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Raymundo Arróyave

indian institute of technology system (iit system)

57H-index
466Paper Count
1.1WCitation Count
Published Papers 202
Publication Date
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Superelastic interlocking metasurfaces enabled by additive manufacturing
errMaterials Today
IF22
err2026-05-01
err0
PREAI
errElsayed, Abdelrahman; Guleria, Taresh; Atli, Kadri C.; Young, Benjamin; Noell, Philip J.; Boyce, Brad L.; Elwany, Alaa; Arroyave, Raymundo; Karaman, Ibrahim
errShare
errSave
Jeweler-in-the-loop: personalized alloy color optimization via preference-based BO
errDigital Discovery
IF5.6
err2026-03-13
err0
errOAAI
errChase Katz; Ting-Yu Yang; Parker King; Md Shafiqul Islam; Brent Vela; Raymundo Arróyave
errShare
errSave
Bringing ML to the real world: Rewards are all we need
errAPL Machine Learning
IF0
err2026-03-01
err0
PREAI
errKalinin, Sergei V.; Slautin, Boris N.; Liu, Yu; Ahmadi, Mahshid; Barakati, Kamyar; Krishnan, N. M. Anoop; Ji, Heng; Cao, Charles; Arroyave, Raymundo
errShare
errSave
Predicting Interstitial Solutes in Refractory Complex Concentrated Alloys via a Combined Experimental and Computational Workflow: A Case Study on Oxygen in NbTaTiHf
errActa Materialia
IF9.3
err2026-02-12
err0
PREAI
errAomin Huang; Siya Zhu; Calvin Belcher; Ryker Rigsby; Diran Apelian; Raymundo Arróyave; Enrique J. Lavernia
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errSave
Publisher Correction: Machine learning potentials for alloys: a detailed workflow to predict phase diagrams and benchmark accuracy
errnpj Computational Materials
IF11.9
err2025-12-19
err0
errOAAI
errSiya Zhu; Doğuhan Sarıtürk; Raymundo Arróyave
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errSave
Data-driven framework for printability and geometric quality prediction in 3D concrete printing
errMaterials & Design
IF7.9
err2025-12-11
err0
errOAAI
errAhmad Hammoud; Yosef Mohomad; Hasan Shomar; Eyad Masad; Raymundo Arroyave; Reza Tafreshi
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errSave
Uncertainty-aware Process-Property Mapping in Laser Directed Energy Deposition of 316L stainless steel
errJournal of Manufacturing Processes
IF6.8
err2025-12-10
err0
PREAI
errJiahui Ye; Matthew W. Vaughan; Raul Rodriguez; Taylor G. Foster; Raymundo Arroyave; Ibrahim Karaman; Alaa Elwany
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errSave
Data-driven insights into composition-property relationships in FCC high entropy alloys
errSCRIPTA MATERIALIA
IF5.6
err2025-12-01
err0
PREAI
errFlores, Nicolas; Mula, Daniel Salas; Xu, Wenle; Bibhu, Sahu; Lewis, Daniel; Salinas, Alexandra Eve; Mitra, Samantha; Mahat, Raj; Kalidindi, Surya R.; Wilkerson, Justin; Paramore, James; Srivastiva, Ankit; Pharr, George; Allaire, Douglas; Karaman, Ibrahim; Butler, Brady; Attari, Vahid; Arroyave, Raymundo
errShare
errSave
Leveraging Domain Knowledge for Optimal Initialization in Bayesian Materials Optimization
errDigital Discovery
IF5.6
err2025-11-20
err0
errOAAI
errTrevor Hastings; James David Paramore; Brady Butler; Raymundo Arroyave
errShare
errSave
Machine learning potentials for alloys: a detailed workflow to predict phase diagrams and benchmark accuracy
errnpj Computational Materials
IF11.9
err2025-11-19
err0
errOAAI
errSiya Zhu; Doğuhan Sarítürk; Raymundo Arróyave
errShare
errSave
