Results 101 to 110 of about 3,914 (164)

Monopole-mediated light control of half skyrmion topology in nematic liquid crystals. [PDF]

Nat Commun
Asilehan Z, Tang W, Zheng X, Wang R, Zhang J, Tian K, Vergara F, Shi Q, Chen Z, Jiang J, Zhang R, Peng C.   +11 more
europepmc   +1 more source

A Bond-Level Sequence Framework for Molecular Representation Learning with Structural Constraints. [PDF]

Molecules
Fan H, Qi H, Huang X, Zhu D, Wang N, Wang T, Hao H.   +6 more
europepmc   +1 more source

Strings and topological defects govern ordering kinetics in endothelial cell layers. [PDF]

Nat Phys
Ruider I, Thijssen K, Vannier DR, Paloschi V, Sciortino A, Doostmohammadi A, Bausch AR.   +6 more
europepmc   +1 more source

Quantum circuit complexity and unsupervised machine learning of topological order. [PDF]

Nat Commun
Che Y, Gneiting C, Wang X, Nori F.
europepmc   +1 more source

Machine learning for smell: ordinal odor strength prediction of molecular perfumery components. [PDF]

RSC Adv
Fichtelmann P, Westermayr J.
europepmc   +1 more source

Improving hERG Cardiotoxicity Prediction via SMILES Transformer, Molecular Fingerprints, and Layer-Wise Self-Adaptive Graph Attention Network. [PDF]

ACS Omega
Beidja C, Bousselham A, En-Naimani Z, Mestari M.   +3 more
europepmc   +1 more source

A systematic review of molecular representation learning foundation models. [PDF]

Brief Bioinform
Song B, Zhang J, Liu Y, Liu Y, Jiang J, Yuan S, Zhen X, Liu Y.   +7 more
europepmc   +1 more source

Probing the Kitaev honeycomb model on a neutral-atom quantum computer. [PDF]

Nature
Evered SJ, Kalinowski M, Geim AA, Manovitz T, Bluvstein D, Li SH, Maskara N, Zhou H, Ebadi S, Xu M, Campo J, Cain M, Ostermann S, Yelin SF, Sachdev S, Greiner M, Vuletić V, Lukin MD.   +17 more
europepmc   +1 more source

Neurotoxicity Prediction of Compounds: Integrating Knowledge-Guided Graph Representations with Machine Learning Approaches. [PDF]

Int J Mol Sci
Jiang Y, Gao Y, He Y, Xing S, Han W.
europepmc   +1 more source

Uncovering Structure-Conductivity Relationships in Anion Exchange Membranes (AEMs) Using Interpretable Machine Learning. [PDF]

Membranes (Basel)
Naghshnejad P, Das D, Romagnoli JA, Kumar R, Chen J.   +4 more
europepmc   +1 more source