01
Interface engineering
Surface chemistry and adhesion systems that hold bonded assemblies together across thermal cycling, humidity and mechanical fatigue.
Advanced materials
Materials designed at the interface, where most systems fail.
ConnectiveKinetics is developing polymers, conductive films and thermal composites for programs that cannot tolerate drift. We work from failure analysis through to pilot formulation, and partner for scale once a material is qualified.
0.4 W/mK
Baseline conductivity uplift
12 yr
Median accelerated-ageing target
±2 nm
Film thickness tolerance
Open
Research and investment conversations
Capabilities
02
Conductive thin films
Solution-cast and vapour-deposited films tuned for sheet resistance, optical clarity and long-term drift under load.
03
Thermal composites
Filled matrices engineered for through-plane conduction without sacrificing dielectric strength or processability.
Explorer
Explore the materials design space.
Three programmes, three parameter studies. Adjust the formulation and process variables to see how indicative properties respond. The same trade-off maps our models navigate at scale, reviewed at every step by a scientist.
45 nm
20 nm120 nm
200 °C
120 °C260 °C
Conductive film
The working layer. Sheet resistance falls with thickness, and optical transmission falls with it.
Sheet resistance
45.7 Ω/sq
Optical transmission
83.3 %
Drift under load
3.5 %/1000 h
Fig. 04 · Parametric explorer. Indicative responses for illustration; not measured data.
Intelligence
AI accelerates discovery. Human judgement decides what matters.
We use machine learning to map formulation spaces, predict degradation pathways, and surface patterns that sit beneath the noise of routine testing. But a model does not understand a failure mode in context, negotiate a qualification schedule, or recognise when a result contradicts physical intuition. That is where our scientists step in.
01
Generative models, constrained by chemistry
Candidate formulations are proposed in silico, then filtered by real thermodynamic, compatibility and process limits before a single batch is mixed.
02
Human-in-the-loop interpretation
Every AI-derived insight is reviewed against microscopy, spectroscopy and lifetime data by the scientist who owns the program.
03
Ingenuity as the guardrail
Algorithms expand the search. People decide what is safe to scale, what is worth qualifying, and what should be abandoned early.
How we work
Scoping
We start from the failure mode, not the datasheet. Constraints, duty cycle and qualification path are defined before formulation begins.
Formulation
Iterative small-batch work with characterisation data returned at every cycle rather than at the end.
Qualification
Accelerated ageing, thermal cycling and mechanical testing against your acceptance criteria, documented for audit.
Transfer
Process parameters, control limits and supply arrangements prepared for transfer to a qualified production partner.