Sandeep Kumar

Sandeep Kumar Email and Phone Number

Research Scientist (Group Deputy Head) @ Helmholtz-Zentrum Berlin
Berlin, DE
Sandeep Kumar's Location
Berlin, Berlin, Germany, Germany
Sandeep Kumar's Contact Details

Sandeep Kumar work email

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About Sandeep Kumar

Owing to my computational physics background, I have acquired extensive analytical and computational skills during my doctoral and postdoctoral training. I have international industrial experience having worked with two prestigious companies namely Umicore, Belgium, and IEE S.A. Luxembourg. I have rich experience in collecting, data cleansing, analyzing, interpreting large datasets, building data-driven applications using Python and machine learning, critical problem solving, academic writing, strong attention to detail, and a significant ability to work in a team. Based on my scientific career, I have had the opportunity to code with Python, FORTRAN, Matlab, Scilab, Shell Scripting, Message Passing Interface (MPI) for parallel programming, SQL/No-SQL, etc. During our research project at the University of Luxembourg and IEE S.A Luxembourg, I have worked on high-throughput density functional theory (DFT) calculations based on hybrid-functional to calculate the optical and electronic properties of hundreds of semiconductor materials and to provide detailed information on the strength of the various light-matter interaction mechanisms present in the infrared (IR) spectral range. The aim of this project was to explore new materials that might be suitable to produce cheaper and more efficient cameras for night vision and automatic driving. To handle the big database, I have used numerical methods as well as analytical calculations. Utilizing data Handling and visualization tools such as Python, Machine Learning, Monte Carlo algorithm, Shell Scripting, Matlab, Scilab, FORTRAN, Pandas, Seaborn, Matplotlib and High-performance computing were important tools to accomplish the projects. Consequently, I am motivated to pursue my career as a Computational Physicist/ Researcher/Data Scientist/Analyst/Materials Scientist.I have rich experience working with multinational groups in four different countries (India, Israel, Luxembourg, Belgium, and Germany) which enhances my communication skills, teamwork skills, technical skills, project management skills as well as other desired skills. I have also experience working with multiple projects simultaneously and managing them successfully using project management strategies. More than 14 peer-reviewed scientific publications are the demonstration of my strong problem-solving, creative thinking, and analytical skills resulting in the timely completion of challenging projects. As a computational and analytical physicist, I am confident that my skills and qualifications will make me an asset to your company/institution.

