Our team's experience spans biological research, scientific software engineering, and molecular-modeling workflows in the pharmaceutical industry. We bring scientific depth and production software experience to the challenges of physical chemistry.
Our work connects laboratory measurements with computational predictions, from pharma and biotech to broader applications in chemicals and materials. We welcome conversations with scientists, research collaborators, and industry partners.
04 / Contact
What are you
trying to understand?
Tell us about a scientific challenge, a potential collaboration, or a question about the lab.