Shahriar Muhammad Nahid

Data-Driven Machine Learning to Predict Mechanical Properties of Monolayer Transition-Metal Dichalcogenides for Applications in Flexible Electronics

Prottay Malakar, Md Shajedul Hoque Thakur, Shahriar Muhammad Nahid et al. · ACS Applied Nano Materials · 2022 · 37 citations

Dynamically tuning friction at the graphene interface using the field effect

Gus Greenwood, Jin Myung Kim, Shahriar Muhammad Nahid et al. · Nature Communications · 2023 · 29 citations · Full text

Effects of Layering and Supporting Substrate on Liquid Slip at the Single-Layer Graphene Interface

Gus Greenwood, Jin Myung Kim, Qianlu Zheng et al. · ACS Nano · 2021 · 28 citations

Tuning the mechanical properties of silicene nanosheet by auxiliary cracks: a molecular dynamics study

Shahriar Muhammad Nahid, Shahriar Nahian, Mohammad Motalab et al. · RSC Advances · 2018 · 27 citations · Full text

Engineering, Mechanical Engineering, Soft Matter +22

A molecular dynamics investigation for predicting the optimum fiber radius and the effect of various parameters on the mechanical properties of carbon nanotube reinforced iron composite

Raashiq Ishraaq, Shahriar Muhammad Nahid, Santosh Chhetri et al. · Computational Materials Science · 2020 · 19 citations

Materials Science, Fiber Reinforcement, Reinforcement Material +10