This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Flexible uncertainty calibration for machine-learned interatomic potentials.
npj computational materials · 2026
A foundation model for atomistic materials chemistry.
The Journal of chemical physics · 2025
The design space of E(3)-equivariant atom-centred interatomic potentials.
Nature machine intelligence · 2025
Latest funding
- $400,000
DMREF: NSF-NSERC: Engineering Novel Quantum Material Platform at Twisted Multilayer Interfaces
NSERC · 2024 · Principal investigator
- $172,049
Machine-learning models for 2D quantum materials
NSERC · 2023 · Principal investigator
- $25,000
Machine Learning Surrogates for Simulating Quantum Materials
NSERC · 2022 · Principal investigator
10 publications.
Flexible uncertainty calibration for machine-learned interatomic potentials.
Ho CH, Ortner C, Wang Y
A foundation model for atomistic materials chemistry.
Batatia I, Benner P, Chiang Y, Elena AM, Kovács DP, Riebesell J, Advincula XR, Asta M, Avaylon M, Baldwin WJ, Berger F, Bernstein N, Bhowmik A, Bigi F, Blau SM, Cărare V, Ceriotti M, Chong S, Darby JP, De S, Della Pia F, Deringer VL, Elijošius R, El-Machachi Z, Fako E, Falcioni F, Ferrari AC, Gardner JLA, Gawkowski MJ, Genreith-Schriever A, George J, Goodall REA, Grandel J, Grey CP, Grigorev P, Han S, Handley W, Heenen HH, Hermansson K, Ho CH, Hofmann S, Holm C, Jaafar J, Jakob KS, Jung H, Kapil V, Kaplan AD, Karimitari N, Kermode JR, Kourtis P, Kroupa N, Kullgren J, Kuner MC, Kuryla D, Liepuoniute G, Lin C, Margraf JT, Magdău IB, Michaelides A, Moore JH, Naik AA, Niblett SP, Norwood SW, O'Neill N, Ortner C, Persson KA, Reuter K, Rosen AS, Rosset LAM, Schaaf LL, Schran C, Shi BX, Sivonxay E, Stenczel TK, Sutton C, Svahn V, Swinburne TD, Tilly J, van der Oord C, Vargas S, Varga-Umbrich E, Vegge T, Vondrák M, Wang Y, Witt WC, Wolf T, Zills F, Csányi G
The design space of E(3)-equivariant atom-centred interatomic potentials.
Batatia I, Batzner S, Kovács DP, Musaelian A, Simm GNC, Drautz R, Ortner C, Kozinsky B, Csányi G
Analysis of Local Structure of Mechanical and Thermal Rearrangements in Glasses with the Atomic Cluster Expansion.
Rottler J, Ortner C
ACEpotentials.jl: A Julia implementation of the atomic cluster expansion.
Witt WC, van der Oord C, Gelžinytė E, Järvinen T, Ross A, Darby JP, Ho CH, Baldwin WJ, Sachs M, Kermode J, Bernstein N, Csányi G, Ortner C
Tensor-Reduced Atomic Density Representations.
Darby JP, Kovács DP, Batatia I, Caro MA, Hart GLW, Ortner C, Csányi G
Hyperactive learning for data-driven interatomic potentials.
van der Oord C, Sachs M, Kovács DP, Ortner C, Csányi G
Body-Ordered Approximations of Atomic Properties.
Thomas J, Chen H, Ortner C
Local invertibility and sensitivity of atomic structure-feature mappings.
Pozdnyakov SN, Zhang L, Ortner C, Csányi G, Ceriotti M
Physics-Inspired Structural Representations for Molecules and Materials.
Musil F, Grisafi A, Bartók AP, Ortner C, Csányi G, Ceriotti M
DMREF: NSF-NSERC: Engineering Novel Quantum Material Platform at Twisted Multilayer Interfaces
Principal investigators: Ortner, Christoph
Keywords: Materials sciences; Physical sciences
Machine-learning models for 2D quantum materials
Principal investigators: Ortner, Christoph C
Keywords: 2d heterostructures; 2d materials; electronic structure; electron-phonon coupling; interatomic potentials; quantum materials; scientific machine-learning; superconductivity; twistronics
Machine Learning Surrogates for Simulating Quantum Materials
Principal investigators: Ortner, Christoph C
Hybrid Mechanistic/Data-driven Models for Interatomic Potentials
Principal investigators: Ortner, Christoph
Keywords: multi-scale modelling numerical analysis scientific computing microstructure evolution high strength steels advanced alloys electronic structure interatomic potentials materials process modelling uncertainty quantification
Mathematical Aspects of Atomistic and Multiscale Modelling
Principal investigators: Ortner, Christoph
Keywords: multi-scale modelling and coarse-graining; hybrid modelling; approximation of symmetric functions; inverse problems, parameter estimation; atoms and molecules; interatomic potentials; high-dimensional approximation; electronic structure; molecular dynamics
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.