CV
Anuraag Sharma
Graduating: Summer 2026 (B.Eng., Microelectronics)
Focus: PhD programs in physics / materials / computational science
This CV is deliberately incomplete without the rest of the site.
- How I reason about models: /method
- Where inference broke in practice: /constraints
- Projects as failure cases, not success stories: /case-studies
- Crossing borders and topics led me: /elsewhere
Contact
Email: anuraag.sharma22 [at] student.xjtlu.edu.cn
Phone: +1 (518) 937-2183
Status: U.S. Permanent Resident
Location: Taicang, China → TBD Fall 2026
Education
Xi’an Jiaotong–Liverpool University
B.Eng., Microelectronic Science and Engineering
Expected Summer 2026 (Direct Year 2 Entry)
University of Liverpool
B.Eng. (Hons), Microelectronic Science and Engineering
(Double Degree Program)
Note: My formal training is engineering-heavy. Most physics depth came from research-driven self-study prompted by model failures rather than coursework.
Research Experience
AlN electroabsorption under bias
XJTLU — School of CHIPS
Advisor: Assoc. Prof. Jangyong Kim | 2024–present
- Studied field-dependent UV transmission in PEALD AlN thin films.
- Tested crystalline electro-optic and free-carrier mechanisms against structural and spectral constraints.
- Those mechanisms could not be supported by available data.
- Defect-mediated electroabsorption remained consistent but not uniquely identifiable.
- First project where I explicitly documented what the data could not determine.
Related: /case-studies/aln-electroabsorption
Constraints: /constraints/aln-electroabsorption
Optical transitions in doped g-C₃N₄
XJTLU — Chemistry & Materials Science
Advisor: Prof. Heechae Choi | 2024–present
- Computed dielectric response and optical transitions using DFT.
- Initially relied on single relaxed geometries; this proved insufficient.
- Transition energies and selection rules depended strongly on local configuration.
- Shifted to small-ensemble sampling after observing unstable optical conclusions.
Related: /case-studies/gcn-optical-transitions
Open issues: /constraints/gcn-optical-transitions
Industry Experience
Inverse optical metrology
KLA Corporation — Applications Engineering Intern
Summer 2025
- Built an inverse RCWA pipeline mapping broadband reflectance to trench geometry.
- Found trench depth to be reliably constrained; secondary parameters were not.
- Reduced measurement time by narrowing the admissible parameter space rather than increasing model complexity.
- Reinforced that identifiability matters more than model sophistication.
Related: /case-studies/inverse-rcwa
Limits: /constraints/inverse-rcwa
Publications
-
S. Ji, H-Y. Ahn, M. Dreger, A. Sharma, et al.
Mixing Anions in Metal Chalcogenides for Effective Band Gap Engineering with Temperature
ACS Applied Optical Materials 2(8), 1559–1565 (2024) -
A. Sharma, W. Chen, A. Kandwal, C. C. Kit, J. Kim
Electric Field-Induced Optical Effects in AlN Thin Films for Transparent Electronic Interfaces
Scientific Reports — submitted (2026)
Tools & Methods (compressed)
- Electronic structure: VASP (PBE, occasional HSE06)
- Inverse modeling: RCWA
- Computation: Slurm-based HPC clusters
- Analysis: Python (NumPy, SciPy, ASE, Pandas, Matplotlib)
- Characterization: XRD, SEM, AFM, IV–CV (primarily for exclusion, not confirmation)
Languages: English, Hindi; Chinese (HSK-4); French (intermediate)
Last updated: January 2026