Prof. Jan Schroers — Research Profile
Yale University · Mechanical Engineering
Graduate application deadlines
Mechanical Engineering
PhD in Mechanical Engineering
Fall 2027Application deadline
Dec 15, 2026
MS in Mechanical Engineering
Fall 2027Application deadline
Dec 15, 2026
No year on the page — check the original to confirm these dates are for this cycle.
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Prof. Jan Schroers at Yale University Mechanical Engineering lists Micro & Nano Replication, MEMS Materials & Processes, Amorphous Metallic Foams, Bulk Metallic Glasses, Bio-Medical Applications, Net-shaping processing Methods incorporating a wide range of length scales, Thermo Plastic Forming as their registered research area.
Research keywords
Recent papers
- The role of crystalline phase in the dissolution mechanism and mechanical response of bioresorbable MgZnCa bulk metallic glasses and compositesPhilosophical Magazine Letters · Oct 12
- Predicting glass-forming ability in binary alloys by machine learningActa Materialia · Sep 23
- Accessing Ultra‐Nano Phase‐Separated Metallic Glasses via Cryogenic CyclingRare Metals · Sep 1
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
Yufei Ding Lab
University of California, San Diego · Department of Computer Science and Engineering
Boron-assisted synthesis of compositionally complex amorphous oxides via short-range-order-constrained generative designScience Advances · Sep 25Shared topic: Metallic Glasses and Amorphous Alloys
Nikhil Chandra Admal Lab
University of Illinois Urbana-Champaign · Mechanical Science and Engineering
The effect of local stacking fault fluctuations on dislocation glide and the interplay with solid solution strengthening in Al-Mg alloysNewPreprintarXiv (Cornell University) · Nov 2Shared topic: Microstructure and mechanical properties
Ertekin 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 1Shared topic: Machine Learning in Materials Science
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