Project Files
Excellence in Undergraduate Teaching
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Excellence in Undergraduate Teaching
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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
Artificial Neural Network-Based Prediction of the Optical Properties of Spherical Core\textendash Shell Plasmonic Metastructures
Peer-Reviewed Journal Article
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 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
Computational workshop
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 Noncentrosymmetric Ternary Compounds from Elemental Composition: A Machine-Learning Approach
Conference/Symposium/Workshop Contribution
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
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
Exploring the colours of gold alloys with machine learning
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
In Search of Coloured Intermetallics
Conference/Symposium/Workshop Contribution
Instantaneous Property Prediction and Inverse Design of Plasmonic Nanostructures Using Machine Learning: Current Applications and Future Directions
Peer-Reviewed Journal Article
Introduction to Machine Learning: A Practical Workshop
Conference/Symposium/Workshop Contribution
Investigation of Li-Zn-X (X = Ga, In) coloured intermetallics
Conference/Symposium/Workshop Contribution
Lost horses on the frontier: K2BiCl5 and K3Bi2Br9
Peer-Reviewed Journal Article
Machine Learning and Models: How we find optimal materials for Solar and CCS technologies
Conference/Symposium/Workshop Contribution
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 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
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
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
Predicting noncentrosymmetric quaternary tellurides using machine learning
Conference/Symposium/Workshop Contribution
Prediction of Novel Compounds and Rapid Property Screening through a Machine Learning Approach
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 sulfides RE3M0.5M'S7 (M = Zn, Cd; M' = Si, Ge)
Peer-Reviewed Journal Article
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
Searching for Missing Binary Equiatomic Phases: Complex Crystal Chemistry in the Hf–In System
Peer-Reviewed Journal Article
Semiconducting Sm3GaSe5O with trigonal bipyramidal GaSe5 units
Peer-Reviewed Journal Article
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
Structure and Luminescence Properties of Rare-Earth Chalcohalides RE3Ge2Ch8X (Ch = S, Se; X = Cl, Br, I)
Conference/Symposium/Workshop Contribution
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
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
USchool: Materials and Informatics
Conference/Symposium/Workshop Contribution
USchool: Materials and Informatics
Conference/Symposium/Workshop Contribution