Eduardo Marin

ORCID: 0000-0003-1521-9358
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Research Areas
  • Diamond and Carbon-based Materials Research
  • High Entropy Alloys Studies
  • Laser-induced spectroscopy and plasma
  • Laser-Plasma Interactions and Diagnostics
  • Advanced materials and composites
  • Machine Learning in Materials Science
  • Fusion materials and technologies
  • High-Temperature Coating Behaviors
  • Metal and Thin Film Mechanics
  • X-ray Diffraction in Crystallography
  • Nuclear Physics and Applications
  • Hydraulic Fracturing and Reservoir Analysis
  • Crystallography and molecular interactions
  • Semiconductor materials and devices
  • Reservoir Engineering and Simulation Methods
  • High-pressure geophysics and materials
  • Magnetic confinement fusion research
  • Ion-surface interactions and analysis
  • Oil and Gas Production Techniques
  • Fluid Dynamics and Heat Transfer
  • Electron and X-Ray Spectroscopy Techniques
  • Laser-Matter Interactions and Applications

General Atomics (United States)
2022-2024

Fusion Academy
2023

Weatherford (Norway)
2021

University of California, San Diego
2018-2020

La Jolla Bioengineering Institute
2019

A high-entropy metal disilicide, (Mo0.2Nb0.2Ta0.2Ti0.2W0.2)Si2, has been successfully synthesized. X-ray diffraction (XRD), energy dispersive spectroscopy (EDX), and electron backscatter (EBSD) collectively show the formation of a single silicide phase. This (Mo0.2Nb0.2Ta0.2Ti0.2W0.2)Si2 possesses hexagonal C40 crystal structure with ABC stacking sequence space group P6222. discovery expands known families materials from metals, oxides, borides, carbides, nitrides to silicide, for first time...

10.1016/j.jmat.2019.03.002 article EN cc-by-nc-nd Journal of Materiomics 2019-03-22

Accurately determining the crystallographic structure of a material, organic or inorganic, is critical primary step in material development and analysis. The most common practices involve analysis diffraction patterns produced laboratory XRD, TEM, synchrotron X-ray sources. However, these techniques are slow, require careful sample preparation, can be difficult to access, prone human error during This paper presents newly developed methodology that represents paradigm change electron...

10.1126/science.aay3062 article EN Science 2020-01-31

Laser-driven Hohlraums filled with gas at lower densities (<0.6 mg/cc) have higher efficiency compared to original ≥ 0.96 mg/cc fill because of reduced backscatter losses [Hall et al., Phys. Plasmas 24, 052706 (2017)]. However, using low-density longer drive required for adiabat implosions, and hence potentially inertial confinement fusion gain designs, has been challenging since the Hohlraum wall blow-off is less tamped, thus altering laser beam absorption regions symmetry. A series...

10.1063/5.0136145 article EN publisher-specific-oa Physics of Plasmas 2023-03-01

W-SiC composite material is a promising plasma-facing candidate alternative to pure W due the low neutron activation, impurity radiation, and tritium diffusivity of SiC while leveraging high erosion resistance armor. Additionally, have thermomechanical compatibility given their similar thermal expansion rates. The present study addresses synthesis performance compositionally graded films fabricated by pulsed-DC magnetron sputtering. Compositional gradients were characterized using...

10.48550/arxiv.2308.16358 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Boron-doped nanowires have promising applications in inertial confinement fusion. Developing an effective fabrication method for boron-doped is necessary further investigation into their use as targets. In this paper, we examine a that maximizes wire length and boron composition while minimizing time. Two boron-containing nanoparticles—pure nitride nanoparticles—were used dopants two possible materials: General Atomics–Carbon-Hydrogen (GA-CH) aerogel carbon-hydrogen (CH) polymer. Anodic...

10.1080/15361055.2023.2169547 article EN Fusion Science & Technology 2023-04-17

Abstract Failure Prediction in Oil and Gas Artificial Lift Systems is materializing through the implementation of advanced analytics driven by physics-based models. During Phase I this project, two early failure prediction machine learning models were trained offline with historical data evaluated a blind test. The next challenge, II, to operationalize these on Real-Time re-assess their accuracy, precision (in days) while having assets focusing either extending runtime optimization, chemical...

10.2118/207550-ms article EN Day 4 Thu, November 18, 2021 2021-12-09

General Atomics-Carbon Hydrogen (GA-CH) and Deuterium (GA-CD) aerogels have applications as inertial confinement fusion (ICF) targets at the National Ignition Facility, Omega Laser Z Pulsed Power Facility. However, experiments these facilities require fabrication of precise geometries aerogels, achievable only by machining. Unfortunately, machining low-density (<50 mg/cm3) GA-CH is difficult, given their fragile structure. Higher-density although easier to machine, are left with a small nub...

10.1080/15361055.2022.2151287 article EN Fusion Science & Technology 2023-02-23

AbstractPolystyrene (PS) capsules produced by General Atomics are useful to inertial confinement fusion work. Contact scratches caused collisions between container asperities and PS beads a prominent defect arising during the fabrication process, reducing them would improve surface quality. This study analyzed various containers for curing washing stages of bead capsule production. For stage, plastic bottles were found have lower scratch frequency severity than glass flasks, indicating that...

10.1080/15361055.2023.2190292 article EN Fusion Science & Technology 2023-07-31

A high-entropy metal disilicide, (Mo0.2Nb0.2Ta0.2Ti0.2W0.2)Si2, has been successfully synthesized. X-ray diffraction (XRD), energy dispersive spectroscopy (EDX), and electron backscatter (EBSD) collectively show the formation of a single silicide phase. This (Mo0.2Nb0.2Ta0.2Ti0.2W0.2)Si2 possesses hexagonal C40 crystal structure with ABC stacking sequence point group P6222. discovery expands known families materials from metals, oxides, borides, carbides, nitrides to silicide, for first time...

10.48550/arxiv.1902.01033 preprint EN cc-by arXiv (Cornell University) 2019-01-01

Journal Article High-Throughput Identification of Crystal Structures Via Machine Learning Get access Kevin Kaufmann, Kaufmann Department NanoEngineering, UC San Diego, La Jolla, CA, USA Search for other works by this author on: Oxford Academic Google Scholar Chaoyi Zhu, Zhu Materials Science and Engineering Program, Alexander S Rosengarten, Rosengarten Daniel Maryanovsky, Maryanovsky Cognitive Science, Tyler Harrington, Harrington Eduardo Marin, Marin Kenneth Vecchio USAMaterials...

10.1017/s1431927619012029 article EN Microscopy and Microanalysis 2019-08-01
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