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Consortium for Nuclear Security Advanced Manufacturing Enhanced by Machine Learning (Phase 1)

Overview

The Consortium for Nuclear Security Advanced Manufacturing Enhanced by Machine Learning (NSAM-ML) was established in October 2021 under the sponsorship of the National Nuclear Security Administration (NNSA), a Department of Energy (DOE) agency. It is built upon a partnership between North Carolina Central University (NCCU), Elizabeth City State University (ECSU), and Southern University Baton Rouge (SUBR) and two NNSA national laboratories, namely Sandia National Lab (SNL) and Los Alamos National Lab (LANL), as well as the Center for Integrated Nanotechnology (CINT). Additionally, the consortium collaborates with several research groups in majority universities that are leaders in materials science and engineering, notably NC State University (NCSU), Pennsylvania State University (PSU) in the framework of the National Science Foundation Partnership for Research and Education in Materials (NSF-PREM), NSF-sponsored nano-manufacturing (nanoMFG) node at the University of Illinois and the nanoHUB at Purdue University. The consortium is directed by Dr Abdennaceur Karoui, the PI, and the Co-PIs Dr. Branislav Vlahovic (NCCU), Dr Bijandra Kumar (ECSU), and Dr. Shizhong Yang (SUBR). 

Acknowledgement:

This website is supported by the National Nuclear Security Administration (NNSA) Minority Serving Institutions Partnership Program (MSIPP) of the U.S. Department of Energy (DOE) as part of award number: DE-NA0003979. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by DOE, NNSA, or the U.S. Government. 

For more information, please visit NNSA Minority Serving Institution Partnership Program (MSIPP) | Department of Energy.

Consortium Teams

NCCU Consortium team
North Carolina Central University
Elizabeth City State University Consortium
Elizabeth City State University
Southern University at Baton Rouge Consortium
Southern University at Baton Rouge

 

Consortium Vision

The NSAM-ML consortium combines the research infrastructure in science, technology, engineering and mathematics (STEM) fields available at the three university members and leverages the assets of the NNSA partners to enhance the research capabilities of the participating research groups as well as to support STEM education programs through sustainable and stronger research efforts. Dozens of under-represented students have been supported financially and engaged in the NSAM research projects to increase their commitment to their education and to embark on careers with better horizons. The multi-disciplinary collaboration with NNSA laboratories, majority universities and premier research consortia is indeed enabling noteworthy participation of students in science and advanced engineering, as well as advancing the discovery of critical materials and sensors, while building new knowledge in critical fields of national interest. Students who were not financially supported still benefited from the new education and research assets brought by the Consortium.

 

Research Thrusts

The research emphasis is on advanced manufacturing (AM), the discovery and development of new high-strength materials for special nuclear applications, and nanomaterials and nano-sensors for monitoring the health of the national nuclear infrastructure. Data-driven discovery leverages the strong material science expertise of the various Consortium teams. The five research thrusts at the core of this project are as follows:

  1. Predictive modeling, fabrication and characterization of advanced materials for (a) new types of sensors to monitor the health of nuclear infrastructure at the micron and submicron scales, as well as other special devices, (b) superalloys, high entropy alloys, and high-temperature cladding for plasma reactors, (c) new nanocomposites of superior functionalities
  2. Device physics (nanosensors, quantum devices, etc.) supported by high-performance computing
  3. Developing new AM paradigms and tailoring the material processing to suit AM concepts and to make use of the material nanoscale properties,
  4. New pathways for solar energy harvesting and generation of alternative fuel from CO2
  5. Machine learning for improving materials properties and the manufacturing of nanomaterials and nano-devices

 

Research Highlights

Scientists and students of the NSAM-ML Consortium have been focusing on a wide range of research topics of interest to NNSA and high-tech industry. The first is on discovering new concepts of new nanosensors useful for the NNSA mission, specifically for monitoring the health of nuclear hardware and other critical mechanical parts found in aerospace industry, military equipment and many other expensive infrastructure areas. Such sensors require advancement in materials science that allows the discovery of appropriate materials and manufacturing methods; these are required, for instance, to preserve the integrity of nanoscale properties of such materials and to allow proper fabrication and high-throughput processing. NSAM-ML researchers have been focusing on the discovery of new nanomaterials and on understanding their behavior and ways to fabricate them. Manufacturing nanomaterials require a new paradigm, which is emerging and will be one of the labels of the consortium.

