What is he best known for?
The fields of study he is best known for:
- Thermodynamics
- Artificial intelligence
- Alloy
His main research concerns Thermodynamics, CALPHAD, Phase diagram, Crystallography and Intermetallic.
His studies in Thermodynamics integrate themes in fields like Supercell, Density functional theory and Ternary numeral system.
The concepts of his CALPHAD study are interwoven with issues in Degrees of freedom and Physical chemistry.
His work focuses on many connections between Phase diagram and other disciplines, such as Gibbs free energy, that overlap with his field of interest in Liquidus, Solid solution, Zirconium and Cubic zirconia.
His Martensite, Austenite and Trigonal crystal system study in the realm of Crystallography connects with subjects such as Boron.
His Intermetallic research incorporates elements of Standard enthalpy of formation, Surface finish, Soldering and Nucleation.
His most cited work include:
- Ab initio lattice stability in comparison with CALPHAD lattice stability (292 citations)
- First-Principles Calculation of Self-Diffusion Coefficients (174 citations)
- TEM study of structural and microstructural characteristics of a precipitate phase in Ni-rich Ni–Ti–Hf and Ni–Ti–Zr shape memory alloys (107 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Thermodynamics, CALPHAD, Work, Condensed matter physics and Density functional theory.
His research integrates issues of Shape-memory alloy, Solid solution, Phase diagram and Intermetallic in his study of Thermodynamics.
He has included themes like Martensite and Austenite in his Shape-memory alloy study.
His Work study incorporates themes from Alloy and Statistical physics.
His research in Condensed matter physics focuses on subjects like Diffusionless transformation, which are connected to Annealing.
His work deals with themes such as MAX phases and Ab initio quantum chemistry methods, which intersect with Density functional theory.
He most often published in these fields:
- Thermodynamics (32.28%)
- CALPHAD (15.35%)
- Work (14.96%)
What were the highlights of his more recent work (between 2018-2021)?
- Thermodynamics (32.28%)
- Composite material (8.27%)
- Work (14.96%)
In recent papers he was focusing on the following fields of study:
Raymundo Arroyave mostly deals with Thermodynamics, Composite material, Work, Shape-memory alloy and Alloy.
His Thermodynamics research incorporates themes from Kinetics, Chemical reaction engineering and Cluster.
His study on Microstructure, Soldering, Intermetallic and Deformation is often connected to Scientific method as part of broader study in Composite material.
He focuses mostly in the field of Deformation, narrowing it down to matters related to Pseudoelasticity and, in some cases, CALPHAD.
His research investigates the connection between Work and topics such as Precipitation that intersect with problems in Condensed matter physics and Grain boundary.
Raymundo Arroyave combines subjects such as Thermal, Material properties, Constitutive equation and Diffusionless transformation, Martensite with his study of Shape-memory alloy.
Between 2018 and 2021, his most popular works were:
- Assessing Printability Maps in Additive Manufacturing of Metal Alloys (39 citations)
- Numerical and experimental analysis of heat distribution in the laser powder bed fusion of Ti-6Al-4V (30 citations)
- An ultra-high strength martensitic steel fabricated using selective laser melting additive manufacturing: Densification, microstructure, and mechanical properties (26 citations)
In his most recent research, the most cited papers focused on:
- Thermodynamics
- Artificial intelligence
- Alloy
His primary areas of investigation include Thermodynamics, Uncertainty quantification, Microstructure, CALPHAD and Alloy.
In the subject of general Thermodynamics, his work in Atomic diffusion is often linked to Diffusion process, thereby combining diverse domains of study.
Raymundo Arroyave focuses mostly in the field of Uncertainty quantification, narrowing it down to topics relating to Model selection and, in certain cases, Integrated computational materials engineering, Computational model, Probabilistic logic and Bayesian inference.
The various areas that Raymundo Arroyave examines in his Microstructure study include Spinodal, Phase transition, Wurtzite crystal structure, Nitride and Nanocrystalline material.
His CALPHAD study integrates concerns from other disciplines, such as Control engineering and Propagation of uncertainty.
His Alloy study combines topics from a wide range of disciplines, such as Work, Finite element method, Yield, Surrogate model and Laser power scaling.
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