Executive Director, A3MD
University of Toronto
Brandon earned a BASc in Nanotechnology Engineering from University of Waterloo in 2012, and a PhD in Electrical and Computer Engineering from the Sargent Group at University of Toronto in 2016.
Brandon’s research experience spans the discovery and development of new materials for optoelectronic devices, where he has authored 20 scientific publications. In 2017, he was awarded the Governor General Gold Medal in recognition of his research contributions.
In 2017, Brandon was one of the founding editors for Joule, a scale-spanning energy research journal—now one of the highest-cited research publications across all sciences. At Joule, Brandon served as chief evaluator for over 1200 technical, economic, and policy research reports; and published 42 editorials and research features.
In 2020, Brandon joined as Executive Director of A3MD.
Assistant Professor
McMaster University
Assistant Professor – McMaster University (2019-present)
Associate Staff Scientist – Stanford University / SLAC National Accelerator Laboratory (2017-2018)
Banting Postdoctoral Fellow – Stanford University (2015-2017)
Visiting Scholar – Los Alamos National Laboratory (2014)
PhD, University of Waterloo, 2015
MASc, University of Waterloo, 2011
BASc, University of Waterloo, 2009
Drew was born in London, Ontario — a city commonly regarded as the 2nd best London in the world. He studied Chemical Engineering through the University of Waterloo’s 5-year co-op program, which allowed him to gain almost two years of experience working in academic laboratories and industrial settings. Recognizing that academia suited his lifestyle, he pursued graduate school and completed his MASc in 2011 and PhD in 2015 in the Department of Chemical Engineering at the University of Waterloo under the supervision of Professor Zhongwei Chen. During this time, his research focused on the development of nanostructured catalyst materials for low temperature fuel cells and metal-air batteries. He also spent almost one year at the Los Alamos National Laboratory (LANL) as a visiting scholar working with Dr. Piotr Zelenay, Dr. Gang Wu and LANL’s talented fuel cell research team.
In 2015, Drew began a Banting Postdoctoral Fellowship at Stanford University under the supervision of Professor Thomas Jaramillo, carrying out fundamental electrochemical CO2 reduction catalysis research. He was promoted to an Associate Staff Scientist in 2017, and continued with his research in the field of electrocatalysis for electrochemical CO2 reduction, fuel cells and electrochemical water splitting technologies.
He finally made his return to the Great White North, where he began as an Assistant Professor in the Department of Chemical Engineering at McMaster University in January 2019. Outside of “work” (quotations suggesting that pursuing one’s passion need not be considered work), Drew can be found socializing with friends and colleagues, playing sports, spending time outdoors, or yelling at the television watching his beloved Vancouver Canucks, Toronto Raptors or Toronto Blue Jays.
Authors: D. Koshy, S. Chen, D. Lee, M. Burke Stevens, A. Abdellah, S. Dull, G. Chen, D. Nordlund, A. Gallo, C. Hahn, D. Higgins, Z. Bao, T. Jaramillo
Volume/Number: Angewandte Chemie International Edition, https://doi.org/10.1002/anie.201912857
Year: 2020
Electro-Oxidation of Methane on Platinum under Ambient Conditions
Authors: M. Boyd, A. Latimer, C. Dickens, A. Nielander, C. Hahn, J. Norskov, D. Higgins, T. Jaramillo
Volume/Number: ACS Catalysis, DOI: 10.1021/acscatal.9b01207
Year: 2019
Gas-Diffusion Electrodes for Carbon Dioxide Reduction: A New Paradigm
Authors: D. Higgins, C. Hahn, C. Xiang, T. Jaramillo, A. Weber
Volume/Number: ACS Energy Letters, DOI: 10.1021/acsenergylett.8b02035
Year: 2019
Assistant Professor
University of Toronto
Alex earned his Ph.D. in physics of semiconductors from Chernivtsi National University, Ukraine for his work on electronic properties of nitride semiconductor alloys.
