Altynbek Murat
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AltynbekMurat

Quantum Computational Physics · AI · Supercomputing

Harnessing computational quantum physics and machine learning to accelerate the discovery of next-generation materials — from electron transport in nanoscale devices to grain boundaries in polycrystalline alloys, bridging first-principles theory with modern AI-driven materials informatics.

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10+
Publications
14+
Years Research
5+
Institutions
25+
Conferences
7+
Awards
Dr. Altynbek Murat
About

Dr. Altynbek Murat is a quantum computational materials scientist, AI researcher, and entrepreneurship enthusiast. His main research interests are first-principles materials modeling and informatics of AI-driven materials discovery. At Boston University he works as a Researcher in the the Department of Electrical & Computer Engineering primarily on the DARPA's WIRED program. His previous work at KAUST spanned perovskite solar cells, 2D materials, and carbon nanotube gas sensors — in collaboration with the Computational Spintronics group at TCD. He earned his Ph.D. from Missouri S&T with a dissertation on complex oxides as novel transparent conductors , and holds an M.S. in Engineering Management with emphasis on technological innovation, financial engineering, and entrepreneurship.

AI Research Nanotech Entrepreneurship
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Areas of Expertise

🤖
Machine Learning & Materials Informatics
Applying ML, deep learning, and big-data analytics to accelerate materials property prediction and discovery from large first-principles datasets.
🧠
Artificial Intelligence
Pioneering the materials discovery — from generative AI for novel material design to agentic AI workflows for materials at the intersection of GenAI and DeepTech.
⚛️
First-Principles Materials Simulations
Density functional theory (DFT) combined with non-equilibrium Green's function (NEGF) methods for quantum electron transport at nanoscale.
🖥️
High-performance Supercomputing
Massively parallel large-scale simulations on Cray XC40 Shaheen II and XSEDE systems. GPU-accelerated and cloud-based (AWS, Azure) scientific workflows.
☀️
Functional Nanomaterials & Solar Cells
Hybrid perovskite solar cells, novel 2D materials, and multicomponent TCOs. Quantum dot nanoparticles, and functionalized CNT gas sensors.
🚀
Entrepreneurship & Engineering Management
Passionate about translating deep-tech research into startup ventures — bridging computational materials science with entrepreneurship.
🧠

Research Projects

AIArtificial Intelligence & Materials Informatics
Building AI models and informatics pipelines to predict materials properties from first-principles datasets. Integrating generative AI, agentic workflows, and Large Language Models (LLMs) with computational materials science databases for autonomous high-throughput screening and structure–property relationship discovery.
AI Materials Discovery
DeepTechGrain Boundaries in Polycrystalline InAs — DARPA WIRED
Polycrystalline InAs materials are promising candidates for low-cost wafer-scale infrared detector applications. Grain boundaries (GBs) have a profound effect on electronic properties and device efficiency. We employ first-principles DFT to investigate the electronic, structural, and transport properties of GBs — studying energetics and passivation mechanisms to establish relative stability and experimental feasibility at Boston University, funded by DARPA WIRED.
InAs Grain Boundaries
2D2D Materials, Borophene & Quantum Transport
Electronic and quantum transport properties of 2D heterostructures investigated using first-principles DFT + NEGF for chemical and biological sensing. Borophene adsorption of NH₃, NO, NO₂, and CO demonstrates exceptional nanoscale gas sensor performance. Tunable molecular diodes studied using NEGF-based quantum transport simulations at KAUST.
2D Heterostructures
CNTCarbon Nanotube Gas Sensors & Realistic Conditions
CNTs functionalized with AuCl₃/AuCl₄ show p-type doping and strong sensitivity as gas sensors. We simulate I-V characteristics of large sensors using DFT + NEGF — uncovering the microscopic origin of p-type character and the mechanism of H₂O-induced conductance changes. Collaboration with the Computational Spintronics group at Trinity College Dublin.
CNT Gas Sensors
PHybrid Organic-Inorganic Perovskite Solar Cells
Perovskite solar cells have emerged as next-generation photovoltaic technology with efficiencies exceeding 15%. We perform first-principles calculations on new derivatives of MAPbI₃ where the MA cation or Pb is replaced — targeting bandgaps closer to optimal for enhanced spectral absorption, and investigating lead-free formamidinium-based perovskites for improved stability.
A. Murat, U. Schwingenschlögl — Lead-free formamidinium hybrid perovskites · APS March Meeting, San Antonio, TX, 2015
Perovskite Solar Cells
TCOComplex Transparent Conducting Oxides (InGaZnO₄)
TCOs exhibit high optical transparency and controllable conductivity — used in flat panel displays, photovoltaic cells, and transparent electronics. We systematically calculate formation energies and transition levels of point defects in InGaZnO₄ to propose a carrier generation mechanism explaining the observed conductivity behavior. Ph.D. dissertation research at Missouri S&T.
Transparent Conductors
Quantum Physics - Artificial Intelligence
Pioneering the use of ML/AI in computational materials science — accelerating discovery of nextgen materials
Quantum · Computing Machine Learning
🎓

