Results 81 to 90 of about 761 (208)

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

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

Advanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi, Pedram Khalili Amiri, Stefano Chiappini, Anna Giordano, Mario Carpentieri, Hyunsoo Yang, Massimo Chiappini, Giovanni Finocchio   +9 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Principal minors of Gaussian orthogonal ensemble

PRINCIPAL MINORS OF GAUSSIAN ORTHOGONAL ENSEMBLE Forum mathematicum (Rights reserved) (-) Inhomogeneous Khintchine–Groshev-type theorems on manifolds over function fields / Das, Sourav (Rights reserved) (-) Rational points in Cantor sets and
Yao, Dong, Feng, Renjie, Wei, Dongyi, Tian, Gang   +3 more
core  

Continuous and Large‐Scale: ELEANOR, the Soft Architected Arm Inspired by the Elephant Trunk

Advanced Intelligent Systems, EarlyView.
A large‐scale, architected continuum robot inspired by the macroscopic properties of the African elephant trunk achieves adaptive elephant‐like movements and whole‐body grasping. The results demonstrate that designing from the natural system’s macroscopic properties, rather than prescribing behaviors, provides a powerful strategy for developing ...
Giovanna A. Naselli, Anderson B. Nardin, Seonggun Joe, Ryan Drinkwater, Enrico Donato, Diego Bianchi, Egidio Falotico, Michel C. Milinkovitch, Lucia Beccai   +8 more
wiley   +1 more source

The sum of a prime power and an almost prime

THE SUM OF A PRIME POWER AND AN ALMOST PRIME Forum mathematicum (Rights reserved) (-) Inhomogeneous Khintchine–Groshev-type theorems on manifolds over function fields / Das, Sourav (Rights reserved) (-) Rational points in Cantor sets and ...
Johnston, Daniel R., Thomas, Simon N.
core  

A Multidimensional Perspective on Network Conditions in Telesurgery

Advanced Intelligent Systems, EarlyView.
A multidimensional framework systematically evaluates how combined network impairments influence telesurgical performance. By jointly analyzing latency, jitter, bandwidth, and packet loss, the proposed methodology identifies relevant network condition parameters and their interactions, supporting the design of reliable and safe telesurgical systems ...
Florian Heemeyer, Marco Cina, Ege Cem Kirci, Laurent Vanbever, Quentin Boehler   +4 more
wiley   +1 more source

Moments of primes in progressions to a large modulus

MOMENTS OF PRIMES IN PROGRESSIONS TO A LARGE MODULUS Forum mathematicum (Rights reserved) (-) Inhomogeneous Khintchine–Groshev-type theorems on manifolds over function fields / Das, Sourav (Rights reserved) (-) Rational points in Cantor sets
Leung, Sun-Kai
core  

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

American Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen, Wei Zhang, Julian M. Alston   +2 more
wiley   +1 more source

On integral aspects of Asai periods and Euler systems for Res E/ℚ GL 2

ON INTEGRAL ASPECTS OF ASAI PERIODS AND EULER SYSTEMS FOR RES E/ℚ GL 2 Forum mathematicum (Rights reserved) (-) Inhomogeneous Khintchine–Groshev-type theorems on manifolds over function fields / Das, Sourav (Rights reserved) (-) Rational ...
Groutides, Alexandros
core