Results 241 to 250 of about 1,136,729 (287)

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Diagnosing the innovation atmosphere of industrial parks through urban spatial perception: a multimodal large language model approach. [PDF]

Sci Rep
Chen X, Song Z, Xu L, Zhu J, Niu Q, Cheng G.   +5 more
europepmc   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

An IoT-enabled AI framework for sustainable product design optimizing eco-efficiency using BiLSTM. [PDF]

Sci Rep
Wang W, Wu J, Zhao L.
europepmc   +1 more source

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

Advanced Functional Materials, EarlyView.
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa, Masaki Tsuji, Yoshihiro Furue, Yifan Geng, Satya P. Pati, Satoshi Hamasuna, Takeaki Yajima   +6 more
wiley   +1 more source

Precision detection of micro-damage on conveyor belt surfaces using laser scanning and deep learning techniques. [PDF]

Sci Rep
Li Y, Yang F, Dong J, Wang Z, Yuan C, Wang R.   +5 more
europepmc   +1 more source

TinyML with CTGAN based smart industry power load usage prediction with original and synthetic data visualization towards industry 5.0. [PDF]

Sci Rep
Muthusamy M, Sureshkumar A, Shanmugam P, Kaveri PR, Mohamed MYN, Sridhar S.   +5 more
europepmc   +1 more source

High-dimensional continuous action space control via trust region optimized deep reinforcement learning. [PDF]

Sci Rep
Wang X.
europepmc   +1 more source

Dataset for optimized design parameters of three-phase induction motors with validation through machine learning. [PDF]

Data Brief
Potnuru UK, Teegala SK, Kalabarige LR, Ippili V, Holla MR.   +4 more
europepmc   +1 more source

Magnetic Barkhausen Noise Sensor: A Comprehensive Review of Recent Advances in Non-Destructive Testing and Material Characterization. [PDF]

Sensors (Basel)
Vourna P, Falara PP, Ktena A, Hristoforou EV, Papadopoulos ND.   +4 more
europepmc   +1 more source