Education

Missouri University of Science & Technology
Ph.D. — Computational Quantum Physics
Dissertation: Complex Oxides as Novel Transparent Conductors
Missouri University of Science & Technology
M.S. — Engineering Management
Emphasis: Global project management, financial engineering & entrepreneurship
United Arab Emirates University
B.S. — Computational Physics
UAE President's Gold Medal Award — top graduating student
Research Interests
  • Materials Informatics & Big Data Analytics for Materials Research
  • AI, Gen AI, Agentic AI & LLMs for materials discovery
  • 2D materials and heterostructures for energy applications and devices
  • Hybrid organic-inorganic perovskite solar cells
  • Quantum electron transport in nanoscale sensors and devices
  • Density functional theory, molecular dynamics, non-equilibrium Green's function method
  • Defects and defect complexes in multicomponent transparent conducting oxides
  • HPC, high-throughput computing, scientific programming and data analysis
  • Technological innovations, project management, entrepreneurship
💻

Research Experience

Boston University
Department of Electrical & Computer Engineering, Photonics Center
Researcher
  • DARPA – Wafer Scale Infrared Detectors (WIRED) project
  • Grain Boundaries in Polycrystalline Alloys using first-principles DFT
  • Machine Learning & Materials Informatics in Materials Science
King Abdullah University of Science and Technology (KAUST)
Physical Science and Engineering Division, Department of Materials Science & Engineering
Postdoctoral Researcher
  • Quantum electron transport in nanoscale sensors and devices
  • Hybrid organic-inorganic perovskite solar cells
  • Novel two-dimensional materials for energy applications and devices
  • Transport properties of tunable molecular diodes and junctions
  • High-performance computing, data analysis
KAUST — CPMS Group
Systems Administrator
  • Support group with utilization of Supercomputers (Blue Gene & Cray XC40) and Linux Clusters
  • Systems administration of high-end Linux workstations for research computing
  • Assist compilation and installation of scientific codes on workstations and supercomputers
  • Manage and ensure routine storage, backup, and restoration of research data
  • Oversee and manage group computing assets and administer group website
Missouri University of Science and Technology, Physics Department
Graduate Researcher
  • Novel transparent conductors for practical energy applications and technologies
  • Structural, electronic, and optical properties of complex multicomponent oxides (InGaZnO₄)
  • Extrinsic and native defects in complex transparent conducting oxides
  • State-of-the-art ab-initio computational methods based on density functional theory
  • Simulations on massively parallel XSEDE supercomputers
Missouri University of Science and Technology, Department of Engineering Management
Graduate Student — Engineering Management
  • Project management plans, complex case studies, global project management
  • Financial engineering, theory and practice of investment, financial markets, investment banking
  • Researched Fortune 500 companies, managing technological innovations, new ventures
United Arab Emirates University, Physics Department
Undergraduate Research Assistant
  • Electronic properties of strained ZnS/CdS superlattices
  • Dynamic phases of low-temperature driven vortex matter in superconductors
  • Tight-binding method, Molecular dynamics simulations
💻

Technical Skills

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Programming

Python, SQL, JavaScript, Bash/Shell, Git, GitHub, REST APIs, FastAPI, data structures, object-oriented programming

🕸
Data Science & Analytics

NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn, Plotly, A/B testing

🧠
Machine Learning & Deep Learning

Supervised and unsupervised learning, regression, classification, neural networks, PyTorch, TensorFlow, Keras, XGBoost, LightGBM

