Project Files
Excellence in Undergraduate Teaching
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Excellence in Undergraduate Teaching
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Students' Choice Honour Roll
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A Study of the Utility of a Machine-Learning Approach Applied to the Prediction of Site Occupancy and New Members of the Half-Heusler Family
Master Thesis
Accelerated discovery of perovskites and prediction of band gaps using machine-learning methods
Conference/Symposium/Workshop Contribution
Accelerating the Discovery of Materials with Machine Learning: Potential Roadblocks and How to Overcome Them
Conference/Symposium/Workshop Contribution
Accelerating the Discovery of Materials with Machine Learning: Potential Roadblocks and How to Overcome Them
Conference/Symposium/Workshop Contribution
Accelerating the Discovery of Materials: Machine-Learning Approach
Other Event
Accelerating the Discovery of Solid State Materials
Conference/Symposium/Workshop Contribution
Accelerating the Discovery of Solid State Materials
Conference/Symposium/Workshop Contribution
Accelerating the Discovery of Solid State Materials with Machine-Learning Approaches
Conference/Symposium/Workshop Contribution
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the Discovery of Solid State Materials: From Traditional to Machine-Learning Approaches
Other Event
Accelerating the discovery of solid state materials: From traditional to machine- learning approaches
Conference/Symposium/Workshop Contribution
Active Learning for Optimum Experimental Design - Insight into Perovskite Oxides
Peer-Reviewed Journal Article
Ahead by a Century: Discovery of Laves Phases Assisted by Machine Learning
Peer-Reviewed Journal Article
Ahead by a Century: Discovery of Laves Phases Assisted by Machine Learning
Conference/Symposium/Workshop Contribution
Are selenides the same as sulfides? Structure, spectroscopy, and properties of narrow-gap rare-earth semiconductors RE2Sn(S1-xSex)5 (RE = La, Ce; x = 0-0.8)
Peer-Reviewed Journal Article
Artificial Neural Network-Based Prediction of the Optical Properties of Spherical Core\textendash Shell Plasmonic Metastructures
Peer-Reviewed Journal Article
Bridging chemistry from high school to university
Other Event
Bridging chemistry from high school to university
Other Event
Bridging chemistry from high school to university: A Canadian perspective
Conference/Symposium/Workshop Contribution
Can we use machine learning to find synthesizable compounds?
Conference/Symposium/Workshop Contribution
Cerium-containing chalcohalides as tunable photoluminescent materials
Conference/Symposium/Workshop Contribution
Classification of Half-Heusler Compounds through Machine Learning Approaches
Conference/Symposium/Workshop Contribution
Classification of Half-Heusler Compounds through Machine-Learning Approaches
Conference/Symposium/Workshop Contribution
Classification of crystal structures: Machine-learning predictions and experimental validation
Conference/Symposium/Workshop Contribution
Coloured Li-containing intermetallic compounds
Conference/Symposium/Workshop Contribution
Coloured intermetallic compounds Li2ZnGa and Li2ZnIn
Peer-Reviewed Journal Article
Coloured intermetallic compounds LiCu2Al and LiCu2Ga
Peer-Reviewed Journal Article
Comparison of computational and experimental inorganic crystal structures
Peer-Reviewed Journal Article
Comparison of computational and experimental inorganic crystal structures
Conference/Symposium/Workshop Contribution
Compositional and elemental descriptors for perovskite materials
Conference Proceedings
Computational workshop
Conference/Symposium/Workshop Contribution
Controlling the luminescence of rare-earth chalcogenide iodides RE3(Ge1–xSix)2S8I (RE = La, Ce, and Pr) and Ce3Si2(S1–ySey)8I
Peer-Reviewed Journal Article
Controlling the luminescence of rare-earth chalcohalides Ce3Ge2–xSixS8I and Ce3Si2S8–ySeyI
Conference/Symposium/Workshop Contribution
Crystal growth of multivalent rare-earth intermetallics using metal fluxes
Conference/Symposium/Workshop Contribution
Crystallography in Chemistry and Materials Science
Conference/Symposium/Workshop Contribution
Discovery of Intermetallic Compounds from Traditional to Machine-Learning Approaches
Peer-Reviewed Journal Article
Discovery of Li-containing compounds with channel structures guided by machine learning