In 2004 he joined the Quantum Semiconductors and Bionanophotonics lab at University of Sherbrooke as a postdoc, working on theoretical modeling of laser-assisted quantum well intermixing and self-assembly processes of organic monolayers on metal and semiconductor surfaces for applications in bio-sensing.
In 2008 he moved to Quantum Theory Group at National Research Council of Canada in Ottawa, where he worked on many-body problems in epitaxial and colloidal semiconductor and graphene quantum dots; in particular, simulations of multi-exciton generation, Auger processes and optical properties of nanocrystals used in hybrid polymer-semiconductor solar cells.
Alex joined Ted Sargent’s Nanomaterials for Energy Group in 2011 and worked on characterization and modeling of the semiconductor nanocrystal surfaces and developing the synthesis methods for nanomaterials with improved optical and transport properties for photovoltaics.
In 2018, Alex joined the Department of Physical and Environmental Sciences at the University of Toronto, Scarborough as an Assistant Professor in Clean Energy. His topics of interest are materials for energy storage and novel materials discovery using high-throughput experiments and machine learning.
Machine learning accelerates discovery of optimal colloidal quantum dot synthesis
Authors: O. Voznyy, L.Levina, J. Fan, M.Askerka, A.Jain, M-J. Choi, O.Ouellette, P.Todorovic, L.K. Sagar, E.H. Sargent,
Journal/DOI: ACS Nano, DOI: 10.1021/acsnano.9b03864
Year: 2019
Continuous-wave lasing in colloidal quantum dot solids enabled by facet-selective epitaxy
Authors: F. Fan*, O. Voznyy*, R. Sabatini*, K. Bicanic*, M. M. Adachi, J. R. McBride, K. R. Reid, Y.S. Park, X. Li, A. Jain, R. Quintero-Bermudez, M. Saravanapavanantham, M. Liu, M. Korkusinski, P. Hawrylak, V. I. Klimov, S. J. Rosenthal, S. Hoogland, E. H. Sargent
Journal/DOI: Nature, doi:10.1038/nature21424
Year: 2017
It’s a trap! Fused quantum dots are undesired defects in thin-film solar cells
Authors: K. Singh, O. Voznyy
Journal/DOI: Chem, https://doi.org/10.1016/j.chempr.2019.06.015
Year: 2019
Professor
University of Toronto
2003 – Ph.D. Mechanical Engineering, University of Toronto
2000 – M.Eng. Mechanical Engineering, McGill University
1998 – B.A.Sc. Mechanical Engineering, University of Toronto
David Sinton is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. He is the Canada Research Chair (Tier 1) in Microfluidics and Energy. He was the Associate Chair of Research in Mechanical & Industrial Engineering, as well as the Interim Vice-Dean of Research in the Faculty of Applied Science & Engineering. Prior to joining the University of Toronto, Dr. Sinton was an Associate Professor and Canada Research Chair (Tier 2) at the University of Victoria, and a Visiting Associate Professor at Cornell University. He received a BASc from the University of Toronto, MEng from McGill University and his PhD from the University of Toronto.
The Sinton Lab develops fluid systems for applications in energy and analysis. The group is application-driven and is currently developing fluid systems to produce renewable fuels from CO2 to develop energy efficient industrial working fluids, and to quantify the environmental impacts of future climate conditions. The group previously developed a library of industrial fluid testing systems to improve chemical performance in the energy industry, now commercialized through the startup Interface Fluidics Ltd.
Dr. Sinton was selected to be an NSERC E.W.R. Steacie Memorial Fellow in 2016. He is also a Fellow of the Canadian Society for Mechanical Engineering, a Fellow of the American Society of Mechanical Engineers, a Fellow of the Engineering Institute of Canada, a Fellow of the American Association for the Advancement of Science, and a Fellow of the Canadian Academy of Engineering. He serves on the advisory board of the journal Lab on a Chip.
