most citedExtraction of Material Properties through Multi-fidelity Deep Learning from Molecular Dynamics Simulation

45 citations · 89 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2022★ 17 cited

Understanding Mechanical Characteristics of FeNiCrCoCu HEA in Nanoscale Laser Powder Bed Fusion via Molecular Dynamics

Ishat Raihan Jamil, Ali Muhit Mustaquim, Mahmudul Islam +1

The concept of alloying multiple principal elements at high concentrations has led to the development of High Entropy Alloys (HEAs) with exceptional mechanical properties, making t…

cond-mat.mtrl-sci2022★ 15 cited

Effect of powder bed fusion process parameters on microstructural and mechanical properties of FeCrNi MEA: An atomistic study

Ishat Raihan Jamil, Ali Muhit Mustaquim, Mahmudul Islam +2

In our study, molecular dynamics (MD) simulations of laser powder bed fusion (LPBF) have been conducted on equimolar FeNiCr medium entropy alloy (MEA) powders. With the development…

physics.flu-dyn2020★ 1 cited

Mixed Convection in a Differentially Heated Cavity with Local Flow Modulation via Rotating Flat Plates

Md. Azizul Hakim, Atiqul Islam Ahad, Abrar Ul Karim +1

Mixed Convection inside a cavity resulting from thermal buoyancy force under local modulation via rotating flat plate has been investigated. The present model consists of a square…

physics.flu-dyn2020★ 11 cited

Mixed Convective Heat Transfer Enhancement in a Ventilated Cavity by Flow Modulation via Rotating Plate

Aminul Islam, Monoranjan Debnath Rony, Mahmudul Islam +2

The present study numerically explores the mixed convection phenomena in a differentially heated ventilated square cavity with active flow modulation via a rotating plate. Forced c…

physics.comp-ph2020★ 45 cited

Extraction of Material Properties through Multi-fidelity Deep Learning from Molecular Dynamics Simulation

Mahmudul Islam, Md Shajedul Hoque Thakur, Satyajit Mojumder +1

Simulation of reasonable timescales for any long physical process using molecular dynamics (MD) is a major challenge in computational physics. In this study, we have implemented an…