Conference/Symposium/Workshop Contribution
Discovery of Noncentrosymmetric Ternary Compounds from Elemental Composition: A Machine-Learning Approach
Conference/Symposium/Workshop Contribution
Discovery of inorganic solids guided by machine learning
Conference/Symposium/Workshop Contribution
Discovery of inorganic solids guided by machine learning
Other Event
Discovery of inorganic solids guided by machine learning
Conference/Symposium/Workshop Contribution
Discovery of inorganic solids with desired structure motifs guided by machine learning
Conference/Symposium/Workshop Contribution
Discovery of inorganic solids with desired structure motifs guided by machine learning
Conference/Symposium/Workshop Contribution
Discovery of ternary antimonides A–Al–Sb (A = Rb or Cs) with desired structural motifs guided by machine learning
Peer-Reviewed Journal Article
Discovery of ternary noncentrosymmetric compounds: A machine-learning approach with experimental proof
Conference/Symposium/Workshop Contribution
Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC
Peer-Reviewed Journal Article
Drop that activation energy: Tetragonal to cubic transformations in Na3PS4−xSex for solid state sodium ion battery materials
Peer-Reviewed Journal Article
Effect of Li Addition on the Nonlinear Optical Activity of Ag1-xLixMSe2 (M = Ga, In)
Conference/Symposium/Workshop Contribution
Effect of Li Addition on the Nonlinear Optical Activity of Ag1-xLixMSe2 (M = Ga, In)
Conference/Symposium/Workshop Contribution
Effect of aliovalent bismuth substitution on structure and optical properties of CsSnBr3
Peer-Reviewed Journal Article
Expanding the compositional space of quaternary multi-principal element alloys through interpretable machine learning and experimental validation
Conference/Symposium/Workshop Contribution
Experimental Validation of High Thermoelectric Performance in RECuZnP2 Predicted by High-Throughput DFT Calculations
Conference/Symposium/Workshop Contribution
Experimental validation of high thermoelectric performance in RECuZnP2 predicted by high-throughput DFT calculations
Peer-Reviewed Journal Article
Explainable machine learning in materials chemistry: Decision trees as scoring function
Conference/Symposium/Workshop Contribution
Exploring the colours of gold alloys with machine learning
Conference/Symposium/Workshop Contribution
Gordon Research Conference in Solid State Chemistry
Conference/Symposium/Workshop Contribution
Half-Heusler Structures with Full-Heusler Counterparts: Machine-Learning Predictions and Experimental Validation
Peer-Reviewed Journal Article
Hexagonal Double Perovskite Cs2AgCrCl6
Peer-Reviewed Journal Article
High-Throughput Approaches for Discovering Thermoelectric Materials
Other Event
Hot Carrier-Mediated Generation of Solar Fuels Using Plasmon-Semiconductor Nanoheterojunctions
Conference/Symposium/Workshop Contribution
How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics
Peer-Reviewed Journal Article
How large is an atom?
Conference/Symposium/Workshop Contribution
How to look for compounds
Other Event
How to look for compounds
Other Event
How to look for compounds
Other Event
How to separate two Ts in a pod: Classifying T- and T′-type Ruddlesden-Popper cuprates by machine learning
Peer-Reviewed Journal Article
In Search of Coloured Intermetallics
Conference/Symposium/Workshop Contribution
In search of coloured alloys resembling gold: Structure and optical properties of LiCu2Ga1−xAlx and Li(Cu1–yNiy)2Ga
Peer-Reviewed Journal Article
Insights into the Machine Learning Predictions of the Optical Response of Plasmon@Semiconductor Core-Shell Nanocylinders
Peer-Reviewed Journal Article
Instantaneous Property Prediction and Inverse Design of Plasmonic Nanostructures Using Machine Learning: Current Applications and Future Directions
Peer-Reviewed Journal Article
Interpretable machine learning in solid state chemistry, with applications to perovskites, spinels, and rare-earth intermetallics: Finding descriptors using decision trees
Peer-Reviewed Journal Article
Introduction to Machine Learning: A Practical Workshop
Conference/Symposium/Workshop Contribution
Investigating ordering in chalcogenide solid electrolytes using solid-state NMR spectroscopy
Conference/Symposium/Workshop Contribution
Investigation of Li-Zn-X (X = Ga, In) coloured intermetallics
Conference/Symposium/Workshop Contribution
Is there a simple descriptor to predict Laves phases?