The second area of research is on the discovery and investigation of super-hard and radiation-resistant materials; the example of high-entropy materials is exemplary for our consortium. High-temperature materials for nuclear reactors and for plasma reactors are being devised.

The third area of research, in which the consortium has produced several excellent papers, covers the production of hydrogen and conversion of carbon dioxide to alternative fuels or high-value materials, both using solar energy. The consortium prides itself on working on solutions for the dual problem of energy sources and pollution while allowing hydrocarbons to be used as high-value materials. The ongoing research in this area is promising significant improvements. The solutions for the energy-pollution dual problem offered to American citizens and the world are critical for the sustainability of our lifestyle.

The fourth area of research is quantum computing and nanomaterials usable for quantum devices. The consortium is contributing to this highly innovative research drive and has published a large number of papers in the field, which puts it in a unique position for serving the future quantum computing technologies and manufacturing materials and devices that serve such a great purpose. Quantum computing will provide future generations with computing power, energy conservation and an economic boom. Scientists envision that one quantum computer will replace hundreds and maybe thousands of nowadays supercomputers; thus, such technology will get rid of the immense amount of consumed energy used to provide computing power to millions and to maintain produced data, which are currently hosted in humongous infrastructure. 

To accelerate the research in the four areas, machine learning is being utilized at different levels. For instance, combined with quantum mechanics calculations, it helps discover new high-entropy materials. Also combined with large-scale molecular dynamics, it is utilized for building a database of carbon nanotube (CNT) mechanical properties; we refer to it as the NCCU CNT Database. The new database will help materials engineers and scientists discover new functional nanocomposite materials containing CNTs.

 

Education and Training

The educational effort undertaken through the NSAM-ML partnership is of primary importance. It is designed to significantly increase the participation of minority and underrepresented students in STEM, manufacturing science, data science and related disciplines. Since the inception of the consortium, strategies that increase the attraction of students to physics, chemistry, materials science and engineering, nanotechnology, and data science careers have been adopted in each of the three minority-serving institutions (MSIs), members of the NSAM-ML Consortium. Various educational activities have been maintained.

 

 

Publications

Consortium published research is listed in the following papers; highlighted names are of the NSAM-ML scientists. NSAM-ML scholar students have contributed to conference and journal papers, and many have been first authors of papers.  The names of the students are highlighted: U. Bhandari (he published 10 papers, of which he is first author of five papers), B. Barbee (four first author papers and one poster), A. Taiwo (two papers), N. W. Ogoi (one paper), B. Ma (one paper), B. O’Briant (one paper), K. Hauser (one paper), and O. R. Atikekeresola (one paper);

