Expertise in predictive modeling of dynamic systems, first principle DFT study and MD Simulations/FEM Simulations, materials-data infrastructures >> unlocking P-S-P linkages in materials system and hence, accelerate materials discovery. Some favourite materials-systems: Functional materials, Quantum materials, Magnetic materials, Super alloys & High Entropy alloys. I find myself enthusiastic on Quantum mechanics -- our best chance to understand the universe.
Outside the Lab :::: creative problem-solving and collaborative teamwork through regular engagement in guitar practice and team sports (Football, Badminton).
- Kiel, Germany
-
18:37
(UTC -12:00) - https://submerged-in-matrix.github.io/
- in/shahriar-sayeed
- https://patterns-matter.fly.dev/
Highlights
- Pro
Pinned Loading
-
fe-cr_cu-ni_DFT
fe-cr_cu-ni_DFT PublicDFT → ML surrogate → FEM nanoindentation pipeline for studying Elastic constants of Binary Alloys (Fe-Cr). This pipeline also analyses the system thermodynamically with pycalphad. Current extensio…
-
ema-gnn
ema-gnn PublicUses GNN for MP curated formation energy & structure datas and predict stabiity of new crystals
Jupyter Notebook
-
PINN_2D_Elasticity
PINN_2D_Elasticity PublicPrediction study of linear-eleasticity (2-D) in Steel thorough physics informed neural network.
Python
-
Oxidation_State_MOF
Oxidation_State_MOF PublicA reproduced & extended soft voting multiclass , multilevel custom-tuned ensemble to assign oxidation states in MOF.
Python
-
KG_BG_Semiconductors
KG_BG_Semiconductors PublicA Neuro-symbolic pipeline (LLM +Knowledge graph (KG) integration) for Bandgap of Semiconductor materials
Python
-
Masterarbeit
Masterarbeit PublicMathematical modeling of source-nonlinearity in Electro-Magnetic Sensors.
Python 2
If the problem persists, check the GitHub status page or contact support.