Enhanced multi-carbon alcohol electroproduction from CO via modulated hydrogen adsorption
Authors: Li, J., Xu, A., Li, F., Wang, Ziyun, Zou, C., Gabardo, C.M., Wang, Y., Ozden, A., Xu, Y., Nam, D.-H., Lum, Y., Wicks, J., Chen, B., Wang, Zhiqiang, Chen, J., Wen, Y., Zhuang, T., Luo, M., Du, X., Sham, T.-K., Zhang, B., Sargent, E.H., Sinton, D
Journal/DOI: Nature Communications, https://doi.org/10.1038/s41467-020-17499-5
Year: 2020
Constraining CO coverage on copper promotes high-efficiency ethylene electroproduction
Authors: Li, J., Wang, Z., McCallum, C., Xu, Y., Li, F., Wang, Y., Gabardo, C.M., Dinh, C.-T., Zhuang, T.-T., Wang, L., Howe, J.Y., Ren, Y., Sargent, E.H., and Sinton, D
Journal/DOI: Nature Catalysis, https://doi.org/10.1038/s41929-019-0380-x
Year: 2019
Accelerating fluid development on a chip for renewable energy
Authors: Zhong, J., Soni, V., Saber, S., Riordon, J., Schwarz, B., Toews, M., Sinton, D
Volume/Number: Energy Fuels, https://doi.org/10.1021/acs.energyfuels.0c01776
Year: 2020
Research Officer
National Research Council of Canada
Dr. Isaac Tamblyn holds adjunct positions at the University of Ottawa (Physics), University of Waterloo (Electrical and Computer Engineering), and Ontario Technology University (Physics)
Isaac held postdoctoral fellowships at the Lawrence Livermore National Laboratory and UC Berkeley and was a Killam Scholar.
The main objective of his research is to apply computational methods to applied problems in material science. Recently, his group has been focused on applying the tools of “data science” to the problem of materials. Of particular interest is using recent advances in deep learning learning and A.I. to develop computationally tractable solutions to hard problems in condensed matter physics, with a focus on applications in the space of renewable energy materials.
Crystal site feature embedding enables exploration of large chemical spaces
Authors: H. Choubisa, M. Askerka, K. Ryczko, O. Voznyy, K. Mills, I. Tamblyn, E. H. Sargent
Journal/DOI: Matter, DOI:10.1016/j.matt.2020.04.016
Year: 2020
Finding the ground state of spin Hamiltonians with reinforcement learning
Authors: K. Mills, P. Ronagh, and I. Tamblyn
Journal/DOI: Nature Machine Intelligence, https://doi.org/10.1038/s42256-020-0226-x
Year: 2020
Evolutionary reinforcement learning of dynamical large deviations
Authors: S. Whitelam, D. Jacobson, and I. Tamblyn
Journal/DOI: The Journal of Chemical Physics, https://doi.org/10.1063/5.0015301
Year: 2020
M.A.Sc. candidate
University of Toronto
darshan.parmar@mail.utoronto.ca
Darshan graduated from the University of Waterloo with a B.A.Sc. in Nanotechnology Engineering. He is currently a M.A.Sc. student pursuing research in accelerated development of colloidal quantum dot and perovskite-based devices for light emission.
M.A.Sc. Candidate
University of Toronto, Sargent Group
Husna studied Physics at Mount Holyoke College in Massachusetts where she completed her undergraduate thesis on organic photovoltaics. Husna then spent four years working on the design and construction of solar PV, cogeneration and battery storage systems across New York City. Her research focuses on machine learning, solar cells, and light-emitting devices using quantum dot and perovskite materials.
Ph. D. Candidate, Clean Energy Lab
University of Toronto
Kamal is a Ph.D. student in Professor Alex Voznyy’s group at the University of Toronto. His work revolves around the discovery of new materials for applications in light emission and catalysis. In addition to his work, Kamal has served as the lead computational scientist on several projects, modeling various properties for nanomaterials. Having recently obtained a certificate in Data Science and Machine learning from the University of Waterloo, Kamal is now hoping to combine machine learning methods and high-throughput experimentation to bypass traditional 1D material exploration and thereby accelerate the material discovery process.