  1. S. Naz, A. Ullah, A. Zeb, M. Sheraz, F. Akram, A. Karoui, C. Won Ahn, High strain response and dielectric properties of complex-ion (Fe1/2Nb1/2)4+ doped Bi1/2(Na0.78K0.22)1/2TiO3 ceramics, Manuscript ID: JEMS-D-21-01933, Journal of Electronic Materials (Accepted).
  2. M. Habib, F. Akram, P. Ahmad, M. J. Iqbal, A. Zeb, I. Ud Din, M. U. Khandaker, A. Karoui, M. H. Kim, T. K. Song, Ultrahigh Piezoelectric Strain in Lead-free BiFeO3-BaTiO3 Ceramics at Elevated Temperature,  Journal of Alloys and Compounds (Accepted, DOI: https://doi.org/10.1016/j.jallcom.2022.165744).
  3. U. Bhandari, H. Ghadimi, C. Zhang, Feng Gao, S Yang, Shengmin Guo, Computational exploration of biomedical HfNbTaTiZr and Hf0.5Nb0.5Ta0.5Ti1.5Zr refractory high-entropy alloys, Materials Research Express, accepted.
  4. K. G. Dvoyan, A. Karoui, B. Vlahovic, Spontaneus Exciton Collapse in a Strongly Flattened Ellipsoidal InSb Quantum Dot, Nanoscale Research Letters, under review.
  5. F. Akram, A. Zeb, M. Habib, A. Ullah, P. Ahmad, A. Karoui, S.J. Milne, N. Ali, A. Kumar, S. Lee, C. W. Ahn,  Piezoelectric performance of the binary K1/2Bi1/2TiO3–LiTaO3 relaxor-ferroelectric ceramics, Materials Chemistry and Physics 279:125764 DOI:https://doi.org/10.1016/j.matchemphys.2022.125764
  6. M. Habib, P. Ahmad, F. Akram, I. Kebaili, A. Rahman, I.U. Din, M.J. Iqbal, M.H. Kim, S. Lee, M.U. Khandaker, H.G. Yeo, A. Karoui, and T.K. Song, High and temperature-insensitive piezoelectric performance in the lead-free Sm-doped BiFeO3-BaTiO3 ceramics with high curie temperature, Ceramics International (Accepted, DOI: https://doi.org/10.1016/j.ceramint.2022.05.355).
  7. S. Aleksic, V. V. Mitic, B. M. Randjelovic, A. Pantic, B. Markovic, A. Karoui, B. Vlahovic, Fractal Correction in Advanced Solar Energy Material's Current-Voltage Equation, (2022) International Journal of Modern Physics B, 2250016 (13 pages), World Scientific, DOI: 10.1142/S0217979222500163.
  8. I. Filikhin, A. Karoui, V. Mitic, T. Zatezalo1, B. Vlahovic, Instability of Charge Qubit Outfitted in a Double Quantum Dot, Mathematical Modelling and Geometry, Volume 9, No 3, p. 13 – 24 (2022).
  9. A. Turner, T. McCoy, W. Cao, A. Karoui, W. M. Maswadeh, B. Vlahovic, H. E. Elsayed-Ali, B. Daniel, M. Castro, K. K. Sadasivuni, M. Elahi, A. Adedeji, B. Kumar, Enhanced detection of volatile organic compounds (VOCs) by caffeine modified carbon nanotube junctions, Nano-Structures & Nano-Objects 24 100578, (2020) doi. 10.1016/j.nanoso.2020.100578.
  10. B. Muchharla, P. Malali, B. Daniel, A. Kondori, M. Asadi, W. Cao, H. E. Elsayed-Ali, M. Castro, M Elahi, A. Adedeji, K. Kumar Sadasivuni, M. R. Maurya, K. Kumar, A. Karoui, and B. Kumar, Tri−molybdenum Phosphide (Mo3P) and Multi−Walled Carbon Nanotubes Junctions for Volatile Organic Compounds (VOCs) Detection, Appl. Phys. Lett. 119, 113101 (2021); https://doi.org/10.1063/5.0059378.
  11. I. Filikhin, R. Ya. Kezerashvili, V. M. Suslov, Sh. M. Tsiklauri, B. Vlahovic, Three-body model for K(1460) resonance, PHYSICAL REVIEW D 102, 094027 (2020).
  12. I. Filikhin, B. Vlahovic, Lower Bound for ppK– Quasi-Bound State Energy ISSN 1063-7796, Physics of Particles and Nuclei, , Vol. 51, No. 5, pp. 979–987 (2020).
