Results 111 to 120 of about 145,155 (289)

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

Advanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang, Muyang Chen, Gengyi Bao, Yan Lai, Jinghe Cao, Xinhua Liu, Rui Tan   +6 more
wiley   +1 more source

Rekomendasi Pemilihan Jenis Tanaman Menggunakan Algoritma Random Forest dan XGBoost Regressor

Computer Science
Rekomendasi tanaman yang sesuai dengan kondisi lingkungan dan nutrisi tanah tempat tanaman ditanam dapat memberikan hasil panen yang optimal. Penerapan machine learning pada bidang pertanian telah banyak dilakukan terutama untuk meningkatkan hasil panen.
Abdul Rahman, Daniel Udjulawa, Mulyati Mulyati   +2 more
doaj   +1 more source

Adaptive Least Error Rate Algorithm for Neural Network Classifiers

, 2001
We consider sample-by-sample adaptive training of two-class neural network classifiers. Specific applications that we have in mind are communication channel equalization and code-division multiple-access (CDMA) multiuser detection. Typically, training of
Chen, S., Hanzo, L., Mulgrew, B.
core   +1 more source

Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

Advanced Science, EarlyView.
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng   +9 more
wiley   +1 more source

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Advanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng, Yufan Zhao, Mingyang Cao, Haiou Yang, Pan Wang, Hongze Wang, Hao Wang, Akihiko Chiba, Xin Lin   +8 more
wiley   +1 more source

AP‐Lab: An AI‐Driven Autonomous Pilot‐Scale Platform Bridging Materials Discovery and Industrial Manufacturing

Advanced Science, EarlyView.
AP‐Lab bridges materials discovery and industrial manufacturing by coupling proprietary datasets with an application benchmark (PCR Ct). A closed‐loop optimization workflow integrates ML, LLM, and autonomous synthesis/testing to refine magnetic nanoparticles–based nucleic‐acid extraction systems.
Zhan‐Long Wang, Zhifen Ma, Wenxing Song, Guolai Jiang, Boshi Jiang, Mingyang Jiang, Weiliang Shu, Bing Wang, Zhiyuan Wan, Shengyong Geng, Zhen Zhao, Wenhua Zhou, Xue‐Feng Yu   +12 more
wiley   +1 more source

Role of Wadsley Defects and Cation Disorder to Enhance MoNb12O33 Diffusion

Advanced Energy Materials, EarlyView.
Wadsley‐Roth niobates are high‐rate capable and durable anode materials for lithium‐ion batteries. Defect‐tailoring of MoNb12O33 is shown to substantially enhance lithium diffusion. Computational models were used to separate the effects of cation disorder and Wadsley defects to identify that both led to the occupation of fast diffusion sites at lower ...
CJ Sturgill, Manish Kumar, Nima Karimitari, Iva Milisavljevic, Coby S. Collins, Aaron Hegler, Hsin‐Yun Joy Chao, Santosh Kiran Balijepalli, Scott T. Misture, Christopher Sutton, Morgan Stefik   +10 more
wiley   +1 more source

Enhancing Ion‐Electron Transport in Positive Electrode of Solid‐State Lithium Metal Batteries With Multifunctional Catholyte Made of Polymer Mixed Ionic‐Electronic Conductor PEDOT:PSSTFSI and Li3InCl6

Advanced Energy Materials, EarlyView.
A mixed ion‐electron conducting polymer binder, PEDOT:PSSTFSI, enhances both ionic and electronic transport in NMC‐based positive electrode composite (PEC) for ASSBs. Optimal polymer loading (0.33 wt.% in PEC) provides the most balanced transport, with an effective conductivities (σel/σion) ratio closest to unity, enabling high discharge capacity at 1 ...
Elina Nazmutdinova, Ivone Marselina Nugraha, Jacob Olchowka, Eric Cloutet, Cyril Brochon, André H. Gröschel, Laurence Croguennec   +6 more
wiley   +1 more source

Constructing a new estimator for estimating population mean utilizing auxiliary information in probability proportional to size sampling

Alexandria Engineering Journal
In some instances, the size of the target population might exhibit significant variation. In the medical investigation, the number of individuals troubled with a certain infection and the scale of the medical facilities may differ.
Safar M. Alghamdi, Sohaib Ahmad, Sanaa Mohammed Almarzouki, Badr Aloraini, Majdah Mohammed Badr, M.A. Abdelkawy   +5 more
doaj   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Advanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun   +2 more
wiley   +1 more source