aakash kumar
Postdoctoral Associate at Yale University
postdoctoral associate energy science institute , yale university
Yale University
https://www.linkedin.com/company/yale-university
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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Postdoctoral Associate
University of Pennsylvania
https://www.linkedin.com/company/university-of-pennsylvania
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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Postdoctoral Researcher
City University of Hong Kong
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Hong Kong
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Visiting Fellow
Penn State University
https://www.linkedin.com/company/penn-state-university
State College, Pennsylvania Area
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Visiting Scholar
University of Florida
https://www.linkedin.com/company/uflorida
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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Graduate Assistant
Lawrence Livermore National Laboratory
https://www.linkedin.com/company/lawrence-livermore-national-laboratory
2015 Computational Chemistry and Materials Science Summer Institute
Livermore, California
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Summer Intern
University of Helsinki
https://www.linkedin.com/company/university-of-helsinki
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Summer Intern
Indian Institute of Science
https://www.linkedin.com/company/indian-institute-of-science
Bengaluru Area, India
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Summer Intern
Doctor of Philosophy (Ph.D.)
Materials Science and Engineering
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University of Florida
https://www.linkedin.com/school/uflorida/
Master of Science (M.S.)
Materials Science and Engineering
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University of Florida
https://www.linkedin.com/school/uflorida/
Bachelor of Technology (B.Tech.)
Metallurgical and Materials Engineering
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National Institute of Technology Tiruchirappalli
https://www.linkedin.com/school/nittrichy/
Energy Storage materials from van der Waals Heterostructures
Metal/Ceramic Interface Diffusion
- 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
Sustainable Alloy Design through Crystal Engineering
- 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
Irradiation Induced Defects in Fusion Reactor Materials
- JAVA applet for Spinodal Decomposition following Monte Carlo method
Monte Carlo Simulation of Spinodal Decomposition
University of Florida
Graduate Certificate in Scientific Computing
https://fi.linkedin.com/in/akash-kumar-dhaka-34605018
Espoo
Akash Kumar Dhaka
AI Scientist at Silo AI
https://www.linkedin.com/in/elsie-w
Los Angeles, CA
Elsie Wang, EIT
Engineering Specialist II at STV | Master of Engineering at UC Berkeley | Industrial Engineering & Operations Research
https://in.linkedin.com/in/mohit-kushwah-30b7ba173
Maheshwar
Mohit Kushwah
IIT Madras | Yale University
https://www.linkedin.com/in/saman-salike-b9b090113
Seattle, WA
Saman Salike
Process Development Scientist at Just - Evotec Biologics
https://www.linkedin.com/in/saloni-shah-ai
San Francisco, CA
Saloni Shah
Software Engineer @ Google
https://ca.linkedin.com/in/lindsey-talbot-she-her-9678242a
Toronto, ON
Lindsey Talbot (she/her)
Chief Investment Officer at GroupM Canada
https://de.linkedin.com/in/sudarsan-surendralal
Düsseldorf
Sudarsan Surendralal
Computational materials modeling, software development & data science
https://www.linkedin.com/in/hariharan-sriram-434552b0
Columbus, OH
Hariharan Sriram
Graduate Research Associate at The Ohio State University
https://www.linkedin.com/in/vrindaa-s-34646185
Cambridge, MA
Vrindaa S.
PhD candidate at Massachusetts Institute of Technology
https://www.linkedin.com/in/yashvi-singh
Boise, ID
Yashvi Singh
Process integration - Micron Technology Inc | Stanford University
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Aachen
Sameer Aman Salman
Graduate Student at RWTH Aachen University
https://sg.linkedin.com/in/sumanta-bose
Singapore
Sumanta Bose
Founder and CEO at Datakrew - an NTU Singapore startup supported by Enterprise Singapore, NTUitive, R2WI, and ICE71.
https://www.linkedin.com/in/somya-singh-88315b133
Jersey City, NJ
Somya Singh
Research Scientist | PhD, Materials Science I Materials Characterization
https://www.linkedin.com/in/steven-berres-60067655
St. Croix County, WI
Steven Berres
Field Service Technician at GEA Process Engineering, Inc
https://www.linkedin.com/in/jonathan-egbert-67a735b1
Greater Kennewick Area
Jonathan Egbert
Scientist at Pacific Northwest National Laboratory - PNNL
https://in.linkedin.com/in/divij-sharma-04061994
Faridabad
Div Sharma
Director Of Marketing And Public Relations at Experiment 27: Marketing for Mobile App Development Agencies
https://www.linkedin.com/in/nitesh-srivastava-6425b913
New York, NY
Nitesh Srivastava
Self Employed
https://www.linkedin.com/in/deepika-malhotra-9b522736
Kennewick, WA
Deepika Malhotra
Scientist at Pacific Northwest National Laboratory - PNNL
https://www.linkedin.com/in/aravind-suresh-12525230
Bronx, NY
Aravind Suresh
Assistant Professor in the Chemical Engineering Department at Manhattan College
https://in.linkedin.com/in/tushar-barol-1b1864a1
Bengaluru
tushar barol
Business Associates at Appco Group
https://www.linkedin.com/in/aakash-kumar-ta
Irving, TX
AAKASH KUMAR
Account  Manager at Synchrony Systems Inc
https://in.linkedin.com/in/aakash-kumar-aa10364b
Delhi, India
Aakash Kumar
Business Analyst
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Delhi, India
Aakash Kumar
Trade Sales Manager at HDFC Bank
https://in.linkedin.com/in/aakashvani17
Jamalpur
Aakash Kumar
Learning MERN Stack, Data Structures, Algorithms and Soft skills
https://de.linkedin.com/in/aakashksinghla
Berlin
Aakash Kumar
Data Analyst at idealo internet GmbH
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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