Saquib Ahmed

Buffalo State University — United States

Engineering · Physical Sciences

17h-index1.0kcitations54works3.12yr avg
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Research Topics

Perovskite Materials and Applications(17), Chalcogenide Semiconductor Thin Films(16), Conducting polymers and applications(8), Advanced Photocatalysis Techniques(7), ZnO doping and properties(7)

Publications54 total

Photoluminescence of CVD Grown WS <sub>2</sub> Monolayers Treated with H <sub>2</sub> SO <sub>4</sub> Vapor: Implications for Photoelectric Conversion Materials
ACS Applied Nano Materials·2026
Accelerated design of high-entropy alloys via probabilistic substitution and machine learning with first-principles validation of phase stability
Journal of Alloys and Compounds·2025
First-principles study on enhancing the electronic and electrochemical performance of CuO via Cl doping: A potential anode material for Li-ion batteries
Colloids and Surfaces A Physicochemical and Engineering Aspects·2025
Synergistic experimental and DFT insights for enhanced optoelectronic and photocatalytic performance of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0060.svg"> <mml:mrow> <mml:mi mathvariant="bold">Cu</mml:mi> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold">O</mml:mi> </mml:mrow> <mml:mrow> <mml:mn mathvariant="bold">1</mml:mn> <mml:mo>−</mml:mo> <mml:mi mathvariant="bold">x</mml:mi> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold">Cl</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="bold">x</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> NPs
Journal of Alloys and Compounds·2025· 3 cited
Experimental and first principles study on opto-structural property of hydrothermally synthesized Cu1‒Nd O NPs with enhanced photocatalytic activity
Journal of Rare Earths·2025· 3 cited
Optical image analysis of WSe2 − thresholding for layer detection
Computational Materials Science·2025· 1 cited
Magnetic Proximity-Induced Colossal Valley Splitting in WTe<sub>2</sub> for Room Temperature Valleytronics
ACS Applied Electronic Materials·2025· 4 cited
First-Principles Study on Enhancing the Electronic and Electrochemical Performance of CuO via Cl Doping: A Potential Anode Material for Li-Ion Batteries
SSRN Electronic Journal·2025Open Access
First-Principles Study on Enhancing the Electronic and Electrochemical Performance of CuO via Cl Doping: A Potential Anode Material for Li-Ion Batteries
SSRN Electronic Journal·2025Open Access
Thermodynamic and Kinetic Origins of CVDgrown WS2 Monolayer Morphologies in Relation to Experimental Parameters
SSRN Electronic Journal·2025Open Access
Synergistic Experimental and Dft Insights for Enhanced Optoelectronic and Photocatalytic Performance of [[Equation]] Nps
SSRN Electronic Journal·2025· 1 citedOpen Access
Classification of CoCr-based magnetic thin films via GLCM texture features extracted from EFTEM images and machine learning
AIP Advances·2024· 4 citedOpen Access
Versatile Recognition of Graphene Layers from Optical Images Under Controlled Illumination Through Green-Channel Correlation Method
2024Open Access
Optical image analysis for graphene layer detection: Enhanced green channel methodology
Computational Materials Science·2024· 1 citedOpen Access
Microscopic and Spectroscopic Investigation of (AlxGa1–X)2O3 Films: Unraveling the Impact of Growth Orientation and Aluminum Content
Advanced Materials Interfaces·2024· 3 citedOpen Access
A Holistic Implementation of Data Science in Clean Energy Engineering Education
2024· 1 citedOpen Access
Tuning the electrochemical performance of Cr2B2 MBene anodes for Li and Na-ion batteries through F and Cl-functionalization: A DFT and AIMD study
Colloids and Surfaces A Physicochemical and Engineering Aspects·2024· 36 cited
Experimental and First Principles Study on Opto-Structural Property of Hydrothermally Synthesized Cu1-Xndxo Nps with Enhanced Photocatalytic Activity
SSRN Electronic Journal·2024· 1 citedOpen Access
Optical Image Analysis of Wse2 - Thresholding for Layer Detection
SSRN Electronic Journal·2024Open Access
Data-driven design for enhanced efficiency of Sn-based perovskite solar cells using machine learning
APL Machine Learning·2023· 11 citedOpen Access
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Frequent Co-authors

Md Tohidul Islam(17), Sadiq Shahriyar Nishat(17), Kazi Md. Shorowordi(16), Md. Rafsun Jani(12), Ahsiur Rahman Nirjhar(10), Shaestagir Chowdhury(9), Sankha Banerjee(9), Miah Abdullah Sahriar(9), Abrar Rauf(8), Saugata Sarker(7), Joaquin Carbonara(7), Sadika Jannath Tan-Ema(7), Mohd. Rakibul Hasan Abed(7), Ahammad Ullah(7), Hasan Al Jame(6), Sumaiyatul Ahsan(6), Md. Shafiqul Islam(6), Md. Nazmul Ahsan Dipon(5), Abdul Hamid Rumman(4), Sadia Rafiq(4)