Results 181 to 190 of about 2,413 (304)

Compatibility of Drinfeld presentations for split affine Kac-Moody quantum symmetric pairs. [PDF]

Lett Math Phys
Li JR, Przeździecki T.
europepmc   +1 more source

SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. [PDF]

IEEE Trans Med Imaging, 2023
Ong F, Zhong Z, Liao C, Lustig M, Vasanawala SS, Pauly JM.   +5 more
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

An improved blind watermarking scheme for color image copyright protection using Hahn moments. [PDF]

Sci Rep
Elbatawy NI, Karawia AA, El-Gayar MM, Fouda YM.   +3 more
europepmc   +1 more source

Real‐Time Investigation of Interfacial Evolution in Electrochemical Energy Storage Systems via EQCM

Advanced Science, EarlyView.
Understanding the electrode/electrolyte interface (EEI) is crucial for supercapacitors and batteries. EQCM, by enabling real‐time monitoring of mass changes during charge–discharge cycles, has evolved into a vital method for analysis of EEI. It provides important insights into charge‐storage mechanisms, electrode structural evolution, ion‐transfer ...
Zixuan Wang, Situo Cheng, Guang Feng
wiley   +1 more source

Complementary Polynomials in Quantum Signal Processing. [PDF]

Commun Math Phys
Berntson BK, Sünderhauf C.
europepmc   +1 more source

Factorization of quaternionic polynomials of bi-degree (n,1). [PDF]

Beitr Algebra Geom, 2023
Lercher J, Scharler D, Schröcker HP, Siegele J.   +3 more
europepmc   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Enhancing IoT security through cloud-assisted post-quantum authentication: a case study with UOV signatures. [PDF]

Sci Rep
Maned VR, Rath S, Ramalingam J, Kuppusamy L.   +3 more
europepmc   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source