aakash kumar
Postdoctoral Associate at Yale University
postdoctoral associate energy science institute , yale university
Yale University
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Postdoctoral Associate
Currently investigating the Li intercalation behavior in quasi two-dimensional van der Waals (vdW) heterostructures and the resulting electronic (quasiparticle) structure using density functional theory (DFT) calculations (using Quantum ESPRESSO) and many body perturbation theory based on Green's function (GW) methods. GW calculations are carried out using BerekelyGW (https://berkeleygw.org) software package developed in Prof. Steven Louie's group at UC Berkeley.
New Haven, Connecticut, United States
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University of Pennsylvania
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Postdoctoral Researcher
Investigated the diffusion mechanism along metal/ceramic interfaces (e.g. metal/ceramic interface in interconnects, thermal barrier coatings, Li/electrolyte interface in all-solid-state batteries) using atomistic modeling in collaboration with experimental colleagues.
1. Developed empirical descriptors to predict metal/ceramic interface diffusivity by investigating point defects and adhesion behavior at specific metal/ceramic systems using density functional theory (DFT)
2. Developed and applied first-principles models to predict metastable phases at Ni/alumina interfaces
3. Developed a reactive force-field (ReaxFF force-field in collaboration with Prof. Adri van Duin's group at The Pennsylvania State University for large-scale molecular dynamics (MD) simulations of Ni/alumina interfaces to understand the role of point defects and misfit dislocations on the interface diffusivity. MD simulations are carried out using LAMMPS program of Sandia National Labs.
Philadelphia
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City University of Hong Kong
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Visiting Fellow
Hong Kong
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Penn State University
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Visiting Scholar
State College, Pennsylvania Area
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University of Florida
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Graduate Assistant
Graduate research work involved design of Ni-base superalloys using atomic-scale modeling and development of novel ab initio modeling fed materials informatics framework to study multicomponent alloys. 
•	Developed the charge optimized many body (COMB) interatomic potential for Ni-Al-O system to simulate the Ni/Ni_3 Al interface (gamma/gamma') using molecular dynamics (MD).
•	Determined the role of alloying additions to the gamma', Ni_3 Al phase in Ni-base superalloys. 
•	Codeveloped a statistical learning model to predict site-preference of ternary additions to Ni_3 Al       using the electronic density of states of doped systems.
•	Developed a novel ab initio-statistical mechanical method to predict the occupancy of Co in Ni_3 Al sublattice for continuously varying  Co concentration and temperature.
Gainesville, Florida Area
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Lawrence Livermore National Laboratory
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Summer Intern
2015 Computational Chemistry and Materials Science Summer Institute
Livermore, California
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University of Helsinki
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Summer Intern
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Indian Institute of Science
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Summer Intern
Bengaluru Area, India
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Materials Science and Engineering
Doctor of Philosophy (Ph.D.)
University of Florida
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Materials Science and Engineering
Master of Science (M.S.)
University of Florida
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Metallurgical and Materials Engineering
Bachelor of Technology (B.Tech.)
National Institute of Technology Tiruchirappalli
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Energy Storage materials from van der Waals Heterostructures
Metal/Ceramic Interface Diffusion
Sustainable Alloy Design through Crystal Engineering
- First Principle Density Functional Theory (DFT) calculations for Ni base superalloys
- Development of Charge Optimized Many Body (COMB) potentials for Ni and Ni_3Al phases for classical MD simulations
Irradiation Induced Defects in Fusion Reactor Materials
- Classical Molecular Dynamics (MD) simulation of collision cascades for metals such as Tungsten
- Materials in the divertor region of nuclear fusion reactors subjected to extreme conditions      (www.iter.org)
- Analysis of point and defect clusters
Monte Carlo Simulation of Spinodal Decomposition
- JAVA applet for Spinodal Decomposition following Monte Carlo method
Graduate Certificate in Scientific Computing
University of Florida
https://fi.linkedin.com/in/akash-kumar-dhaka-34605018
Akash Kumar Dhaka
AI Scientist at Silo AI
Espoo
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Elsie Wang, EIT
Engineering Specialist II at STV | Master of Engineering at UC Berkeley | Industrial Engineering & Operations Research
Los Angeles, CA
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Mohit Kushwah
IIT Madras | Yale University
Maheshwar
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Saman Salike
Process Development Scientist at Just - Evotec Biologics
Seattle, WA
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Saloni Shah
Software Engineer @ Google
San Francisco, CA
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Lindsey Talbot (she/her)
Chief Investment Officer at GroupM Canada
Toronto, ON
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Sudarsan Surendralal
Computational materials modeling, software development & data science
Düsseldorf
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Hariharan Sriram
Graduate Research Associate at The Ohio State University
Columbus, OH
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Vrindaa S.
PhD candidate at Massachusetts Institute of Technology
Cambridge, MA
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Yashvi Singh
Process integration - Micron Technology Inc | Stanford University
Boise, ID
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Sameer Aman Salman
Graduate Student at RWTH Aachen University
Aachen
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Sumanta Bose
Founder and CEO at Datakrew - an NTU Singapore startup supported by Enterprise Singapore, NTUitive, R2WI, and ICE71.
Singapore
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Somya Singh
Research Scientist | PhD, Materials Science I Materials Characterization
Jersey City, NJ
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Steven Berres
Field Service Technician at GEA Process Engineering, Inc
St. Croix County, WI
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Jonathan Egbert
Scientist at Pacific Northwest National Laboratory - PNNL
Greater Kennewick Area
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Div Sharma
Director Of Marketing And Public Relations at Experiment 27: Marketing for Mobile App Development Agencies
Faridabad
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Nitesh Srivastava
Self Employed
New York, NY
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Deepika Malhotra
Scientist at Pacific Northwest National Laboratory - PNNL
Kennewick, WA
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Aravind Suresh
Assistant Professor in the Chemical Engineering Department at Manhattan College
Bronx, NY
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tushar barol
Business Associates at Appco Group
Bengaluru
AAKASH KUMAR
https://www.linkedin.com/in/aakash-kumar-ta
Account  Manager at Synchrony Systems Inc
Irving, TX
Aakash Kumar
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Business Analyst
Delhi, India
Aakash Kumar
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Trade Sales Manager at HDFC Bank
Delhi, India
Aakash Kumar
https://in.linkedin.com/in/aakashvani17
Learning MERN Stack, Data Structures, Algorithms and Soft skills
Jamalpur
Aakash Kumar
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Data Analyst at idealo internet GmbH
Berlin
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Lawrence Livermore National Laboratory Scholar Network
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Sinnott Group
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Computational Materials Science
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UF Materials Science & Engineering and Nuclear Engineering Program
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Integrated Computational Materials Engineering
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ITER Organization
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National Institute of Technology (NIT), Trichy, India - Alumni
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