Awesome cond-mat.mtrl-sci

Papers

DeepCormack: Fermi surface tomography using model-based data-driven algorithms (2026)
Georg F. B. Lovric et al.
5.49
When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data (2026)
Giansalvo Cirrincione et al.
4.39
Reinforcement Learning for Laser Additive Manufacturing Scan-Order Optimisation: A Bilevel Proxy--FEA Diagnostic Framework for Reward and World-Model Diagnosis (2026)
Xian Wu et al.
4.27
AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning (2026)
Bjarke Hastrup et al.
4.27
Autonomous Diffractometry Enabled by Visual Reinforcement Learning (2026)
J. Oppliger et al.
1.83
AutoREC: A software platform for developing reinforcement learning agents for equivalent circuit model generation from electrochemical impedance spectroscopy data (2026)
Ali Jaberi (1) et al.
1.83
BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning (2026)
Tarjei Paule Hage and Markus J. Buehler
1.78
Open Materials Generation with Inference-Time Reinforcement Learning (2026)
Philipp Hoellmer et al.
1.72
Boltzmann Reinforcement Learning for Noise resilience in Analog Ising Machines (2026)
Aditya Choudhary et al.
1.72
Reinforcement Learning for Chemical Ordering in Alloy Nanoparticles (2025)
Jonas Elsborg et al.
1.56
AIMatDesign: Knowledge-Augmented Reinforcement Learning for Inverse Materials Design under Data Scarcity (2025)
Yeyong Yu et al.
1.33
PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy (2025)
Ziwei Wei et al.
1.06
SRL-Assisted AFM: Generating Planar Unstructured Quadrilateral Meshes with Supervised and Reinforcement Learning-Assisted Advancing Front Method (2023)
Hua Tong and Kuanren Qian and Eni Halilaj and Yongjie Jessica Zhang
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Searching for High-Value Molecules Using Reinforcement Learning and Transformers (2023)
Raj Ghugare et al.
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