Alexander Goldman
Alexander Goldman

Materials engineer and inventor · Ames, Iowa

Alexander Goldman, Ph.D.

I invent materials and build the means to make them.

I am looking for conversations with founders, investors and operators in materials, manufacturing and hard technology.

Magnesium alloy design · laser powder bed fusion and directed energy deposition process development · SEM, EBSD and TEM characterization

What I do

I hold a Ph.D. in Industrial Engineering from Iowa State University, and a bachelor's in materials science and engineering from the University of Nevada, Reno. My doctoral work produced a rare-earth-free magnesium alloy family: I designed the compositions, cast and extruded them, heat treated them, and then found out through mechanical testing and electron microscopy why one composition was both stronger and more ductile than the last. A patent application on that family is filed.

The work runs end to end, which is the part that matters commercially. I have built a micro-industrial laboratory from an empty room: vacuum induction furnace, wire EDM, three-axis CNC, lathe, electropolishing and electron microscopy. I am usually the first in a group to learn a technique, and then I write the procedure down and train everyone else on it. I host tours of our shared additive laboratory for visitors of every technical background, which is where the metallurgy has to be explained rather than measured.

I am a chronic problem solver, which mostly means I do not stop at the behavior. I stop at the cause.

I am now moving that work toward commercialization, and I take part in the startup community in central Iowa. If you are building something where materials or manufacturing decide whether it works, that is the conversation I want.

Selected projects

Rare-earth-free Mg-Al-Bi alloys

2023 to 2026

A magnesium alloy family that gains strength and ductility at the same time, which those two properties usually refuse to do together. Bismuth suppresses the Mg17Al12 precipitate and aluminum suppresses twinning; the combination is what buys both. Designed, cast, extruded, heat treated and tested in our own laboratory, then published in Materials Science and Engineering: A.

Patent application filed with Iowa State University Technology Transfer.

alloy designvacuum induction castingextrusionEBSDmechanical testing

Machine-learned potentials for lightweight and shape-memory alloys

2026
01Calculatequantum mechanics(DFT) 02TrainACE or MACE 03Testproperties itnever saw 04Simulatelarge-scalemolecular dynamics refit where it fails 01Calculatequantum mechanics (DFT) 02TrainACE or MACE 03Testproperties it never saw 04Simulatelarge-scalemolecular dynamics refit where it fails
Every potential is tested on properties it was not trained on before it is trusted.

Quantum-mechanical calculations are accurate, and far too slow for the hundreds of thousands of atoms a deformation study needs. I train machine-learned interatomic potentials on those calculations, using the ACE and MACE frameworks. Each potential is tested against properties it never saw in training before it is trusted in large molecular dynamics runs, for lightweight alloys and for shape-memory alloys.

ACEMACEDFTmolecular dynamicsLAMMPS

Coloring simulated crystals by orientation

2026, open source

ptm-ipf on GitHub

A simulated magnesium polycrystal drawn as colored atoms in a cube, and the same crystal as a flat orientation map of the kind an EBSD detector produces.
Atoms in, an orientation map out: one simulated magnesium polycrystal, before and after.

Atomistic simulations produce millions of atoms and no picture a metallurgist can read. This software turns them into the pictures we already know how to read: EBSD-style inverse pole figure maps, pole figures and orientation densities, in the same EDAX and TSL color key an EBSD detector would give, verified against orix to 2 parts in 100,000. It has a command line, a local web interface and tests that run on Linux, Windows and macOS.

PythonOVITOcrystallographyopen source

Multiscale digital twin for metal additive manufacturing

in progress
The machine DED on a robot arm laser powder bed The simulation stack powder grain structure heat and stress slicer and toolpath An engineer decides reviews suggestions build data suggestions the next layer, or the next build The machine DED on a robot arm laser powder bed The simulation stack powder grain structure heat and stress slicer and toolpath An engineer decides reviews suggestions build data suggestions the next layer, or the next build
An engineer stays in the loop, between layers and between builds.

A simulation stack for wire and powder directed energy deposition on a robot arm, and for laser powder bed fusion, intended to run beside the real machine rather than after it: machine data feeds the simulation, and the simulation feeds back process parameters worth trying.

LPBFDEDprocess modelingsimulation

A micro-industrial laboratory

2023 to 2026
01Meltvacuum induction 02Cutwire EDM 03MachineCNC and lathe 04Heat treatcontrolled furnace 05Polishelectropolishing 06Examineelectron microscopy 01Meltvacuum induction 02Cutwire EDM 03MachineCNC and lathe 04Heat treatcontrolled furnace 05Polishelectropolishing 06Examineelectron microscopy
The chain an alloy study needs, from ingot to micrograph, in one room.

Specified, installed and now operate the equipment an alloy study needs from beginning to end: vacuum induction melting, wire EDM, three-axis CNC milling, metal lathe, heat treatment, electropolishing, and sample preparation for electron microscopy. Written procedures for each, and the training that goes with them.

lab buildprocedurestraining

Publications

Goldman, A., Xu, Z.G., Li, B., Liao, Y.L., Jordan, A. (2025). Effect of alloying elements on the mechanical behavior of extruded Mg-Al-Bi alloys. Materials Science and Engineering: A. 10.1016/j.msea.2025.148941

Li, B., Goldman, A., Xu, J. (2023). Reactive diffusion of lithium in silicon in anode materials for Li-ion batteries. Materialia. 10.1016/j.mtla.2023.101796

Schoelmerich, M.O., et al., including Goldman, A. (2023). Developing a platform for Fresnel diffractive radiography with 1 µm spatial resolution at the National Ignition Facility. Review of Scientific Instruments. 10.1063/5.0101890

Rahman, M.H., Werth, H., Goldman, A., Hida, Y., Diesner, C., Lane, L., Menezes, P.L. (2021). Recent progress on electroactive polymers: synthesis, properties and applications. Ceramics. 10.3390/ceramics4030038

The current list is on ORCID 0000-0002-0804-5049.

Experience

Research Assistant, Iowa State University

2023 to 2026

Ames, Iowa

  • Ran a full material qualification study: alloy design, vacuum induction casting, extrusion, heat treatment, mechanical testing and microstructural characterization.
  • Designed heat treatments to control intermetallic precipitate morphology, and measured what each one did to the mechanical response.
  • Designed and analyzed structured experiments to connect process to microstructure to properties, with the statistics done in Python.
  • Built and operate the laboratory the work runs in.

Research Intern, Polish Academy of Sciences

2023

Kraków, Poland

Research Assistant, University of Nevada, Reno

2021 to 2023

Reno, Nevada

  • Fabricated micron-scale optics by focused ion beam milling for a National Ignition Facility beamline, published as the Fresnel radiography platform above.

Research Intern, National Renewable Energy Laboratory

2021

Golden, Colorado

Makerspace Consultant, University of Nevada, Reno

2019 to 2021

Reno, Nevada

Education

Ph.D., Industrial Engineering

2026

Iowa State University, Department of Industrial and Manufacturing Systems Engineering. Defended August 2026.

B.S., Materials Science and Engineering

2021

University of Nevada, Reno. Minors in mathematics and manufacturing quality.

Awards and credentials

Contact

Write to me. I answer.

hello@alexandergoldman.org