Ph. D. Candidate, Sargent Group
University of Toronto
Following a BASc in Nanotechnology Engineering from the University of Waterloo, Josh now combines high-throughput experimental investigations and ML-accelerated computational materials design to develop catalyst systems for the conversion of carbon dioxide into valuable chemicals and fuels as a doctoral researcher at the University of Toronto.
Ph. D. Candidate, Sargent Group
University of Toronto
Jehad is a Vanier doctoral researcher at the Sargent group – University of Toronto. He is leading A3MD’s effort to accelerate the discovery of materials for efficient and durable electrocatalysis with the help of automation and data-driven experimentations. Jehad’s interests lie at the interface of material science, chemistry, and data science; he employs high-throughput experimentation, autonomous material discovery, and operando characterization to develop novel catalysts for a green and sustainable economy. Jehad is also passionate about transferring technology from the lab to industry; he was a finalist in the Carbon XPRIZE, where the team was able to upscale CO2 conversion into value-added products.
PhD Candidate, Higgins Lab
McMaster University
Wajdi is pursuing his PhD at the Higgins lab at McMaster University. He received his BSc. and MSc. in chemical engineering from Texas A&M University at Qatar (TAMUQ) in 2016 and 2018, respectively. He works within the in-situ/operando thrust within A3MD. The thrust aims to incorporate X-ray Absorption Spectroscopy (XAS) and Transmission Electron Microscopy (TEM) for the acceleration of material discovery and high-throughput goals both experimentally and through ML/AI.
Ph. D. Candidate, Clean Energy Lab
University of Toronto
Filip is a PhD candidate in the Voznyy lab at University of Toronto. He is working on accelerating computational discovery of new clean energy materials.
Postdoctoral Fellow, Chin Lab
University of Toronto
The continuous environmental issues due to the emissions from fossil-based transportation have attracted the interest for alternative fuels from the renewable system. Dimethoxymethane (DMM) and its derivatives oxymethylene ethers are one of oxygenated synthetic fuels to attract many interests thanks to their significantly reduced emissions. Currently, the production for DMM relies on multiple processes requiring much energies and costs. My research is to study the direct synthesis of DMM by combining methanol partial oxidation and secondary condensation using bifunctional catalysts which include the metal function. In addition, the reaction mechanisms will be investigated with kinetic studies.
Postdoctoral Fellow, Sinton Lab
University of Toronto
Talha Kose received his PhD in Mechanical Engineering from the University of Toronto in 2020. He obtained his MS and BS in Mechanical Engineering from the Middle East Technical University (Ankara, Turkey) in 2016 and 2013, respectively. He is currently working as a Postdoctoral Fellow in Sinton Lab, University of Toronto. He is an experienced researcher in electro-mechanical systems, and his interest in mechatronics and robotics motivates him to work over building high-throughput testing infrastructures for A3MD thrusts. His research background also includes optical design for miniature cameras, MEMS sensor design and microfabrication.
Postdoctoral Fellow, Sargent Group
University of Toronto
Tong Zhu received his Ph.D. degree in Mechanical Engineering & Materials Science from Duke University in 2019 under the supervision of Prof. Volker Blum. Afterwards, he joined Sargent group as a postdoctoral fellow in 2020. His research interest includes structure, electronic, optical and defect properties of materials based on first principle DFT and machine learning. He is now working at machine-learned Kohn-Sham solver which benefits for large-scale and high-throughput calculations.
Post-Doctoral Fellow, Matter Lab
University of Toronto
Dr. Yao is a computational material scientist in the Matter lab. Zhenpeng conducts research focusing on a variety of phenomena observed in electrochemistry and searching for materials generally used in, yet not limited to, Li-ion batteries, including materials for anodes, cathodes, solid electrolytes, as well as Metal-organic Frameworks (MOFs). First-principles Density Functional Theory (DFT) Calculations, High-throughput Virtual Screening, Deep Learning techniques, Monte Carlo Simulations, Non-equilibrium Phase Search Method, Nudged Elastic Band theory are common tools used.