Peer-Reviewed Journal Article
La4Ga2Se6O3: A rare-earth oxyselenide built from one-dimensional strips
Peer-Reviewed Journal Article
Li-containing coloured intermetallic compounds and chalcogenides
Doctoral Thesis/Dissertation
Lost horses on the frontier: K2BiCl5 and K3Bi2Br9
Peer-Reviewed Journal Article
Low bandgap carbon nitride nanoparticles incorporated in titania nanotube arrays by in situ electrophoretic anodization for photocatalytic CO 2 reduction
Peer-Reviewed Journal Article
Luminescence properties of rare-earth chalcohalides RE3Ge2-xSixS8I (RE = La, Ce, Pr) and Ce3Si2S8-ySeyI for potential application in phosphor-converted white LEDs
Conference/Symposium/Workshop Contribution
Machine Learning and Models: How we find optimal materials for Solar and CCS technologies
Conference/Symposium/Workshop Contribution
Machine learning in solid state chemistry: A workshop for the rest of us
Other Event
Machine learning in solid-state chemistry: Heusler compounds
Book Chapter
Machine-Learning Predictions and Experimental Validation of Full and Half-Heusler Structures
Conference/Symposium/Workshop Contribution
Machine-Learning Predictions and Experimental Validation of Full and Half-Heusler Structures
Other Event
Machine-Learning Predictions and Experimental Validation of Heusler Structures
Other Event
Machine-learning classification of Laves phases and prediction of new compounds
Conference/Symposium/Workshop Contribution
Machine-learning prediction of new Laves phases with experimental validation
Conference/Symposium/Workshop Contribution
Machine-learning predictions and experimental validation of full- and half-Heusler structures
Conference/Symposium/Workshop Contribution
Machine-learning predictions of half-Heusler structures
Conference/Symposium/Workshop Contribution
Materials and informatics
Other Event
Materials discovery of intermetallics through machine learning: Experimental validation and interpretable models
Conference/Symposium/Workshop Contribution
Materials discovery through machine learning: Experimental validation and interpretable models
Other Event
Materials discovery through machine learning: Experimental validation and interpretable models
Other Event
Materials discovery through machine learning: Experimental validation and interpretable models
Other Event
Materials discovery through machine learning: Experimental validation and interpretable models
Conference/Symposium/Workshop Contribution
Materials discovery through machine learning: Experimental validation and interpretable models
Conference/Symposium/Workshop Contribution
Materials discovery through machine learning: Experimental validation and interpretable models
Other Event
Materials discovery through machine learning: Experimental validation and interpretable models
Other Event
Materials discovery through machine learning: Experimental validation and interpretable models
Conference/Symposium/Workshop Contribution
Materials discovery through machine learning: Experimental validation and interpretable models
Conference/Symposium/Workshop Contribution
Mechanochemical processing of W-substituted solid-state electrolytes and its effects on electrochemical performance and crystal structure
Conference/Symposium/Workshop Contribution
Mechanochemistry in sodium thioantimonate solid electrolytes: Effects on structure, morphology, and electrochemical performance
Peer-Reviewed Journal Article
Mercurial possibilities: determining site distributions in Cu2HgSnS4 using 63/65Cu, 119Sn, and 199Hg solid-state NMR spectroscopy
Peer-Reviewed Journal Article
Mere anarchy is loosed: Structural disorder in Cu2Zn1-xCdxSnS4
Peer-Reviewed Journal Article
Minority report: Structure and bonding of YbNi3Ga9 and YbCu3Ga8 obtained in gallium flux
Peer-Reviewed Journal Article
NSERC discovery grant roundtable
Conference/Symposium/Workshop Contribution
New quaternary metallic phosphides
Conference/Symposium/Workshop Contribution
New rare-earth gallium oxyselenides as potential electrocatalytic and thermoelectric materials
Conference/Symposium/Workshop Contribution
Noncentrosymmetric rare-earth chalcogenides RE3M1.67Ch7 (M = Ga, In; Ch = S, Se) as potential nonlinear optical materials
Conference/Symposium/Workshop Contribution
Not Just Par for the Course: 73 Quaternary Germanides RE4M2XGe4 (RE = La–Nd, Sm, Gd–Tm, Lu; M = Mn–Ni; X = Ag, Cd) and the Search for Intermetallics with Low Thermal Conductivity
Peer-Reviewed Journal Article
Phase transformations in lithium-containing chalcogenides
Conference/Symposium/Workshop Contribution
Predicting noncentrosymmetric quaternary tellurides using machine learning
Conference/Symposium/Workshop Contribution
Predicting thermoelectric figures-of-merit for half-Heusler compounds using machine learning
Conference/Symposium/Workshop Contribution
Prediction of Novel Compounds and Rapid Property Screening through a Machine Learning Approach
Other Event
Public speaking and performance techniques for teaching chemistry
Other Event
Quaternary Rare-Earth Transition-Metal Germanides RE4M2CdGe4 and RE4M2AgGe4 (RE = La–Sm, Gd–Tm, Lu; M = Mn–Ni)