  13. V. Derbov; G. Chuluunbaatar; A. Gusev; O. Chuluunbaatar; S. Vinitsky; A. Gozdz; P. Krassovitskiy; I. Filikhin; A. Mitin, Journal of Quantitative Spectroscopy and Radiative Transfer, in press 2021.
  14. B. Roy, M. H. Wu, B. Vlahovic, Semi insulating N-gallium nitride (GaN) on sapphire surface reflection dataset obtained at millimeter wave frequencies 107.35–165 GHz Data in Brief 33, 106419 (2020), https://doi.org/10.1016/j.dib.2020.106419.
  15. B. Roy, S. Niture, M.H. Wu, Biological effects of low power nonionizing radiation-A narrative review, J. Radiation Research and Imaging (2021), 1(1):1-23 (2021).
  16. B. Roy, B. Vlahovic, M. H. Wu, "Spectroscopy and Characterization of Nanomaterials and Novel Materials. Experiments, Modeling, Simulations and Applications," Prabhakar Misra (Editor), Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, Germany, ISBN 978-3-527-34937-1 (2022).
  17. VV Mitic, G Lazovic, CA Lu, V Paunovic, I Radovic, A Stajcic, B Vlahovic, The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers, Applied Sciences 10 (10), 3485 (2020).
  18. B. Roy, M. H. Wu, Characteristics of room temperature bipolar photoconductance in 150 GHz probe transients obtained from normal and irradiated silicon illuminated by 532 nm laser, arXiv:2109.13326 [cond-mat.mtrl-sci] (2021).
  19. V.P. Pavlovic, D. Tosic, R. Dojcilovic, D. Dudic, M.D. Dramicanin, M. Medic, M.M. McPherson, V.B. Pavlovic, B. Vlahovic, V. Djokovic, PVDF-HFP/NKBT composite dielectrics: Perovskite particles induce the appearance of an additional dielectric relaxation process in ferroelectric polymer matrix, Polymer Testing 96, 107093 (2021).
  20. B. Pivac, P Dubcek, J Dasovic, H Zorc, S Bernstorff, J Zavasnik, M.H. Wu, B. Vlahovic, Formation of isolated Ge nanoparticles in thin continuous Ge/SiO2 multilayers, Vacuum, 109508 (2020).
  21. Millimeter wave photo-response of low-dose radiation damaged silicon, B. Roy, B. Pivac, B. Vlahovic, M.H. Wu, Nuclear Inst. and Methods in Physics Research B, 478, 50-55(2020).
  22. B. Muchharla, P. Malali, B. Daniel, A. Kondori, M. Asadi, W. Cao, H. E. Elsayed-Ali, M. Castro, M Elahi, A. Adedeji, K. Kumar Sadasivuni, M. R. Maurya, K. Kumar, A. Karoui, and B. Kumar, Tri−molybdenum Phosphide (Mo3P) and Multi−Walled Carbon Nanotubes Junctions for Volatile Organic Compounds (VOCs) Detection, Appl. Phys. Lett. 119, 113101 (2021); https://doi.org/10.1063/5.0059378.
  23. I. Filikhin and B. Vlahovic, Lower bound for ppK− quasi-bound state energy, Physics of Particles and Nuclei (2020), published Sep 28, 2020, Phys. Part. Nucl. 51, 979-987 (2020), DOI: 10.1134/S1063779620050032.
  24. Filikhin, I., Kezerashvili, R. Ya., Suslov, V. M., Tsiklauri, Sh. M., Vlahovic, B., Three-body model for K(1460) resonance, Physical Review D 102, 094027 (2020), Published  - 2020/11/30/, https://link.aps.org/doi/10.1103/PhysRevD.102.094027.
  25. V.L.Derbov, G.Chuluunbaatar, A.A.Gusev, O.Chuluunbaatar, S.I.Vinitsky, A. Gózdz, P.M.Krassovitskiy, I.Filikhin, A.V.Mitin, Spectrum of beryllium dimer in groundX1+g state, Journal of Quantitative Spectroscopy&Radiative Transfer, 262(2021) 107529.
  26. I. Filikhin, Yu. M. Kuzmichev and B. Vlahovic, Particle configurations in the NNK system, MMG, Volume 9, No 1, pp. 1 - 11 (2021), doi:10.26456/mmg/2020-911.
  27. V.V. Mitic, B.M. Randjelovic, S.N. Ribar, M.Z. Cebela, M.Mohr, B. Vlahovic, H.J. Fecht, Thermal parameters defined with graph theory approach in synthesized diamonds, Accepted for journal Thermal Science.