🤖
Gen AI & AI Agents

LLLMs, fine-tuning, RAG, LangChain, LlamaIndex, Hugging Face, APIs, Agentic workflows, Claude, OpenClaw, Hermesm AI assistants, guardrails

☁️
Cloud, MLOps & Deployment

AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, MLflow, CI/CD, FastAPI, Streamlit

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Databases

PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake, Databricks, Apache Spark, Airflow, Kafka, Pinecone

Computational Methods Supercomputers
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First-principles calculations based on density functional theory (DFT) have become one of the most powerful approaches for modeling and predicting properties of novel materials. The wide applicability and predictive power of DFT — alongside non-equilibrium Green's function methods for quantum transport and classical molecular dynamics for large atomistic systems — forms the methodological foundation for all research projects. Combined with modern AI and machine learning, these methods enable accelerated discovery at unprecedented scale.

Research Methods
⚛️
Density Functional Theory (DFT)
Primary method for electronic structure — LDA, GGA, hybrid functionals (HSE06), GW quasiparticle corrections. Band structures, density of states, optical properties, defect formation energies.
Non-Equilibrium Green's Function (NEGF)
Combined with DFT for quantum electron transport in nanoscale devices, molecular junctions, and functionalized CNT sensors. Current-voltage (I-V) characteristics and conductance simulations.
🔮
Molecular Dynamics (MD)
Classical and ab-initio MD for large atomistic systems — structural optimization, thermal properties, phase transitions, and dynamic simulations.
Ab-Initio Methods & Codes
  • FLAPW — Full-Potential Linearized Augmented Plane Wave.
  • VASP — Vienna Ab initio Simulation Package
  • LMTO — Linear Muffin-Tin Orbital method
  • Dmol3 — Density functional theory code
  • Quantum ESPRESSO — Open-source DFT suite
  • SIESTA — Linear-scaling DFT with localized basis sets
  • Smeagol — DFT + NEGF transport code (TCD)
  • LAMMPS — Large-scale Molecular Dynamics
  • NAMD — Nanoscale Molecular Dynamics

