Prof. Stefano Curtarolo — Research Profile
Graduate application deadlines
Thomas Lord Department of Mechanical Engineering and Materials Science
Ph.D. in Mechanical Engineering and Materials Science
Fall 2027Application deadline
Dec 11, 2026
Closing date
Mar 8, 2027
Source: gradschool.duke.eduChecked Nov 2, 2026M.S. in Mechanical Engineering and Materials Science
Fall 2027Application deadline
Jan 19, 2027
Application round
Mar 17, 2027
Source: gradschool.duke.eduChecked Nov 2, 2026
Considering this lab for grad school?
Save it to compare side by side with other labs. Jot a one-line note under each paper below — Application prep gathers your notes into an outline for your email to the PI and your statement of purpose. You do the writing; no AI.
What to prepare before emailing a PIAbout
Prof. Stefano Curtarolo at Duke University Thomas Lord Department of Mechanical Engineering and Materials Science lists Computation & Artificial Intelligence, Energy Systems & Materials, Artificial Intelligence Materials Science, Autonomous Materials Design, Computational materials science, High-Entropy Disordered Systems, Materials for Energy Applications, Materials for Aerospace Applications as their registered research area.
Research keywords
Recent papers
- AI in bioceramics: A perspective on data-driven material design, discovery, and translationProgress in Materials Science · Oct 26
- AFLOW-EMERALD: ElectroMagnetic modes EngineeRing in Advanced LayereD materialsComputational Materials Science · Oct 22
- Immiscible lamellar microstructure observation in Group IV – Group V pseudobinary transition metal diboridesActa Materialia · Oct 17
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Machine Learning in Materials Science
Markus Buehler Lab
Massachusetts Institute of Technology · Department of Mechanical Engineering
Models building models for discovery of graphene metamaterial design principles in the context of failurePreprintChemRxiv · Oct 1Nikhil Chandra Admal Lab
University of Illinois Urbana-Champaign · Mechanical Science and Engineering
Efficient rigorous stress field calculations for machine learning interatomic potentialsMachine Learning Engineering · Aug 19Ertekin Research Group
University of Illinois Urbana-Champaign · Mechanical Science and Engineering
Analysis of fine-tuned foundation interatomic potentials and their knowledge distillation into a cluster expansion for Ni–Pt ordering thermodynamicsPreprintChemRxiv · Oct 1
Other labs in this department
- Adrian Bejan Lab
Energy Systems & Materials
- Alec Gallimore Lab
- Bavand Keshavarz Lab
Aerodynamics & Aeroelasticity, Biomechanics & Biomaterials, Soft Matter & Nanoscale Materials, Mechanics of Soft Materials
- Boyuan Chen Lab
Robotics & Autonomy
- Brian Mann Lab
Biomechanics & Biomaterials, Energy Systems & Materials, Robotics & Autonomy, Nonlinear dynamics and vibration
- Brinson Lab
Cate Brinson
Biomechanics & Biomaterials, Computation & Artificial Intelligence, Soft Matter & Nanoscale Materials