Results 101 to 110 of about 610 (218)

Perspective: Quantum Computing on Magnetic Racetrack

Advanced Electronic Materials, EarlyView.
Magnetic domain walls emerge as mobile qubits on quantum racetracks, where chirality encodes quantum information and current‐driven motion enables flying‐qubit functionality. This Perspective outlines the physical principles, gate mechanisms, material requirements, and experimental roadmap for realizing scalable quantum computing with magnetic textures,
Ji Zou, Jelena Klinovaja, Daniel Loss
wiley   +1 more source

Subharmonic functions and associated measures in ℝ n

SUBHARMONIC FUNCTIONS AND ASSOCIATED MEASURES IN ℝ N Open mathematics (Rights reserved) (-) A kind of identities related to Riemann zeta-function / Chen, Zhuoyu (CC BY) (-) Multiple solutions for the p -biharmonic equation with a polynomial ...
Bajunaid, Ibtesam
core  

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

Advanced Intelligent Discovery, EarlyView.
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade, Isaac Vidal‐Daza, Rafael Gómez‐Bombarelli, James W. Ryan, Francisco J. Martin‐Martinez   +4 more
wiley   +1 more source

Embedding of lattices and K3-covers of an enriques surface

EMBEDDING OF LATTICES AND K3-COVERS OF AN ENRIQUES SURFACE Open mathematics (Rights reserved) (-) A kind of identities related to Riemann zeta-function / Chen, Zhuoyu (CC BY) (-) Multiple solutions for the p -biharmonic equation with a ...
Sonel, Serkan
core  

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Site‐Specific Protein Bioconjugation Through Cellular Incorporation of Noncanonical Amino Acids

Angewandte Chemie, EarlyView.
Genetic code expansion (GCE) enables site‐specific installation of noncanonical amino acids containing bioorthogonal conjugation handles, allowing precise, homogeneous protein modification. This review examines the principles of orthogonal translation, surveys the chemistries available for chemoselective labeling, and highlights emerging multi‐site ...
Rahul Sarkar, Manas Joshi, Abhishek Chatterjee   +2 more
wiley   +2 more sources

p -variation and Chung's LIL of sub-bifractional Brownian motion and applications

P -VARIATION AND CHUNG'S LIL OF SUB-BIFRACTIONAL BROWNIAN MOTION AND APPLICATIONS Open mathematics (Rights reserved) (-) A kind of identities related to Riemann zeta-function / Chen, Zhuoyu (CC BY) (-) Multiple solutions for the p ...
Xie, Huantian, Kuang, Nenghui
core  

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Recurrence relations satisfied by some arithmetic groups

RECURRENCE RELATIONS SATISFIED BY SOME ARITHMETIC GROUPS Open mathematics (Rights reserved) (-) A kind of identities related to Riemann zeta-function / Chen, Zhuoyu (CC BY) (-) Multiple solutions for the p -biharmonic equation with a ...
Kang, Hee Doo, Kim, Chang Heon, Min, Kyeong Seok   +2 more
core  

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source