Jan Schroers
· Robert Higgin ProfessorYale University · Materials Science
Active 1995–2026
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About
Jan Schroers is a professor affiliated with the Schroers Lab at Yale University, specializing in the field of materials science. He holds a B.S. and M.S. in Physics from the University of Cologne, a Ph.D. in Physics from RWTH Aachen, and completed a postdoctoral fellowship in Materials Science at the California Institute of Technology. His academic background reflects a strong foundation in physics and materials science, which underpins his research activities at Yale. The Schroers Lab focuses on advanced materials research, including metallic glasses and other novel materials, although specific details about Professor Schroers' individual research interests and contributions are not explicitly detailed in the provided text.
Research topics
- Materials science
- Physics
- Composite material
- Chemistry
- Computer Science
- Thermodynamics
- Metallurgy
- Artificial Intelligence
- Chemical physics
- Nanotechnology
Selected publications
Theoretical prediction of high melting temperature for a Mo–Ru–Ta–W HCP multiprincipal element alloy
npj Computational Materials · 2021 · 249 citations
Abstract While rhenium is an ideal material for rapid thermal cycling applications under high temperatures, such as rocket engine nozzles, its high cost limits its widespread use and prompts an exploration of viable cost-effective substitutes. In prior work, we identified a promising pool of candidate substitute alloys consisting of Mo, Ru, Ta, and W. In this work we demonstrate, based on density functional theory melting temperature calculations, that one of the candidates, Mo 0.292 Ru 0.555 Ta…
Data-driven discovery of a universal indicator for metallic glass forming ability
Nature Materials · 2021 · 146 citations
Metastability in high entropy alloys
Scripta Materialia · 2020 · 105 citations
Senior authorCorrespondingThe high entropy effect is often insufficient to fully stabilize single-phase solid solutions (SPSS), yielding only few, mostly metastable SPSS. While the prospective space of favorable SPSS formation is smaller than commonly assumed, larger degrees of metastability can open up the vast High Entropy Alloy space. We argue that HEAs form metastable SPSS through polymorphic solidification upon rapid cooling. To quantify a HEA's metastability, we propose the critical cooling rate of SPSS formation R…
Machine learning versus human learning in predicting glass-forming ability of metallic glasses
Acta Materialia · 2022 · 49 citations
Senior authorCorrespondingComplex materials science problems such as glass formation must consider large system sizes that are many orders of magnitude too large to be solved by first-principles calculations. The successful application of machine learning (ML) in various other fields suggests that ML could be useful to address complex problems in materials science. To test its efficacy, we attempt to predict bulk metallic glass formation using ML. Surprisingly, we find that a recently developed ML model based on 201 allo…
Size-dependent vitrification in metallic glasses
Nature Communications · 2023-08-04 · 39 citations
articleOpen accessAbstract Reducing the sample size can profoundly impact properties of bulk metallic glasses. Here, we systematically reduce the length scale of Au and Pt-based metallic glasses and study their vitrification behavior and atomic mobility. For this purpose, we exploit fast scanning calorimetry (FSC) allowing to study glassy dynamics in an exceptionally wide range of cooling rates and frequencies. We show that the main α relaxation process remains size independent and bulk-like. In contrast, we obse…
Recent grants
GOALI: Miniature Net-Shape Fabrication Method Using Thermoplastic Forming with Bulk Mettalic Glass
NSF · $367k · 2008–2013
Nanoimprinting with Amorphous Metals
NSF · $363k · 2009–2013
NSF · $400k · 2014–2017
Frequent coauthors
- 68 shared
Corey S. O’Hern
Yale University
- 57 shared
Ze Liu
Guangzhou Medical University
- 57 shared
William L. Johnson
University of New Mexico
- 55 shared
Mark D. Shattuck
- 54 shared
Yanhui Liu
Peking University
- 53 shared
André D. Taylor
New York University
- 50 shared
Sungwoo Sohn
- 45 shared
Yanhui Liu
Institute of Physics
Labs
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