Conference/Symposium/Workshop Contribution
Quaternary rare-earth oxyselenides RE4Ga2Se7O2 (RE = Pr, Nd) with trigonal bipyramidal GaSe5 units: Evaluation of optical, thermoelectric, and electrocatalytic properties
Peer-Reviewed Journal Article
Quaternary rare-earth sulfides RE3M0.5M'S7 (M = Zn, Cd; M' = Si, Ge)
Peer-Reviewed Journal Article
Quaternary rare-earth transition-metal phosphides RE5M3Ni16P12 (M = Zr, Hf)
Conference/Symposium/Workshop Contribution
Rare earth gallium oxyselenides with unprecedented GaSe5 units as potential optical and thermoelectric materials
Conference/Symposium/Workshop Contribution
Rare-Earth-Containing Selenides and Oxyselenides
Doctoral Thesis/Dissertation
Rare-earth indium selenides RE3InSe6 (RE = La-Nd, Sm, Gd, Tb): Structural evolution from tetrahedral to octahedral sites
Peer-Reviewed Journal Article
Rare-earth transition-metal oxychalcogenides
Conference/Symposium/Workshop Contribution
Rare-earth transition-metal oxyselenides
Conference/Symposium/Workshop Contribution
Rare-earth transition-metal oxyselenides
Conference/Symposium/Workshop Contribution
Rare-earth-containing chalohalides and intermetallics
Doctoral Thesis/Dissertation
Rare-earth-doped La3Si2S8I: Potential materials for phosphor-converted white LEDs
Conference/Symposium/Workshop Contribution
Revealing hidden patterns through chemical intuition and interpretable machine learning: A case study of binary rare-earth intermetallics RX
Peer-Reviewed Journal Article
Revealing hidden patterns through chemical intuition and interpretable machine learning: A case study of binary rare-earth intermetallics RX
Conference/Symposium/Workshop Contribution
Revisiting the classification of spinels through machine learning
Conference/Symposium/Workshop Contribution
Searching for Missing Binary Equiatomic Phases: Complex Crystal Chemistry in the Hf–In System
Peer-Reviewed Journal Article
Searching for new spinels using machine learning
Conference/Symposium/Workshop Contribution
Searching for new spinels using machine learning
Conference/Symposium/Workshop Contribution
Semiconducting Sm3GaSe5O with trigonal bipyramidal GaSe5 units
Peer-Reviewed Journal Article
Session chair at North American Solid State Chemistry Conference
Conference/Symposium/Workshop Contribution
Solid state chemistry - Influence of structure and form on properties
Conference/Symposium/Workshop Contribution
Solving the Colouring Problem in Half- Heusler Structures: Machine-Learning Predictions and Experimental Validation
Conference/Symposium/Workshop Contribution
Solving the Colouring Problem in Half-Heusler Structures: Machine-Learning Predictions and Experimental Validation
Peer-Reviewed Journal Article
Some concepts in machine learning, with applications to materials discovery
Conference/Symposium/Workshop Contribution
Structure and Luminescence Properties of Rare-Earth Chalcohalides RE3Ge2Ch8X (Ch = S, Se; X = Cl, Br, I)
Conference/Symposium/Workshop Contribution
Structure and optical properties of LixAg1-xGaSe2 and LixAg1-xInSe2
Peer-Reviewed Journal Article
Structure and optical properties of LixAg1–xAlSe2
Peer-Reviewed Journal Article
Symmetry in art and chemistry; machine learning
Other Event
Synthesis, structure, and properties of rare-earth germanium sulfide iodides RE3Ge2S8I (RE = La, Ce, Pr)
Peer-Reviewed Journal Article
Ternary and Quaternary Rare-Earth Transition-Metal Germanides
Master Thesis
Ternary and quaternary rare‐earth germanides: discovery of intermetallic compounds from traditional to machine‐learning approaches
Conference/Symposium/Workshop Contribution
Ternary phases in the Yb-Cu-Ga and Yb-Ni-Ga systems
Conference/Symposium/Workshop Contribution
Ternary rare-earth-metal nickel indides RE23Ni7In4 (RE = Gd, Tb, Dy) with Yb23Cu7Mg4-type structure
Peer-Reviewed Journal Article
The centre cannot hold
Peer-Reviewed Journal Article
The effect of electrolyte structure, ion conductivity, and decomposition due to mechanochemical processing
Conference/Symposium/Workshop Contribution
Thermoelectric properties of inverse perovskites A3TtO (A = Mg, Ca; Tt = Si, Ge): Computational and experimental investigations
Peer-Reviewed Journal Article
Three Rh-rich ternary germanides in the Ce-Rh-Ge system
Peer-Reviewed Journal Article
True colours shining through: Determining site distributions in coloured Li-containing quaternary Heusler compounds
Peer-Reviewed Journal Article
USchool: Materials and Informatics
Conference/Symposium/Workshop Contribution
USchool: Materials and Informatics
Conference/Symposium/Workshop Contribution
USchool: Materials and informatics: What are things made of? How do we discover them?
Conference/Symposium/Workshop Contribution
USchool: Materials and informatics: What are things made of? How do we discover them?
Conference/Symposium/Workshop Contribution
Unlocking the perovskite of intermetallics with interpretable machine learning
Conference/Symposium/Workshop Contribution
What is a lattice?
Conference/Symposium/Workshop Contribution