Postdoctoral Fellow, Sargent Group
University of Toronto
Clark received his Ph.D. degree in Chemical and Biological Engineering from Princeton University in 2017. He later joined Prof. Richard Van Duyne’s group at Northwestern University as a postdoctoral fellow (later with George Schatz and Mike Wasielewski). Clark’s past research spanned electrocatalysis, nanomaterial synthesis, and operando spectroscopy. Clark joined the Sargent group at the University of Toronto in 2020 as a postdoctoral fellow and is currently focusing on CO2 conversion using renewable processes. In his research, Clark will be integrating machine learning and high throughput methodologies to accelerate materials development.
Research Officer
National Research Council of Canada
Prior to joining the National Research Council of Canada (NRC), Robert Black worked in both academic (UWaterloo, graduated 2016) and industry (Ioxus Inc.) R&D fields associated with battery and supercapacitor materials. Robert Black is a research officer with NRC-Mississauga and is leading the new research efforts in the areas of self-driving laboratories and accelerated material discovery. Robert’s research interests are involved with bringing traditional laboratory-based electrochemical techniques into automated laboratories, as well as the application of experimentally-driven machine learning algorithms to the material discovery process. It is through close collaborative ties between NRC-M and UofT that Robert is contributing to the efforts of A3MD.
Research Officer
National Research Council of Canada
Dr. Claudie Roy is a Research Officer at the National Research Council of Canada (NRC), where she leads the CO2 conversion thrust of the Materials for Clean Fuels Challenge Program. She is interested in the discovery of more active and stable catalysts for the CO2 conversion and H2 production using high-throughput experimentations.
Program Manager, A3MD
Ph. D. Candidate, Sargent Group
University of Toronto
Andrew graduated with a B.A.Sc in Nanotechnology Engineering from the University of Waterloo. His current research focuses on the accelerated development of new nanomaterials for use in light emission through machine learning and high-throughput experimentation.
Associate Professor
University of Toronto
Ya-Huei (Cathy) Chin received her B.S. and M.S. degrees (2000) in chemical engineering from University of Oklahoma. While an undergraduate at University of Oklahoma, she was awarded an Undergraduate Research Grant from the Honor’s Office of the University of Oklahoma. She worked with Professor Edgar A. O’Rear III on investigating the seasonal variation and circadian rhythm in the onset of acute myocardial infarction. For her master thesis, she was advised by Professor Daniel E. Resasco in which she investigated the synergistic effects of metal and acid sites for the selective reduction of NOx using light hydrocarbons.
Cathy joined Pacific Northwest National Laboratory (PNNL), one of the ten United States National Research Laboratories in 2000, operated by Battelle Memorial Institute for the Department of Energy (US), as a research engineer and then as senior research scientist. She led the catalyst development task in an intensive effort of commercializing microreactor technology for conversion of natural gas to liquid fuel. She also involved in developing materials and catalytic conversion technology for NOx exhaust emission control, on-anode reforming in solid oxide fuel cell, and H2 production.
Cathy pursued a doctorate degree at the University of California, Berkeley from 2005-2010 under the tutelage of Professor Enrique Iglesia. Her thesis work focused on elucidating the molecular mechanisms for natural gas conversion on supported Group VIII nanosized metal clusters. Specifically, she applied isotopic and kinetic methods to interrogate the kinetic responses and dynamics of the surfaces during chemical reactions. In a close collaboration with Professor Matthew Neurock at University of Virginia, she applied density functional theoretical methods to probe the structures and energies of molecules along the reaction coordinate.
Besides teaching and carrying out catalytic research, Cathy plays classical piano, rock climb, hike, and dance.
