Results 201 to 210 of about 96,015 (345)

Critical behavior of Fredenhagen-Marcu string order parameters at topological phase transitions with emergent higher-form symmetries. [PDF]

npj Quantum Inf
Xu WT, Pollmann F, Knap M.
europepmc   +1 more source

Triangulated surfaces in twistor space: a kinematical set up for open/closed string duality [PDF]

, 2006
Mauro Carfora, Claudio Dappiaggi, Valeria L Gili   +2 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Mock Modularity at Work, or Black Holes in a Forest. [PDF]

Entropy (Basel)
Alexandrov S.
europepmc   +1 more source

Constraints on the String T-Duality Propagator from the Hydrogen Atom [PDF]

, 2019
Michael F. Wondrak, Marcus Bleicher
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Entanglement and the density matrix renormalization group in the generalized Landau paradigm. [PDF]

Nat Phys
Lootens L, Delcamp C, Verstraete F, Verstraete F.   +3 more
europepmc   +1 more source

Comments on new multiple-brane solutions based on Hata-Kojita duality in open string field theory [PDF]

, 2014
Toru Masuda
openalex   +1 more source

Comparative Neuromechanical Wing‐Actuation Architectures of Flapping Flight in Insects, Hummingbirds, and Robots

Advanced Intelligent Systems, EarlyView.
Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal, Jean‐Michel Mongeau, Bret W. Tobalske, Christopher Rahn, Bo Cheng   +4 more
wiley   +1 more source