Dr. Alexander Lichtenstein

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Biography

Alexander Lichtenstein is a research group leader at the Institute of Theoretical Physics at the University of Hamburg, where he focuses on theory, magnetism, and electronic correlations. His work investigates exchange interactions in magnetic materials based on a density functional approach. He has developed efficient computational schemes that combine precision first-principles band-structure calculations with complex treatments of electron-electron correlations in d- and f-electron systems, specifically employing methods such as LDA+U and LDA+DMFT. Moreover, he has contributed to advancements in continuous time quantum Monte Carlo methods to address multiorbital impurity problems. His research explores non-local correlation effects in low-dimensional quantum systems using fully renormalized dual-fermion perturbation techniques. Throughout his career, Lichtenstein has been recognized with several awards, including the State Prize for young scientists in 1988 and again in 1995, the Intel/Rusnano High Performance Computing Prize in 2008, the Max-Born Prize in 2014, and the Ernst Mach Medal in 2015.

Research Interests

Awards

#1

State Prize for Young Scientists

#1

State Prize Russia Science Technology

#1

Intel/Rusnano High Performance Computing Prize

#1

Max-Born Prize

#1

Ernst Mach Medal

Requirements for University of Hamburg

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree in Computer Science or related field At least 60 ECTS in core computer science subjects
Application Checklist
  • Transcript of Records
  • Bachelor's degree certificate (or preliminary transcript)
  • Proof of English proficiency
  • Curriculum Vitae
  • Letter of Motivation
  • Module descriptions/table of 60 ECTS in CS
Specialization Notes

Includes tracks like Intelligent Adaptive Systems (IAS).