Results 151 to 160 of about 7,124 (268)

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Reentrant superconductivity in a naturally occurring Josephson junction array tuned by radio-frequency power. [PDF]

Nat Commun
Avraham S, Sankar S, Sandik S, Burshtein A, Goldstein M, Sela E, Dagan Y.   +6 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Prepatterned Superconducting Contacts for Clean Superconductor-Topological Material Interfaces Enabling Long-Range Josephson Coupling. [PDF]

Nano Lett
Choi YB, Choi CW, Holtzman L, Kim H, Kang S, Watanabe K, Taniguchi T, Hone J, Kim JS, Choi SY, Lee GH.   +10 more
europepmc   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

Anyon delocalization transitions out of a disordered fractional quantum anomalous Hall insulator. [PDF]

Proc Natl Acad Sci U S A
Shi ZD, Senthil T.
europepmc   +1 more source

Ising Solver Using Vertical NAND Flash Memory

Advanced Intelligent Systems, EarlyView.
Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park, Yeongheon Yang, Jong‐Won Back, Jiseong Im, Ryun‐Han Koo, Jonghyun Ko, Dongseok Kwon, Jong‐Ho Lee   +7 more
wiley   +1 more source

The path to room-temperature superconductivity: A programmatic approach. [PDF]

Proc Natl Acad Sci U S A
Prasankumar RP, Julian M, Hutcheon M, Heil C, Deng L, Basov D, Chu CW, Comin R, Kim P, Meredig B, Pickard C, E Pickett W, Strobel T, Wolf S, Zurek E, Myhrvold N.   +15 more
europepmc   +1 more source

Management of Iron Overload in Infants and Toddlers With Diamond–Blackfan Anemia Syndrome: A French–Italian Study

American Journal of Hematology, EarlyView.
ABSTRACT Diamond–Blackfan Anemia Syndrome (DBAS) is a rare congenital anemia often requiring chronic red blood cell transfusions from infancy. Without appropriate chelation, iron overload develops early and may be severe; however, no data are available on chelation in patients under 3 years of age.
Francesca Torchio, Baptiste Lecalvez, Emanuela Garelli, Coralie Mallebranche, Adriana Carando, Marie‐Pierre Castex, Nathalie Garnier, Marco Zecca, Nathalie Aladjidi, Elisa Bertoni, Arthur Sterin, Maria Licciardello, Anne Sirvent, Antonella Sau, Isabelle Marie, Benedicte Bruno, Lydie M. Da Costa, Franca Fagioli, Paola Quarello, Thierry Leblanc   +19 more
wiley   +1 more source

Emergent Spin Hall Quantization and High‐Order van Hove singularities in Square‐Octagonal MA2Z4

Advanced Physics Research, EarlyView.
Square‐octagonal MA2Z4 (M = Mo/W, A = Si/Ge, Z = pnictogen) monolayers are predicted to realize quantum spin Hall insulators with nearly quantized spin Hall conductivity enabled by an emergent spin U(1) quasi‐symmetry. Materials with Z = As and Sb host quasi‐flat bands with high‐order van Hove singularities near the Fermi level, making them promising ...
Rahul Verma, Yash Vardhan, Hsin Lin, Bahadur Singh   +3 more
wiley   +1 more source