Cathy joined the Department of Chemical Engineering and Applied Chemistry starting May 2011 and is now an associate professor of chemical engineering. She is a Canada Research Chair (Tier II) in Advanced Catalysis for Sustainable Chemistry and is recognized as an Emerging Leader in Chemical Engineering, a national level recognition for her vision and leadership in catalysis, within Canada and internationally. She is a recipient of the NSERC Discovery Accelerator Award, Humboldt Research Fellowship, Ontario Early Researcher Award, and Imperial Oil University Research Award. She also received the Bill Burgess Teacher of the Year Award for Large Classes. Cathy is a judge for the global NRG COSIA Carbon X-prize, a $20 million CAD prize for the development of carbon dioxide utilization technologies, and she represents Canada at the Commonwealth Science Conference on low carbon fuels.
Authors: R. Yao; J. E. Herrera; L. Chen; Y. H. C. Chin
Journal/DOI: ACS Catalysis, https://dx.doi.org/10.1021/acscatal.0c01073
Year: 2020
Mechanistic role of the proton–hydride pair in heteroarene catalytic hydrogenation
Authors: H. Cai, R. Schimmenti, H. Nie, M. Mavrikakis, Y. H. C. Chin
Journal/DOI: ACS Catalysis, http://dx.doi.org/10.1021/acscatal.9b01997
Year: 2019
Consequences of surface oxophilicity of Ni, Ni-Co, and Co clusters on methane activation
Authors: W. Tu, M. Ghoussoub, C. V. Singh, and Y. H. C. Chin
Journal/DOI: Journal of the American Chemical Society. DOI: 10.1021/jacs.7b01632
Year: 2017
Professor
University of Toronto
Alán Aspuru-Guzik is a professor of Chemistry and Computer Science at the University of Toronto and is also the Canada 150 Research Chair in Theoretical Chemistry and a Canada CIFAR AI Chair at the Vector Institute. He is a CIFAR Lebovic Fellow in the Biologically Inspired Solar Energy program. Alán also holds a Google Industrial Research Chair in Quantum Computing.
Alán began his independent career at Harvard University in 2006 and was a Full Professor at Harvard University from 2013-2018. He received his B.Sc. from the National Autonomous University of Mexico (UNAM) in 1999 and obtained a PhD from the University of California, Berkeley in 2004, where he was also a postdoctoral fellow from 2005-2006.
Alán conducts research in the interfaces of quantum information, chemistry, machine learning and chemistry. He was a pioneer in the development of algorithms and experimental implementations of quantum computers and quantum simulators dedicated to chemical systems. He has studied the role of quantum coherence in the transfer of excitonic energy in photosynthetic complexes and has accelerated the discovery by calculating organic semiconductors, organic photovoltaic energy, organic batteries, and organic light-emitting diodes. He has worked on molecular representations and generative models for the automatic learning of molecular properties. Currently, Alán is interested in automation and “autonomous” chemical laboratories.
Among other recognitions, he received the Google Focused Award for Quantum Computing, the Sloan Research Fellowship, The Camille and Henry Dreyfus Teacher-Scholar award, and was selected as one of the best innovators under the age of 35 by the MIT Technology Review. He is a member of the American Physical Society and an elected member of the American Association for the Advancement of Science (AAAS) and received the Early Career Award in Theoretical Chemistry from the American Chemical Society.
Alán is associate editor of the journal Chemical Science as well as co-founder of Zapata Computing and Kebotix.
