Project Info

Computationally guided synthesis of nanostructured high entropy oxides

Ryan Richards
rrichard@mines.edu
Cristian Ciobanu
cciobanu@mines.edu

Project Goals and Description:

High entropy oxides have generated a great deal of interest over the last few years because of the unique structural characteristics and associated opportunities for tailoring properties. The first report of “entropy-stabilized oxides” in 2015 demonstrated that five or more cations incorporated in equimolar ratios yielded a single-phase oxide.1 Subsequent literature has established the more general nomenclature of “high-entropy oxides (HEOs)” for multi-cationic equimolar oxides.2 Located at the center of a multi-nary phase diagram, HEOs represent an underexplored domain of material composition that display unexpected structural stability and electrochemical properties.1-13

Over the last two decades, nanostructured, porous and two-dimensional (2D) materials have enabled fundamental new science14-17 as well as tremendously diverse technological applications,18-22 owing to a multitude of phenomena that occur when size is reduced to a few atomic layers in one or more dimensions.23 An intriguing mix of challenges and opportunities is presented by high entropy nanostructured materials. In terms of opportunities, these materials (e.g., metals,24, 25 oxides,26-28 sulfides29-31) are poised to significantly advance catalysis, battery electrodes, energy storage, electronic devices, and nanosensors/detectors, as the initial reports in the literature reveal high catalytic activity and storage capacity, as well as interesting quantum and electronic properties.32, 33 To unleash these desired properties and enable their reliable use in applications, the materials should possess at least one dimension less than 10nm, high quality (crystallinity), and large surface area.26-41  Focusing on oxides, we hypothesize that nanostructures with superior stability exist outside the currently established space of single oxide32, 33 nanomaterials: as such, we put forth the idea that nanomaterials made of high entropy oxides (HEOs, with >5 cations) can be synthesized by solution methods (enabling nanostructuring) and may lead to unique electrocatalytic properties and enhanced stability. This hypothesis is supported by exciting preliminary results demonstrating we have realized three HEOs. Further, we will use high-throughput computational approaches to guide the synthesis towards cation combinations most likely to be realized.

Entropic stabilization has been demonstrated for bulk (3D) oxides in various crystal structures (including 4+1 systems),1-4, 9and we surmise that entropic-configurational effects can stabilize various nanostructures (2d thin films, meso/nano-porous materials, nanoparticles, etc) as well. As mentioned above, initial reports in the literature have demonstrated that high entropy systems in fact impart both stability and significantly increased catalytic activity to metal oxides.2, 7-11

Richards (chemical synthesis) and Ciobanu (computation) have been working together for many years in the general area of computationally guided materials discovery and synthesis.  For the high entropy systems it is important that the two teams work closely (with integrated AI/ML) to insure experimental work is providing valuable feedback to computation and vice versa.  The teams will hold weekly meetings to discuss updates and complications.

More Information:

Grand Challenge: Not applicable.

Primary Contacts:

Ryan Richards, rrichard@mines.edu  | Cristian Ciobanu, cciobanu@mines.edu

Student Preparation

Qualifications

Two students will be needed: one with strong chemistry/chemical engineering background for synthesis of nano materials.  The other will need strong computational skills but may have a background in mechanical engineering, physics, chemistry, materials, computer science

TIME COMMITMENT (HRS/WK)

3-5 hours

SKILLS/TECHNIQUES GAINED

Students will learn about the interplay between experimental and computational approaches to materials discovery.  Numerous variations of simulation and AI/ML will be employed to predict stable compositions while experimentally the synthesis of nanoscale materials will involve use of supercritical solvents and characterization techniques using X-ray diffraction and electron microscopy.

MENTORING PLAN

This Mentoring Plan will be overseen by Profs Richards and Ciobanu. Specific mentoring in the areas of personnel and research project management will occur in a collaborative and interdisciplinary setting. Orientation will include in-depth conversations between Richards/Ciobanu and the IMURF students in addition to the graduate students they will be working with. To assist in the expectation setting process, students will write up an initial draft of their plan for each semester with milestones.  Daily mentoring will take place directly with graduate students assigned as MURF mentors. The MURF student, graduate students and PIs will have regular meetings to discuss both scientific progress and mentoring.

Preferred Student Status

Junior
Senior
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