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researcher

Ibrahim Karaman

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3
ORCID 0000-0001-6461-4958

identity via Semantic Scholar / OpenAlex

most citedAn Interpretable Boosting-based Predictive Model for Transformation Temperatures of Shape Memory Alloys

14 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2023★ 1 cited

High-throughput Alloy and Process Design for Metal Additive Manufacturing

Sofia Sheikh, Brent Vela, Pejman Honarmandi +6

Designing alloys for additive manufacturing (AM) presents significant opportunities. Still, the chemical composition and processing conditions required for printability (ie., their…

cond-mat.mtrl-sci2023★ 1 cited

An Automated Fully-Computational Framework to Construct Printability Maps for Additively Manufactured Metal Alloys

Sofia Sheikh, Meelad Ranaiefar, Pejman Honarmandi +6

In additive manufacturing, the optimal processing conditions need to be determined to fabricate porosity-free parts. For this purpose, the design space for an arbitrary alloy needs…

cond-mat.mtrl-sci2023★ 14 cited

An Interpretable Boosting-based Predictive Model for Transformation Temperatures of Shape Memory Alloys

Sina Hossein Zadeh, Amir Behbahanian, John Broucek +7

In this study, we demonstrate how the incorporation of appropriate feature engineering together with the selection of a Machine Learning (ML) algorithm that best suits the availabl…

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