  28. A. Janicijevic, V.P. Pavlovic, D. Kovacevic, M. Peric, B. Vlahovic, V.B. Pavlovic, S. Filipovic, Structural characterization of nanocellulose/Fe3O4 hybrid nanomaterials, is submitted to the journal Polymer Testing.
  29. B Pivac, P Dubcek, H Zorc, S Bernstorff, B Vlahovic, J Zavasnik, Thickness dependent growth of Ge nanoparticles in amorphous Ge/SiO2 multilayers, Vacuum, Volume 190, August 2021, 110294.
  30. H. V. Grushevskaya, G. G. Krylov, S. P. Kruchinin, B. Vlahovic, and Stefano Bellucci Phys. Rev. B 103, 235102 (2021).
  31. Johvan O.Hill-Dick, WeiCao, Kishor K. Sadasivuni, MehranElahi, Adetayo Adedeji Hani, E.Elsayed-Ali, Gymama Slaughter, Kapil Kumar, Mohammad Asadi, B. Kumar, Nanocoral Ag for nonenzymatic glucose detection at extremely low operational potential, Materials Today Communications Volume 27, June 2021, 102261.
  32. B. Muchharla, Praveen Malali, Brenna Daniel, Alireza Kondori, Mohammad Asadi, Wei Cao, Hani E. Elsayed-Ali, Mickaël Castro, Mehran Elahi, Adetayo Adedeji, Kishor Kumar Sadasivuni, Muni Raj Maurya, A. Karoui, Bijandra Kumar “Tri–molybdenum phosphide (Mo3P) and multi-walled carbon nanotubes junctions for volatile organic compounds (VOCs) detection” Appl. Phys. Lett., 119 (11), 113101, 2021.
  33. U. Bhandari, C. Zhang, C. Zeng, S. Guo, A. Adhikari, and S. Yang, Deep Learning-Based Hardness Prediction of Novel Refractory High-entropy Alloys with Experimental, Crystals 11, 46 (2021). https://doi.org/10.3390/cryst11010046.
  34. C. Zhang, B. Yue, U. Bhandari, O. Starovoytov, Y. Yang, D. Young, J. Yan, F. Hong, and S. Yang, In situ study on the compression deformation of MoNbTaVW, JOURNAL OF ALLOYS AND COMPOUNDS 871 159557 (2021).
  35. U. Bhandari, C. Zhang, S. Yang, Mechanical and thermal properties of low-density Al20+xCr20-xMo20-yTi20V20+y Alloys, Crystals 10 (4), 278 (2020).
  36. U. Bhandari, Congyan Zhang, Shengmin Guo, Shizhong Yang, First-principles study on the mechanical and thermodynamic properties of MoNbTaTiW, International Journal of Minerals, Metallurgy and Materials 27 (10), 1398-1404 (2020).
  37. C. Zhang, U. Bhandari, C. Zeng, H. Ding, S. Guo, Jinyuan Yan, and S. Yang, Carbide formation in refractory Mo15Nb20Re15Ta30W20 alloy under a combined high-pressure and high-temperature condition, Entropy 22, 718 (2020).
  38. U. Bhandari, M. R. Rafi, C. Zhang, S. Yang, Yield strength prediction of high-entropy alloys using machine learning, Materials Today Communications 26, 101871 (2021). https://doi.org/10.1016/j.mtcomm.2020.101871.
  39. C. Zhang, B. Yue, U. Bhandari, Oleg N Starovoytov, Yan Yang, David P Young, Jinyuan Yan, Fang Hong, Shizhong Yang, In situ study on the compression deformation of MoNbTaVW high-entropy alloy, Journal of Alloys and Compounds 871, 159557 (2021).
  40. C. Zhang, U. Bhandari, Jialin Lei, Congyuan Zeng, Shengmin Guo, Hyunjoo Choi, Seungjin Nam, Jinyuan Yan, Shizhong Yang, Feng Gao, Performance of Carbide Alloy Compounds in Carbon Doped MoNbTaW, Crystals 11 (9), 1073 (2021).
  41. U. Bhandari, C. Zhang, C. Zeng, Shengmin Guo, Aashish Adhikari, S. Yang, Deep Learning-Based Hardness Prediction of Novel Refractory High-Entropy Alloys with Experimental Validation, Crystals 11 (1), 46 (2021).

