MY RESEARCH PORTFOLIO

High-Throughput DFT Screening & ML
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Research Highlights

  • Publication High-throughput screening of penta-monolayers — RSC Materials Horizons, Apr 2024
  • Current Work High-pressure phase diagrams of binary alloys at Earth-core conditions using ab initio MD and ML interatomic potentials
  • Exploring Agentic AI systems and MLOps pipelines for scientific computing

About me

PhD researcher in Theoretical and Computational Condensed Matter Physics at University College London. My work employs first-principles DFT, ab initio molecular dynamics, and machine learning to study structural, electronic, and thermomechanical properties of materials under extreme conditions — with a focus on high-pressure phase diagrams of binary alloys, low-dimensional materials, and electrides.

Experiences

UCL
PhD Scholar
University College London · Full-time
Dec 2022 – Present · 3 yrs 6 mos

First-principles DFT and ab initio molecular dynamics for high-pressure phase diagrams of binary alloys. Machine learning interatomic potentials. Scientific computing in Python and Fortran.

Python TensorFlow scikit-learnJAXSIESTAVESTAASEpymatgen MatplotlibSeaborn
KU
Research Associate
Khalifa University · Full-time · UAE
Jan 2022 – Dec 2022 · 1 yr

Computational and theoretical studies on 2D materials and surfaces for photocatalysis and nanomechanical applications. Prepared research proposals and fostered international collaborations.

VASPQuantum ESPRESSOASEpymatgen MatplotlibSeabornOriginLab
SGC
Lecturer in Physics
Shusma Godawari College · Part-time
Feb 2019 – Nov 2021 · 2 yrs 10 mos

Taught elementary-level physics courses. Co-supervised projects and graduate thesis works. Mentored students through their research endeavors.

Physics Chemistry LaTeX

Education

UCL
Doctor of Philosophy (PhD), Condensed Matter Physics
University College London, London, UK
2022 – Present

Thesis Ab initio Methods for High-Pressure Phase Diagram Calculations within the Low-Solute Limit

Advisor Prof. Dario Alfè, UCL Earth Sciences

Quantum Mechanics DFT VASP SIESTA Ab initio MD Fortran pymatgen ASE Python scikit-learn PyTorch TensorFlow pandas matplotlib Statistics
TU
Master of Science in Physics
Tribhuvan University, Kathmandu, Nepal
2020

Thesis Ab initio Calculations of Structural, Electronic and Quantum Transport Properties of 2D Gold Monolayer

Advisor Prof. Rajendra Adhikari, Kathmandu University

Quantum Mechanics DFT SIESTA Quantum Transport Fortran pymatgen ASE Python scikit-learn PyTorch TensorFlow pandas matplotlib Statistics
TU
Bachelor of Science in Physics
Tribhuvan University, Nepal
2014
Classical Mechanics Quantum Mechanics Electrodynamics Thermodynamics Statistics Mathematical Physics Python Fortran matplotlib
DS
Data Science — Self-learning
Coursera · DeepLearning.AI · Dataquest · fast.ai · Oxford
2019 – Present

Continuously self-learning Data Science through online courses and real-world projects — covering ML, deep learning, data engineering, and generative AI.

Python TensorFlow scikit-learnfast.aiJAX Jupyter

My Skills

⚛ DFT & Quantum Chemistry
VASP SIESTA Quantum Espresso CASTEP Wien2k DFT+U Hybrid Functionals
🔥 Molecular Dynamics
🔥VASP-AIMD 🔥SIESTA-AIMD 🔥LAMMPS 🔥Arc_tut 🔥NVT / NPT ensembles 🧬DeepMD-kit
🔬 Pre / Post-processing
🔬VESTA 🔬ASE 🔬GDIS 🔬WxDragon 🔬Avogadro 🔬Jmol 📊Xcrysden 📊Origin Lab 📊Gnuplot 📊Xmgrace
💻 Programming
Python MATLAB Bash / Shell 𝔽FORTRAN Mathematica SQL JavaScript Git / GitHub
🤖 Machine Learning & AI
Scikit-learn TensorFlow PyTorch Keras 🌲XGBoost 🌲Random Forest 🔷K-Means / Clustering 🔍Anomaly Detection 🎯Recommender Systems 🕹Reinforcement Learning 🧠CNN / ConvNets 🔁RNN / LSTM / GRU Transformer Architecture 👁Attention Mechanism 🔄Transfer Learning 🤗Hugging Face / BERT 🔭Physics-Informed ML 📦MLflow 🔁End-to-End ML Pipelines
🧠 Generative AI & Agents
🦜LangChain 🕸LangGraph 🔌MCP (Model Context Protocol) 📚RAG Pipelines 🗃Vector Databases 🎛PEFT / LoRA / QLoRA RLHF / DPO Prompt Engineering 🤖Agentic AI Design 🧬LLM Fine-tuning 🧠LLM & Claude API
🗜 Data Engineering
Apache Kafka AWS Kinesis 🏗AWS Redshift 🔎AWS Athena Airflow 🛠dbt 🏞Data Lake / Warehouse 🔄ETL / ELT Pipelines 🌊Stream & Batch Processing
📈 Data Analytics & Viz
Pandas NumPy Spark Matplotlib 📉Seaborn 📊Plotly 🗺Folium 📊IBM Cognos 📗Excel / Power BI 🎲Statistical Analysis
🗄 Databases
MySQL PostgreSQL MongoDB 🕸Graph DB 🔍Vector DB (Chroma · Pinecone)
☁ Cloud & DevOps
AWS 🤖AWS SageMaker 🪨AWS Bedrock Azure Terraform Docker 🔌REST API
🖥 OS & HPC
Linux (Ubuntu) Kali Linux Windows HPC Clusters SLURM / PBS
📝 Documentation & Office
LaTeX Jupyter 📓Google Colab MS Office 365 📐Visio 📊PowerPoint