Construction and Tuning of CALPHAD Models Using Machine-Learned Interatomic Potentials and Experimental Data: A Case Study of the Pt-W System
errJOURNAL OF PHASE EQUILIBRIA AND DIFFUSION
IF1.7
err2025-11-01
err0
PREAI
errKunselman, Courtney; Zhu, Siya; Sariturk, Doguhan; Arroyave, Raymundo
errShare
errSave
Accurate and uncertainty-aware multi-task prediction of HEA properties using prior-guided deep Gaussian processes
errnpj Computational Materials
IF11.9
err2025-10-16
err0
errOAAI
errSk Md Ahnaf Akif Alvi; Mrinalini Mulukutla; Nicolás Flores; Danial Khatamsaz; Jan Janssen; Danny Perez; Douglas Allaire; Vahid Attari; Raymundo Arróyave
errShare
errSave
Microstructure-aware bayesian materials design
errActa Materialia
IF9.3
err2025-09-29
err0
PREAI
errDanial Khatamsaz; Vahid Attari; Raymundo Arróyave
errShare
errSave
Analytical gradient-based optimization of CALPHAD model parameters
errActa Materialia
IF9.3
err2025-08-26
err0
PREAI
errCourtney Kunselman; Brandon Bocklund; Richard Otis; Raymundo Arróyave
errShare
errSave
Decoding non-linearity and complexity: deep tabular learning approaches for materials science
errDigital Discovery
IF5.6
err2025-08-02
err0
errOAAI
errVahid Attari; Raymundo Arroyave
errShare
errSave
Mapping of microstructure transitions during rapid alloy solidification using Bayesian-guided phase-field simulations
errActa Materialia
IF9.3
err2025-07-29
err0
PREAI
errJosé Mancias; Brent Vela; Juan Flórez-Coronel; Rouhollah Tavakoli; Douglas Allaire; Raymundo Arróyave; Damien Tourret
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errSave
Physics-informed Gaussian process classification for constraint-aware alloy design
errDigital Discovery
IF5.6
err2025-07-26
err0
errOAAI
errChristofer Hardcastle; Ryan O'Mullan; Raymundo Arróyave; Brent Vela
errShare
errSave
Accelerated multi-objective alloy discovery through efficient bayesian methods: Application to the FCC high entropy alloy space
errActa Materialia
IF9.3
err2025-07-09
err0
PREAI
errTrevor Hastings; Mrinalini Mulukutla; Danial Khatamsaz; Daniel Salas; Wenle Xu; Daniel Lewis; Nicole Person; Matthew Skokan; Braden Miller; James Paramore; Brady Butler; Douglas Allaire; Vahid Attari; Ibrahim Karaman; George Pharr; Ankit Srivastava; Raymundo Arróyave
errShare
errSave
Enhanced Strain Hardening Response of Multi-Principal Element Alloys with L12 Nanodomains Designed for Multiple Objectives and Constraints
errMaterials Today Communications
IF4.5
err2025-07-01
err0
PREAI
errWenle Xu; Daniel Salas; Bibhu Sahu; Sisi Xiang; Matthew Skokan; Brady Butler; Raymundo Arroyave; Ibrahim Karaman
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errSave
Directed energy deposition of functionally graded V-4Cr-4Ti to Fe-9Cr transition for fusion power systems
errMATERIALS & DESIGN
IF7.9
err2025-06-01
err0
errOAAI
errEbeperi, D.; Graening, T.; Yang, Y.; Whitt, A.; Seede, R.; Atli, K. C.; Katoh, Y.; Arroyave, R.; Karaman, I.
errShare
errSave

Research Directions

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Co-authors
Cooperation Journals
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Hong‐Cai Zhou
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Y
Yang Ren
H-index: 132 · Papers: 1.6K
P
Peter K. Liaw
H-index: 121 · Papers: 1.5K
R
R. Stanley Williams
H-index: 117 · Papers: 1.2K
S
Sergei V. Kalinin
H-index: 109 · Papers: 1.6K
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