 

Submitted

  1. C. Zhang, X. Gu, U. Bhandari, J. Lei, G. Oyekenu, S. Guo, A. Karoui, and S. Yang CALPHAD and DFT Based Dataset for Machine Learning Design of Refractory Multicomponent Alloys Computational Materials, Elsevier, under review.
  2. P. Malali, B. Muchharla, W. Cao, H. E. Elsayed-Ali, A. Adedeji, K. K. Sadasivuni, A. Abdullah, A. Karoui, B. Kumar “Dispersed Platinum on Molybdenum electrocatalyst for efficient Hydrogen evolution reaction” [Submitted].
  3. P. Malali, B. Muchharla, K. K. Sadasivuni, W. Cao, H. Elsayed-Ali, A. Adedeji, A. Karoui, A. Abdullah, J. Spurgeon, B. Kumar, Low Platinum-loaded Molybdenum Co-catalyst for the Hydrogen Evolution Reaction in Alkaline and Acidic Media, Manuscript ID: cs-2022-01504y, Journal:ACS Catalysis.

  1. N. W. Ogoi, B. Ma, B. O’Briant, K. Hauser, O. R. Atikekeresola, A. Taiwo, Carbon Nanotube Mechanical Properties Using Molecular Dynamics and Development of Database for Machine Learning, Graduate and Undergraduate Student Symposium, Durham March 26, 2022.
  2. F. Sahtout, A. Karoui, B. Vlahovic, Dynamics of Vacancy and Vacancy Lines Formation in Graphene for Qubit Arrays, Abstract ID: 3676435, Symposium: QT07: Atomic and Molecular Quantum Systems and Defect Engineering for Quantum Technologies, MRS Spring Meeting and Exhibit, Honolulu, May 8-13, 2022.
  3. A. Karoui, A. Taiwo, F. Sahtout, I. Filikhin, B. Vlahovic, Intermediate Band (IB) Induced by Nitrogen Chemical Complexes in Silicon, Abstract ID: 3677281 Symposium EN01: Silicon for Photovoltaics, MRS Spring Meeting and Exhibit, Honolulu, May 8-13 (2022).
  4. K. Dvoyan, A. Karoui, B. Vlahovic, Excitonic States in an Ellipsoidal Quantum Dot with Kane's Dispersion Law, American Physical Society Symposium, Semiconductors, Insulators, and Dielectrics Electronic structure: theory and spectra, APS Spring Meeting, Chicago, March 14 – 18 (2022).
  5. A. Karoui, I. Filikhin, T. Zatezalo1, B. Vlahovic, Electron localization in double quantum dots: ideal and realistic confinements, Symposium of Complex Structured Materials, Including Graphene (DCMP), APS Spring Meeting, Chicago, March 14 – 18 (2022).
  6. B. Barbee, B. Muchharla, W. Cao, H. E. Elsayed-Ali, A. Adedeji, A. Karoui, K. K. Sadasivuni and B. Kumar “Cu and Ni co-sputtered Heteroatomic Thin Film for Nonenzymatic Glucose Detection: Synergistic Effect” State of North Carolina Undergraduate Research & Creativity Symposium (SNCURCS), 2021. 
  7. B. Barbee, B. Muchharla, W. Cao, H. E. Elsayed-Ali, A. Adedeji, A. Karoui, K. K. Sadasivuni and B. Kumar “Enhanced nonenzymatic glucose detection through the synergy of Cu and Ni in a co-sputtered heteroatomic thin film” Bulletin of the American Physical Society, APS March Meeting (2022).