Publications

189
Citations
10
h-index
18
Papers
Scholar
7 Q1
7 Q2
1 Q3
17 1st Author
15 Journal
2 Conference
1 Preprint
1 Q1Mater. Horiz. 2024 · Vol. 11, 3613–3622

Signature of low dimensional quasi-F center in zirconium rich oxide

D. Thapa, S. B. Sharma, D. Alfè, D. Kilin, S. Kilina

2 Q1J. Chem. Phys. 2025 · Vol. 162, 184104

Ab initio phase diagrams of binary alloys in the low solute limit

S. B. Sharma, D. Alfè, A. P. Bartók

3 Q2Physica E 2023 · Vol. 146, 115517

Structural deformation and mechanical response of CrS₂, CrSe₂ and Janus CrSSe

S. B. Sharma, R. Paudel, R. Adhikari, G. C. Kaphle, D. Paudyal

4 Q1Comput. Mater. Sci. 2023 · Vol. 218, 111952

First-principles DFT study of structural, electronic and optical properties of MoSSe

S. B. Sharma, I. Qattan, M. Maguy, A. Sufian

5 Q1ACS Appl. Electron. Mater. 2022 · Vol. 4, 2561–2569

Penta-SiCN: A highly auxetic monolayer

S. B. Sharma, I. Qattan, M. Jaishi, D. Paudyal

6 Q1Appl. Surf. Sci. 2022 · Vol. 593, 153239

Enhanced optoelectronic and elastic responses in fluorinated penta-BN₂

S. B. Sharma, S. KC, D. Paudyal

7 Q1Appl. Surf. Sci. 2022 · Vol. 599, 153997

Enhanced mechanical, electronic, magnetic and optical properties of 2D CrX₂

S. B. Sharma, I. Qattan

8 Q2ACS Omega 2022 · Vol. 7, 36235–36243

Large Negative Poisson's Ratio and Anisotropic Mechanics in Penta-B₂C

S. B. Sharma, I. Qattan, S. KC, A. Alsaad

9 Q2Carbon Trends 2022 · Vol. 7, 100162

Strain dependent electronic and optical responses of penta-BCN monolayer

S. B. Sharma, R. Bhatta, R. Adhikari, D. Paudyal

10 Q2Nanomaterials 2022 · Vol. 12, 4068

First-Principles Prediction of New 2D p-SiPN: A Wide Bandgap Semiconductor

S. B. Sharma, I. Qattan, S. KC, S. Abedrabbo

11 Q2Eur. Phys. J. B 2021 · Vol. 94, 128

Structural, electronic, magnetic and mechanical properties of Cr₂X₃ (X=S,Se,Te)

S. B. Sharma, R. Bhatta, K. R. Sigdel, R. Adhikari, G. C. Kaphle

12 Q2Chem. Phys. Lett. 2021

Optoelectronic and elastic response of fluorinated hexagonal boron nitride

S. B. Sharma, R. Bhatta, R. Adhikari

13 Q2Carbon Trends 2021 · 100162

Strain driven negative Poisson's ratio and extraordinary light absorption in 2D penta-CN₂

S. B. Sharma, R. Bhatta, R. Adhikari, D. Paudyal

14 Q3J. Nepal Phys. Soc. 2021 · Vol. 7, No. 1

Strain induced electronic and optical properties of 2D silicene

S. B. Sharma, R. Bhatta, R. Adhikari, G. C. Kaphle

15 Q1Chem. Eng. J. 2026

Dielectric barrier discharge plasma enhances room-temperature ferromagnetism

S. B. Sharma et al.

16 Q3J. Phys.: Conf. Ser. 2024 · Vol. 2726

New 2D penta-SiPN: A wide and indirect bandgap semiconductor

S. B. Sharma, I. Qattan, S. KC, S. Abedrabbo

17 Asia Pac. Phys. Conf. 2022 · pp. 73–79

Highly Tunable Negative Poisson's Ratio in Two-Dimensional Penta Structures

S. B. Sharma, I. Qattan, S. KC

18 ChemRxiv (preprint) 2021

Study of strain-induced structural, electronic, mechanical properties of penta-CN₂

S. B. Sharma, R. Bhatta, R. Adhikari, D. Paudyal

Contact me

Get in Touch

I am open to research collaborations, academic discussions, and opportunities in computational materials science and data-driven physics. Feel free to reach out.

Name
Shambhu Bhandari Sharma
Address
Gower St, London WC1E 6BT, United Kingdom
Email
shambhu.sharma.22@ucl.ac.uk
Phone
+44 7442 419061

Geographical Activity

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