Scientific Tools

Density Functional Theory (DFT) 98%
VASP / Quantum ESPRESSO / SIESTA 95%
NEGF Quantum Transport 92%
High-Performance Computing 93%
Python & Scientific Stack 88%
Machine Learning / AI 92%
High-Performance Supercomputers
KAUST
Cray XC40 Supercomputer
  • Performance7.2 PFLOPS theoretical · 5.5 PFLOPS sustained
  • Cores197,568 Intel Haswell processor cores
  • Memory790 TB total · 17 PB parallel file system
  • NetworkDragonfly interconnect · 36 cabinets
XSEDE · USA
Extreme Science and Engineering Discovery Environment
  • Lonestar302 TFLOPS · 22,656 cores · TACC, UT Austin
  • Ranger579 TFLOPS · 62,976 cores · TACC, UT Austin
  • Kraken112,896 cores · Cray XT5 · NICS, U. Tennessee
Scientific Applications
MATLAB Mathematica MathCad COMSOL Multiphysics Materials Studio MedeA OriginPro
Programming
Python Fortran Shell / Bash Git LaTeX Java
Visualization & Analysis
VESTA CrystalMaker Xmgrace Avogadro Xcrysden JMOL Matplotlib VMD GDIS
Teaching Experience 4+ positions
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King Abdullah University of Science & Technology (KAUST)
PSE Division, MSE Department
Teaching Assistant — Advanced Topics in Materials Science
King Abdullah University of Science & Technology (KAUST)
PSE Division
VASP Training Course Instructor
Missouri University of Science and Technology, Physics Department
Graduate Teaching Assistant
United Arab Emirates University
Tutor
Awards & Grants 7+ items
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Highly Competitive Participation GrantMaterials for Energy Applications: Experiment, Modeling and Simulations Conference · Los Angeles, CA (2011)
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Competitive Travel Grant15th International Workshop on Computational Physics and Materials Science: Total Energy and Force Methods · Trieste, Italy (2011)
🎖️
Schearer Prize for Graduate ResearchMissouri S&T, Department of Physics (2008)
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Graduate Research Poster AwardMissouri S&T, Department of Physics (2008)
🥇
UAE President's Gold Medal AwardUAE University (2007) — top graduating student
Outstanding Academic Performance AwardUAE University (2003–2005)
🏅
Mongolian President's Scholarship AwardUAE University (2002–2007) — highly competitive national scholarship
Peer-Reviewed Publications 10+ papers
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Altynbek Murat, Masahiko Matsubara, Binh-Minh Nguyen, and Enrico Bellotti
Electronic Properties of Low-Σ Grain Boundaries in InAs
Physical Review Materials, 2, 123604 · 2018
Chieh-Szu Huang, Altynbek Murat, Vasudeo Babar, Enrique Montes, and Udo Schwingenschlögl
Adsorption of the Gas Molecules NH₃, NO, NO₂, and CO on Borophene
J. Phys. Chem. C. 122, 26, 14665 · 2018
Joshua Obodo, Altynbek Murat, and Udo Schwingenschlögl
Quantum Transport Through Tunable Molecular Diodes
Scientific Reports 7, 7324 · 2017
Altynbek Murat, Ivan Rungger, Stefano Sanvito, and Udo Schwingenschlögl
Mechanism of H₂O Induced Conductance Changes in AuCl₄ Functionalized CNTs
The Journal of Physical Chemistry C 119, 9568–9573 · 2015
Altynbek Murat, Ivan Rungger, Chengjun Jin, Stefano Sanvito, and Udo Schwingenschlögl
Origin of the p-Type Character of AuCl₃ Functionalized Carbon Nanotubes
The Journal of Physical Chemistry C 118, 3319–3323 · 2014
Altynbek Murat and Julia E. Medvedeva
Native Point Defects in Multicomponent Transparent Conducting Oxides
MRS Proc, 1633, 37–42 · 2014
Altynbek Murat, Alexander U. Adler, Thomas O. Mason, and Julia E. Medvedeva
Carrier Generation in Multicomponent Wide-Bandgap Oxides: InGaZnO₄
J. Am. Chem. Soc. 135, 5685–5692 · 2013
Altynbek Murat and Julia E. Medvedeva
Composition-Dependent Oxygen Vacancy Formation in Multicomponent Wide-Band-Gap Oxides
Physical Review B, 86, 085123 · 2012
Altynbek Murat and Julia E. Medvedeva
Electronic Properties of Layered Multicomponent Wide-Band-Gap Oxides: A Combinatorial Approach
Physical Review B, 85, 155101 · 2012
Nacir Tit and Altynbek Murat
Strain-Induced Band-Mixing Effects in ZnS/CdS (001) Superlattices
International Journal of Modern Physics B., 22 1997–2008 · 2008
Conference Presentations & Posters 24+ presentations
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Altynbek Murat, Masahiko Matsubara, and Enrico Bellotti