  8. B. Barbee, B. Muchharla, P. Malali, W. Cao, H. E. Elsayed-Ali, A. Adedeji, A. Karoui, K. K. Sadasivuni, J. M. Spurgeon and B. Kumar “Platinum loaded molybdenum thin film: An advanced electrocatalyst for the hydrogen evolution reaction” Bulletin of the American Physical Society, APS March Meeting 2022.
  9. B. Barbee, B. Muchharla, P. Malali, W. Cao, H. E. Elsayed-Ali, A. Adedeji, A. Karoui, K. K. Sadasivuni, J. M. Spurgeon and B. Kumar “Electrochemical CO2 reduction reaction in transition metal sputtered thin films” Bulletin of the American Physical Society, APS March Meeting (2022).
  10. B. Muchharla, P. Malali, B. Daniel, A. Kondori, M. Asadi, W. Cao, H. E. Elsayed-Ali, M.Castro, M. Elahi, A. Adedeji, K. K. Sadasivuni, M. R. Maurya, and B. Kumar “Multi-walled carbon nanotubes junctions modified with tri–molybdenum phosphide (Mo3P) for detection of volatile organic compounds (VOCs)” First International Electronic Conference on Chemical Sensors and Analytical Chemistry (CSAC2021), Sciforum-046879.
  11. B. Barbee, B. Muchharla, P. Malali, W. Cao, H. E. Elsayed-Ali, A. Adedeji, A. Karoui, K. K. Sadasivuni, and B. Kumar “Transition metal-based catalysts for electrochemical conversion of CO2” Bulletin of Materials Research Society (MRS), ID# 3621748, Fall Meeting, Boston, Massachusetts (2021).
  12. B. Muchharla, P. Malali, W. Cao, H. E. Elsayed-Ali, A. Adedeji, K. K. Sadasivuni, A. Abdullah, and B. Kumar “Electrochemical reduction of carbon dioxide to methane on Molybdenum and Tungsten-based electrocatalysts” The 2nd International Electronic Conference on Catalysis Sciences (ECCS 2021), Sciforum-047783.
  13. P. Malali, B. Muchharla, W. Cao, H. E. Elsayed-Ali, A. Adedeji, K. K. Sadasivuni, A. Abdullah, and B. Kumar “Enhanced hydrogen evolution reaction via low platinum loaded molybdenum electrocatalyst” Bulletin of Materials Research Society (MRS), ID# 3621285, Fall Meeting, Boston, Massachusetts, 2021.
  14. P. Malali, B. Muchharla, W. Cao, H. E. Elsayed-Ali, A. Adedeji, K. K. Sadasivuni, A. Abdullah, and B. Kumar “Dispersed platinum on molybdenum electrocatalyst for efficient hydrogen evolution reaction” The 2nd International Electronic Conference on Catalysis Sciences (ECCS 2021), Sciforum-047782.

Research Dissemination

The NSAM-ML Seminar Series is a weekly event in which students and scientists from the consortium present their research outcomes and scientists from NNSA labs present their capabilities, current joint-project, student opportunities and research proposals. Scientists, students and partners from the NNSA labs discuss their research results and cooperation, as well as student opportunities in NNSA laboratories. Some of the given talks are highlighted.