How we see

How we design

Start from the problem, not from the solutions we inherited. Then let four values steer the answer.

Start from the problem

When someone says “I need a better chelator for lead,” the natural response is to look at existing chelators and improve one.

We begin a step earlier. The problem is not “I need a chelator.” The problem is that lead needs to come out of this water, under these conditions, within these constraints. A chelator is one possible answer. A designed binding site is another. A cage with selective pores is another. So is a separation driven by a field, or a reaction that turns dissolved lead into something that settles out.

Many of today’s solutions were first conceived before the underlying physics was well understood, and have been refined ever since. When a field has always used one approach, that is worth noticing. It often means the alternatives were never seriously explored, not that they were worse.

Physics first, data second

Most design tools learn from what molecules have done before and predict what similar molecules might do next. They are powerful, and they are limited to the neighbourhood of what has already been tried.

We start from the other end. What does the physics require? What energy landscape would make the outcome we want the likely one? What molecular system could create it? Only then: does existing data support the prediction, or contradict it?

Measured results are how we check our reasoning. They are not where the reasoning begins.

Four values

These are not decoration. They decide which answer we reach for.

Public good first

We start from the most accessible path: the approach the most people could use with the fewest resources. If a costlier one performs meaningfully better, it is shown alongside, with an honest comparison.

No waste

A scaffold that captures, is rinsed, and returns to work is better than one that works once and becomes landfill. A process that draws its materials from an existing waste stream is better than one that needs a new mine. Every design includes an account of what happens at the end of its life.

Honest uncertainty

We do not say “this is the best.” We say: here are the leading options given what we currently understand, here is how likely each is to work under your conditions, here is what could go wrong, and here is the experiment that would tell us most.

Published results and new predictions are both shown, and the difference between them is always visible.

See the connections

A system selective enough to capture lead from a river may be selective enough to remove it from blood. Because the underlying physics is shared, an answer in one place is often an answer somewhere else. We look for those, and say so when we find them.

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What this makes possible