Sandeep Kumar's Current Company Details
Helmholtz-Zentrum Berlin

Helmholtz-Zentrum Berlin

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Research Scientist (Group Deputy Head)
Berlin, DE
Employees:
855
Sandeep Kumar Work Experience Details
  • Helmholtz-Zentrum Berlin
    Research Scientist (Group Deputy Head)
    Helmholtz-Zentrum Berlin
    Berlin, De
  • Helmholtz-Zentrum Berlin
    Research Scientist
    Helmholtz-Zentrum Berlin Jul 2024 - Present
    Berlin, Germany
    The computation of X-ray absorption (XAS) and resonant inelastic X-ray scattering (RIXS) spectra plays a critical role in elucidating the electronic structure and dynamic properties of inorganic solids. This study leverages the Density Functional Theory (DFT) combined with the Restricted Open-Shell Configuration Interaction Singles (ROCIS) method to accurately simulate XAS and RIXS spectra for a range of inorganic materials, including transition metal oxides, rare earth compounds, and complex oxides.Our computational approach integrates ML/DFT/ROCIS to account for the detailed electronic interactions and core-hole effects crucial for X-ray spectroscopy. The ROCIS method, known for its robust treatment of excited states and core-level spectroscopy, is particularly suited for capturing the intricate nature of core-electron excitations and subsequent inelastic scattering processes in RIXS. The study includes a thorough examination of computational parameters such as the choice of exchange-correlation functional, basis sets, and the treatment of core-hole effects, ensuring comprehensive and accurate spectral simulations.Finally, we will validate our methodology against experimental XAS and RIXS spectra of various prototypical inorganic solids.
  • Ugent
    Research Scientist
    Ugent Apr 2022 - Apr 2024
    Ghent, Flemish Region, Belgium
    We have worked on the screening of electrolytes for solid-state Li-ion batteries in experimental collaboration with a large industrial company (Umicore, Belgium). The tool of choice is high-throughput (HT) screening using density-functional theory (DFT), supported by machine learning. Furthermore, solid-state batteries are considered the next generation of batteries, but they still suffer from high interfacial resistance. Challenges include continuous interfacial side reactions, limited electrochemical windows, contact issues, side reactions in moisture, and cracks or pulverization issues. In this direction, structure optimization, energy above the hull, phase stability, average cathode voltage, interface stability, and (electro)-chemical stability have been investigated to discover the new electrolytes for the better performance of solid-state Li-ion batteries.
  • University Of Luxembourg
    Research Scientist
    University Of Luxembourg Dec 2018 - Mar 2022
    Department Of Physics And Materials Science, Limpertsberg Campus, Luxembourg
    We have worked on high-throughput density functional theory (DFT) methodology and Machine learning to calculate thousands of semiconductor materials' electronic and optical properties and provide detailed information on the strength of the various light-matter interaction mechanisms present in the Infrared (IR) spectral range. The project was an experimental collaboration with an industrial company ( IEE SA Luxembourg)This project aimed to explore new materials that might be suitable to produce cheaper and more efficient cameras for night vision and automatic driving. To handle the big database, we have used numerical methods as well as analytical calculations. Utilizing data Handling and visualization tools such as Python, Machine Learning, Monte Carlo algorithm, Shell Scripting, Matlab, Scilab, FORTRAN, Pandas, Seaborn, Matplotlib, and High-performance computing were important tools to accomplish the projects.
  • Bar Ilan Institute For Nanotechnology And Advanced Materials (Bina), Bar Ilan University
    Research Scientist
    Bar Ilan Institute For Nanotechnology And Advanced Materials (Bina), Bar Ilan University Mar 2017 - Oct 2018
    Ramat Gan, Tel Aviv, Israel
    We have worked intensely on the theoretical and computational study of Li-ion battery properties using high-level quantum mechanical calculations. This work has been done in collaboration with the experimental group at the Weizmann Institute of Science (WIS), Israel.
  • Indian Institute Of Technology, Bombay
    Research Scholar
    Indian Institute Of Technology, Bombay Jan 2011 - Feb 2017
    Mumbai
    In my doctoral work, we have studied the ground state properties of ordered and disordered alloys. In particular, we have focused on how chemical doping affects the electronic, magnetic, and superconducting properties of iron-based superconductors and their substitutional alloys. We have used state-of-the-art DFT calculations by employing the Green's function-based Korringa–Kohn–Rostoker method formulated within atomic sphere approximation (KKR-ASA) to study these superconducting alloys. The coherent potential approximation (CPA), virtual crystal approximation (VCA), and special quasirandom structures (SQS) have been used to account for the disordered on each lattice site. However, one can also study this type of disorder by using supercell calculations, which are generally more time-consuming and computationally expensive calculations. In addition, chemical doping has become an indispensable tool and it can facilitate one in characterization, control, and design of the different properties of materials.
  • Indian Institute Of Technology, Bombay
    Research Associate
    Indian Institute Of Technology, Bombay Jun 2016 - Nov 2016
    Mumbai, Maharashtra, India
  • Pm Dimensions Pvt.Ltd.
    Associate Consulting Engineer
    Pm Dimensions Pvt.Ltd. Apr 2010 - Jan 2011
    @PM Dimensions Pvt.Ltd.

Sandeep Kumar Education Details

Frequently Asked Questions about Sandeep Kumar

What company does Sandeep Kumar work for?

Sandeep Kumar works for Helmholtz-Zentrum Berlin

What is Sandeep Kumar's role at the current company?

Sandeep Kumar's current role is Research Scientist (Group Deputy Head).

What is Sandeep Kumar's email address?

Sandeep Kumar's email address is sandeep.kumar@uni.lu

What schools did Sandeep Kumar attend?

Sandeep Kumar attended Indian Institute Of Technology, Bombay, Indian Institute Of Technology, Kanpur.

Who are Sandeep Kumar's colleagues?

Sandeep Kumar's colleagues are Peter Smeibidl, Holger Stillrich, Dr. Sebastian Malerz, Frank Lennartz, Habicht Klaus, Martin Munz, Bella Lake.

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