17 citations · 18 across the 6 of their papers we have counts for
9 papers
Which alloy composition,what process parameters? Inferring the recipe from optimized metallic microstructure and texture
Mahish K. Guru, Jan Bohlen, Louam Lemjid +3
The mechanical properties of a metallic alloy are set by its microstructure and texture: the size and shape of its grains and the orientation of their crystals. That structure is i…
Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design
Mahish K. Guru, Mayank Nagar, Ayush vyas +3
Inverse design of physical systems (molecules, devices, microstructures) often reduces to optimizing a high-dimensional structure against an expensive black-box simulator. Direct s…
MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes
Kartik Bali, Roland Aydin
Identifying and grounding precise geometric entities, such as edges, planar regions, and curved surfaces within 3D objects, is foundational to computer-aided design (CAD), robotic…
GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement
Kartik Bali, Mahish K. Guru, Christian J Cyron +1
Adaptive volumetric finite element meshing traditionally requires iterative PDE solvers or heavily supervised, data-driven surrogates trained on large-scale simulation data. This w…
Enhancing the quality of gauge images captured in smoke and haze scenes through deep learning
Oscar H. Ramírez-Agudelo, Akshay N. Shewatkar, Edoardo Milana +2
Images captured in hazy and smoky environments suffer from reduced visibility, posing a challenge when monitoring infrastructures and hindering emergency services during critical s…
Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials
Marius Tacke, Matthias Busch, Kian Abdolazizi +4
Large language model (LLM)-based agentic frameworks increasingly adopt the paradigm of dynamically generating task-specific agents. We suggest that not only agents but also special…
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis
Kankana Roy, Lars Krämer, Sebastian Domaschke +4
Learning from tabular data is of paramount importance, as it complements the conventional analysis of image and video data by providing a rich source of structured information that…
Active partitioning: inverting the paradigm of active learning
Marius Tacke, Matthias Busch, Kevin Linka +2
Datasets often incorporate various functional patterns related to different aspects or regimes, which are typically not equally present throughout the dataset. We propose a novel,…
T-matrix representation of optical scattering response: Suggestion for a data format
Nigar Asadova, Karim Achouri, Kristian Arjas +39
The transition matrix, frequently abbreviated as T-matrix, contains the complete information in a linear approximation of how a spatially localized object scatters an incident fiel…