Challenger Mishra

University of Cambridge — United Kingdom

Mathematics · Physical Sciences

9h-index296citations33works1.52yr avg
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Research Topics

Geometry and complex manifolds(9), Black Holes and Theoretical Physics(6), Algebraic Geometry and Number Theory(6), Geometric Analysis and Curvature Flows(5), Particle physics theoretical and experimental studies(3)

Publications33 total

Hermitian Yang--Mills connections on general vector bundles: geometry and physical Yukawa couplings
arXiv (Cornell University)·2025Open Access
A remark on weighted average multiplicities in prime factorisation
arXiv (Cornell University)·2025Open Access
Symbolic approximations to Ricci-flat metrics via extrinsic symmetries of Calabi–Yau hypersurfaces
Machine Learning Science and Technology·2025· 1 citedOpen Access
Machine Learning Workflows for Motion Capture-driven Biomechanical Modelling
2025Open Access
Precision string phenomenology
Physical review. D/Physical review. D.·2025· 4 citedOpen Access
cymyc: Calabi-Yau Metrics, Yukawas, and Curvature
Journal of High Energy Physics·2025· 1 citedOpen Access
Symbolic Approximations to Ricci-flat Metrics Via Extrinsic Symmetries of Calabi-Yau Hypersurfaces
arXiv (Cornell University)·2024Open Access
cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature
arXiv (Cornell University)·2024Open Access
Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm
arXiv (Cornell University)·2024Open Access
Precision String Phenomenology
arXiv (Cornell University)·2024Open Access
Physical Yukawa Couplings in Heterotic String Compactifications
arXiv (Cornell University)·2024Open Access
Machine-learned Calabi–Yau metrics and curvature
Advances in Theoretical and Mathematical Physics·2024· 12 cited
Learning to be Simple
arXiv (Cornell University)·2023Open Access
Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data
Bioengineering·2023· 13 citedOpen Access
Predicting ruthenium catalysed hydrogenation of esters using machine learning
Digital Discovery·2023· 9 citedOpen Access
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation
arXiv (Cornell University)·2022Open Access
Machine Learned Calabi-Yau Metrics and Curvature
arXiv (Cornell University)·2022Open Access
Machine Learning for Optical Motion Capture-driven Musculoskeletal Modelling from Inertial Motion Capture Data
arXiv (Cornell University)·2022Open Access
Machine Learning for Musculoskeletal Modeling of Upper Extremity
IEEE Sensors Journal·2022· 14 citedOpen Access
Neural network approximations for Calabi-Yau metrics
Journal of High Energy Physics·2022· 36 citedOpen Access
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Frequent Co-authors

Vishnu Jejjala(14), Per Berglund(7), Giorgi Butbaia(7), Damián Kaloni Mayorga Peña(6), Justin Tan(6), Tristan Hübsch(6), Damián Mayorga Peña(5), Abhishek Dasgupta(4), Vikranth Harthikote Nagaraja(4), Yang‐Hui He(3), Philip Candelas(3), Viktor Mirjanić(3), Kieran Bull(2), Andrei Constantin(2), Rahul Sharma(2), Niklas von Wolff(2), Abhinav Tripathi(2), Éric Brémond(2), Annika Preiss(2), Amit Kumar(2)