ChemOS: An orchestration software to democratize autonomous discovery
Authors: L. M. Roch, F. Häse, C. Kreisbeck, T. Tamayo-Mendoza, L. P. E. Yunker, J. E. Hein, A. Aspuru-Guzik
Journal/DOI: PLoS ONE, e0229862.https://doi.org/10.1371/journal.pone.0229862
Year: 2020
Inverse design of solid-state materials via a continuous representation
Authors: J. Noh, J. Kim, H. S. Stein, B. Sanchez-Lengeling, J. M. Gregoire, A. Aspuru-Guzik, Y. Jung
Journal/DOI: Matter, https://doi.org/10.1016/j.matt.2019.08.017
Year: 2019
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
Authors: A. Zhavoronkov, Y. A. Ivanenkov, A. Aliper, M. S. Veselov, V. A. Aladinskiy, A. V. Aladinskaya, V. A. Terentiev, D. A. Polykovskiy, M. D. Kuznetsov, A. Asadulaev, Y. Volkov, A. Zholus, R. R. Shayakhmetov, A. Zhebrak, L. I. Minaeva, B. A. Zagribelnyy, L. H. Lee, R. Soll, D. Madge, L. Xing, T. Guo, and A. Aspuru-Guzik
Journal/DOI: Nature Biotechnology, https://doi.org/10.1038/s41587-019-0224-x
Year: 2019
University Professor
University of Toronto
Ted Sargent received the B.Sc.Eng. (Engineering Physics) from Queen’s University in 1995 and the Ph.D. in Electrical and Computer Engineering (Photonics) from the University of Toronto in 1998. He has held the following visiting professorships:
MIT: Visiting Professor, Nanotechnology and Photonics, in the Microphotonics Center, MIT, 2004-5
UCLA: Fulbright Visiting Professor at UCLA 2013
Berkeley: Somorjai Visiting Miller Professorship at Berkeley Fall 2017
He holds the rank of University Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto. He holds the Canada Research Chair in Nanotechnology and also serves as Vice-President, Research and Innovation, and Strategic Initiatives for the University of Toronto.
His book The Dance of Molecules: How Nanotechnology is Changing Our Lives (Penguin) was published in Canada and the United States in 2005 and has been translated into French, Spanish, Italian, Korean, and Arabic.
He is founder and CTO of InVisage Technologies and a co-founder of Xagenic.
He is a Fellow of the Royal Society of Canada; a Fellow of the AAAS “…for distinguished contributions to the development of solar cells and light sensors based on solution-processed semiconductors;” and a Fellow of the IEEE “… for contributions to colloidal quantum dot optoelectronic devices.” He is Fellow of the Canadian Academy of Engineering for “…ground-breaking research in nanotechnology, applying novel quantum-tuned materials to the realization of full-spectrum solar cells and ultra sensitive light detectors. The impact of his work has been felt in industry through his formation of two start-up companies.”
His publications have been cited [Scopus] over 50,000 times, and 110 of his papers have been cited >= 110 times.
Accelerated discovery of CO2 electrocatalysts using active machine learning
Authors: M. Zhong, K. Tran, Y. Min, C. Wang, Z. Wang, C. T. Dinh, P. De Luna, Z. Yu, A. S. Rasouli, P. Brodersen, S. Sun, O. Voznyy, C. S. Tan, M. Askerka, F. Che, M. Liu, A. Seifitokaldani, Y. Pang, S. C. Lo, A. Ip, Z. Ulissi, E. H. Sargent
Journal/DOI: Nature, DOI:10.1038/s41586-020-2242-8
Year: 2020
Machine-learning-accelerated perovskite crystallization
Authors: J. Kirman, A. Johnston, D. A. Kuntz, M. Askerka. Y. Gao, P. Todorovic, D. Ma, G. G. Prive, E. H. Sargent
Journal/DOI: Matter, DOI:10.1016/j.matt.2020.02.012
Year: 2020
Molecular tuning of CO2-to-ethylene conversion
Authors: F. Li, A. Thevenon, A. Rosas-Hernandez, Z. Wang, Y. Li, C. M. Gabardo, A. Ozden, C. T. Dinh, J. Li, Y. Wang, J. P. Edwards, Y. Xu, C. McCallum, L. Tao, Z. Liang, M. Luo, X. Wang, H. Li, C. P. O’Brien, C. S. Tan, D. Mam, R. Quintero-Bermudez, T. Zhuang, Y. C. Li, Z. Han, R. David Britt, D. Sinton, T. Agapie, J. C. Peters, E. H. Sargent
Journal/DOI: Nature, DOI:10.1038/s41586-019-1782-2
Year: 2019