First-principles Investigation of Grain Boundaries in InAs
MRS Fall Meeting 2017 · Boston, MA, USA (Nov 29, 2017)
Altynbek Murat, Masahiko Matsubara, Binh-Minh Nguyen, and Enrico Bellotti
Modeling of Grain Boundaries in InAs
The II-VI Workshop · Chicago, IL, USA (Nov 1, 2017)
Altynbek Murat and Udo Schwingenschlögl
The Effect of Water on the Conductivity of Gas Sensors
KAUST-NSF International Conference · KAUST, KSA (March 16, 2016)
Altynbek Murat, Ivan Rungger, Stefano Sanvito, and Udo Schwingenschlögl
Mechanism of H₂O induced conductance changes in AuCl₄ functionalized CNTs
Psi-k 2015 Conference · San Sebastian, Spain (September 6–10, 2015)
Altynbek Murat, Ivan Rungger, Stefano Sanvito, and Udo Schwingenschlögl
Mechanism of H₂O induced conductance changes in AuCl₄ functionalized CNTs
APS March Meeting · San Antonio, TX, USA (March 2–6, 2015)
Altynbek Murat and Udo Schwingenschlögl
First-principles investigations of lead-free formamidinium based hybrid perovskites
APS March Meeting · San Antonio, TX, USA (March 2–6, 2015)
Altynbek Murat, Ivan Rungger, Stefano Sanvito, and Udo Schwingenschlögl
AuCl₄ functionalized carbon nanotubes: origin of the p-type doping
APS March Meeting · San Antonio, TX, USA (March 2–6, 2015)
Tobechukwu Joshua, Altynbek Murat, and Udo Schwingenschlögl
A single diblock molecular diode
APS March Meeting · San Antonio, TX, USA (March 2–6, 2015)
Altynbek Murat and Udo Schwingenschlögl
Mechanism of H₂O adsorption on the conductance of functionalized CNTs
Applied Functional Materials Chemistry Conference · KAUST, KSA (October 27, 2014)
Altynbek Murat (Invited Talk)
Carrier Generation in Complex Transparent Conductors: First-Principles Investigations
International Workshop on Nanomaterials and Advanced Energy Storage Systems · Nazarbayev University, Astana, KZ (Sept 9, 2014)
Altynbek Murat and Udo Schwingenschlögl
First-principles investigations of nanoscale sensors based on functionalized carbon nanotubes
4th Annual KICP Research Symposium · KAUST, KSA (April 29, 2014)
Altynbek Murat, I. Rungger, S. Sanvito, and U. Schwingenschlögl
Transport calculations for functionalized carbon nanotubes
MRS Spring Meeting · San Francisco, CA, USA (April 24, 2014)
Altynbek Murat, I. Rungger, S. Sanvito, and U. Schwingenschlögl
Origin of the p-type character of AuCl₃ functionalized CNTs
MRS Spring Meeting · San Francisco, CA, USA (April 22, 2014)
Altynbek Murat, and Udo Schwingenschlögl
Functionalized carbon nanotubes: Origin of p-type doping
KAUST-Sydney Conference · KAUST, KSA (April 12, 2014)
Altynbek Murat, and Udo Schwingenschlögl
P-type conductivity of AuCl₃ functionalized CNTs
KAUST-NSF Conference on Electronic Materials, Devices and Systems · KAUST, KSA (Feb 8–10, 2014)
Julia E. Medvedeva and Altynbek Murat
Carrier Generation and Stability of Multicomponent Wide-Bandgap Oxides
MRS Fall Meeting · Boston, MA, USA (2013)
Altynbek Murat (Invited Talk)
Complex oxides as novel transparent conductors
UAE University · Al-Ain, Abu Dhabi, UAE (Feb 21, 2013)
Altynbek Murat and Julia E. Medvedeva
Investigation of defects in complex transparent conducting oxides
Missouri S&T · Rolla, MO, USA (2012)
Altynbek Murat and Julia E. Medvedeva
First-principles investigations of transparent conducting oxides with tunable properties
Materials for Energy Applications · Los Angeles, CA, USA (2011)
Altynbek Murat and Julia E. Medvedeva
Ab-initio investigations of complex oxides
APS March Meeting · Dallas, TX, USA (2011)
Altynbek Murat and Julia E. Medvedeva
Systematic first-principles investigations of multicomponent main group metal oxides
MRS Fall Meeting · Boston, MA, USA (2010)
Altynbek Murat and Julia E. Medvedeva
Ab-initio study on structural, optical, and electronic properties of fluorine doped oxides
Missouri S&T · Rolla, MO, USA (2008)
Languages 6+
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Workshops & Trainings 21 items
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  1. KSL Workshop Towards High Efficiency Computing with AllineaKAUST, KSA · October 4, 2015
  2. XSEDE HPC Workshop: MPIRemotely Hosted · September 3-4, 2015
  3. Shaheen II Cray XC40 High Performance Supercomputing WorkshopKAUST, KSA · June 7-11, 2015
  4. Intel High Performance Computing WorkshopKAUST, KSA · March 24, 2015
