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| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Showing 31-41 of 41 papers (page 2 of 2)路 142 ms
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
| Machine intelligence supports the full chain of 2D dendrite synthesis Fangping Ouyang, Huanhuan Xing, Jin Zhang, Junjie Jiang Published: 2026-03-17Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-03-17 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E5 / R3 (95%) | - |
| Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation Andrew Ritchhart, Dan Thien Nguyen, Elias Nakouzi, Krista Kulesa Published: 2026-03-16Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-03-16 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E8 / R8 (90%) | - |
| LLM-Driven Discovery of High-Entropy Catalysts via Retrieval-Augmented Generation AI Scientists, Danqing Yin, Xinyi Lin, Ying Guo Published: 2026-03-16Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-03-16 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E5 / R3 (95%) | - |
| Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials Abhinaba Basu, Pavan Chakraborty Published: 2026-03-12Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-03-12 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E6 / R3 (98%) | - |
| From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery Iman Peivaste, Salim Belouettar Published: 2026-03-10Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-03-10 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E4 / R3 (95%) | - |
| AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials Arnaud Demorti猫re, Chlo茅 Pablos, Fay莽al Adrar, Fran莽ois Cadiou Published: 2026-03-08Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-03-08 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E4 / R2 (95%) | - |
| Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects Ankita Biswas, Ferdinando Fioretto, Jacob K. Christopher, Jingyi Cui Published: 2026-02-22Area: cond-mat.mtrl-sciCitations: 41 Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-02-22 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E7 / R5 (91%) | 41 |
| Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models Chenyi Ji, Christian J. Cyron, Hagen Holthusen, Kevin Linka Published: 2026-02-19Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-02-19 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E10 / R9 (91%) | - |
| NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction Jinming Mu, Lixin He, Shi Yin, Xudong Zhu Published: 2026-02-19Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-02-19 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E10 / R7 (90%) | - |
| AI-Driven Structure Refinement of X-ray Diffraction Bin Cao, Jiaqiang Huang, Lu-Tao Weng, Qian Zhang Published: 2026-02-18Area: cond-mat.mtrl-sciCitations: - Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-02-18 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E10 / R7 (91%) | - |
| A fully differentiable framework for training proxy Exchange Correlation Functionals for periodic systems Aryan Amit Barsainyan, Bharath Ramsundar, Rakshit Kumar Singh Published: 2026-02-17Area: cond-mat.mtrl-sciCitations: 12 Tags: ai-safety, cond-matmtrl-sci, preprint | 2026-02-17 | cond-mat.mtrl-sci | ai-safety, cond-matmtrl-sci, preprint | E13 / R11 (92%) | 12 |