Adrian Butscher

Autodesk (United States) — United States

Mathematics · Physical Sciences

17h-index2.0kcitations82works0.52yr avg
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Research Topics

Geometric Analysis and Curvature Flows(22), Geometry and complex manifolds(15), 3D Shape Modeling and Analysis(12), Advanced Numerical Analysis Techniques(10), Geometric and Algebraic Topology(9)

Publications82 total

An interface-preserving level set update strategy for topology optimisation of mechanical assemblies
Computers & Structures·2025
Can Graph Neural Networks Help Identify Promising Thermal Management System Architectures Among Vast Numbers of Possibilities?
Journal of Mechanical Design·2025
Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
arXiv (Cornell University)·2025Open Access
Extracting Design Information From Optimized Designs of Power Flow Systems: Application to Multisplit Thermal Management System Configuration
Journal of Mechanical Design·2025
Probabilistic learning from real-world observations of systems with unknown inputs for model-form UQ and digital twinning
Computer Methods in Applied Mechanics and Engineering·2025· 3 cited
mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks
arXiv (Cornell University)·2025Open Access
Optimal Design of Vehicle Dynamics Using Gradient-Based, Mixed-Fidelity Multidisciplinary Optimization
arXiv (Cornell University)·2024Open Access
Multi-Split Configuration Design for Fluid-Based Thermal Management Systems
Journal of Mechanical Design·2024· 2 cited
Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction
2024· 1 cited
Extracting Design Knowledge From Optimization Data: Application to Multi-Split Thermal Management System Configuration
2024
Multi-Split Configuration Design for Fluid-Based Thermal Management Systems
2024· 1 cited
Optimal Design of Vehicle Dynamics Using Gradient-based, Mixed-fidelity Multidisciplinary Optimization
2024Open Access
Probabilistic Learning from Real-World Observations of Systems with Unknown Inputs for Model-Form Uq and Digital Twinning
SSRN Electronic Journal·2024Open Access
Multidisciplinary Modular Approach to Kinematic Mechanism Synthesis
2024Open Access
Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction
arXiv (Cornell University)·2023· 1 citedOpen Access
Extracting Design Knowledge from Optimization Data: Enhancing Engineering Design in Fluid Based Thermal Management Systems
arXiv (Cornell University)·2023· 1 citedOpen Access
Multi-split configuration design for fluid-based thermal management systems
arXiv (Cornell University)·2023Open Access
Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov–Galerkin Method
SIAM/ASA Journal on Uncertainty Quantification·2023· 2 cited
BeNTO: Beam Network Topology Optimization
Computer-Aided Design·2022· 1 cited
Anisotropic yield models for lattice unit cell structures exploiting orthotropic symmetry
Computer Methods in Applied Mechanics and Engineering·2022· 3 citedOpen Access
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Frequent Co-authors

Justin Solomon(14), Leonidas Guibas(11), Clark Bray(7), Simon Rubinstein‐Salzedo(7), Mirela Ben‐Chen(6), Hyunmin Cheong(5), Mehran Ebrahimi(4), Raif M. Rustamov(3), Alexander Tessier(3), Saeid Bayat(3), Nastaran Shahmansouri(3), James T. Allison(3), Maks Ovsjanikov(2), Andy Nguyễn(2), Francesco Iorio(2), Frank Pacard(2), Michael Tao(2), Rafe Mazzeo(2), Justin Corvino(2), Jenmy Zimi Zhang(2)