  5. Workshop on Functional Nanomaterials: Design, Synthesis and Applications (Nano 2015)KAUST, KSA · March 15-17, 2015
  6. The Vienna Ab initio Simulation Package (VASP) & MEDEA WorkshopKAUST, KSA · March 11-12, 2015
  7. Workshop on Functional MaterialsKAUST, KSA · March 4-5, 2015
  8. International Workshop on Spin-Orbit Torque 2015KAUST, KSA · February 26-28, 2015
  9. Second KAUST-NVIDIA Workshop on Accelerating Scientific Applications Using GPUsKAUST, KSA · February 17, 2015
  10. KAUST-NSF Research Conference on Electronic Materials, Devices and Systems for A Sustainable FutureKAUST, KSA · February 14-16, 2015
  11. KAUST Solar Future 2014 MeetingKAUST, KSA · November 7-11, 2014
  12. Introduction to Maya 3D Software WorkshopVisualization Core Lab, KAUST, KSA · March 18-20, 2014
  13. International Colloquium on Flexible Electronics and PhotovoltaicsKAUST, KSA · November 3-5, 2013
  14. 1st International Workshop on Spin-Orbit Induced TorqueKAUST, KSA · February 24-27, 2013
  15. Winter Enrichment ProgramKAUST, Thuwal, KSA · January 12-30, 2013
  16. Saudi Arabian High Performance Computing User’s Group ConferenceKAUST, KSA · December 1-3, 2013
  17. 15th International Workshop on Computational Physics and Materials Science: Total Energy and Force MethodsTrieste, Italy · 2011
  18. Student Leadership ConferenceRolla, MO, USA · 2008
  19. UM-System Research ConferenceMissouri S&T, Rolla, MO, USA · 2008
  20. First International Biological and Medical Physics ConferenceAl-Ain, UAE · 2005
  21. NASA-ESA International Heliophysical Year ConferenceAbu Dhabi, UAE · 2005
Coursework 3 degrees
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Some of the courses taken in my Ph.D. in Physics: (Total 107 hours)
  • Condensed Matter Physics (Phys 481)
  • Transport in Nanostructures (Phys 301)
  • Mathematical Physics I (Math 402)
  • Classical Mechanics I (Phys 409)
  • Electrodynamics I (Phys 411)
  • Electrodynamics II (Phys 423)
  • Quantum Mechanics I (Phys 461)
  • Quantum Mechanics II (Phys 463)
  • Statistical Mechanics (Phys 413)
Some of the courses taken in my Master’s degree in Engineering Management: (Total 30 hours)
  • Technology Innovation Management (Emgt 420)
  • Global Project Management (Emgt 461)
  • Investment (Emgt 480)
  • Operations Management Science (Emgt 365)
  • Project Management (Emgt 361)
  • Economic Decision Analysis (Emgt 308)
  • Management for Engineers & Scientists (Emgt 314)
  • Financial Decision Analysis (Emgt 352)
Some of the courses taken in my Bachelor’s degree in Physics: (Total 132 hours)
  • Thinking Skills
  • Programming
  • Classical Mechanics
  • Electromagnetic Theory
  • Thermal Physics
  • Mathematical Physics
  • Solid State Physics
  • Quantum Mechanics
  • Atomic & Molecular Physics
  • Advanced Chemistry
  • Radiation Physics
  • Statistical Physics
  • Nuclear Physics
  • Modeling of Physical Systems
  • Laser Physics
  • Modern Physics I & II
Posts 9+ posts
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VASP Workshop
Advanced VASP workshop at KAUST with Dr. Martijn Marsman — hybrid functionals, GW, BSE, and ACFDT (RPA) methods. May 2016.
🐙
Git and GitHub
Version control for computational scientists — repositories, branches, and collaborative workflows for research code. Apr 2016.
🐍
Learning Python: A Short Guide
Resources and IDEs for researchers — NumPy, SciPy, Matplotlib, and scientific computing. Jan 2016.
Solar Future 2015
KAUST's solar energy symposium — perovskite stability, charge carrier diffusion, and the future of hybrid tandem solar cells. Nov 2015.
Ψk-2015 Conference
Global electronic structure conference in San Sebastian — ML in materials modeling, novel 2D materials, quantum transport. Sep 2015.
The Materials Project
DFT-computed properties for 60,000+ inorganic materials. Pymatgen, FireWorks, and high-throughput workflows. Sep 2015.
Shaheen II Supercomputer
KAUST's new Cray XC40 — 7.2 PFLOPS, 197,568 cores, 17 PB storage — 25× Shaheen I capability. Jun 2015.
Transferable Skills
Analysis, leadership, project management, and communication skills that Ph.D. researchers develop. Oct 2013.
Quantum ESPRESSO
Intensive hands-on training at ICTP Trieste — 15th International Workshop on Computational Physics and Materials Science. Jan 2011.
Let's connect!

Open to collaborations. Boston. USA