About

Kinston Ackölf

Materials informatician, scientist, and engineer. PhD candidate (ABD) in Materials Science & Engineering at the University of Utah, in the Sparks Group with Prof. Taylor D. Sparks. Expected to graduate December 2026.

I publish as Kinston A. Ackölf; some records and documents list me as Kinston T. Wong. Both are me.

Self-driving laboratories Materials informatics Physics-informed ML Computational materials science Surface science 2D materials Semiconductor R&D Research automation Game theory

What I work on

My research is in materials information science: the architecture of autonomous materials research systems. I'm building HaikuSDL, a modular, lean-agile self-driving laboratory (SDL) that connects laboratory policies, and how they're executed, to decisions in materials science and chemistry using data collected while experiments run.

The question running through my articles is how a self-driving lab should transfer knowledge between sources whose fidelity is known only qualitatively: DFT at different levels, machine-learned interatomic potentials, molecular dynamics, experimental compilations, and materials databases. When can a borrowed source be trusted, and what does reusing it save?

Before the PhD I worked in industry as an engineer. See Engineering for my experience, education, and skills.

Research at a glance

All articles ↗
15first-author manuscripts
13public code & data repositories
261,053records from 8 sources rated for reuse
32% → 18%compute to find 8 of the 10 most stable Al–Mg–Si compounds

Publications

Google Scholar ↗

Outside the lab

When I'm not thinking about atoms and bits, I'm making music and dancing as KinzAc, training in sports, or making things by hand.

Find me online

Always happy to talk about collaborations on self-driving labs and materials informatics.