Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu +15 more
wiley +1 more source
Support Vector Machines in Polymer Science: A Review. [PDF]
Malashin I +4 more
europepmc +1 more source
Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. [PDF]
Li C +8 more
europepmc +1 more source
De Novo Autogenic Engineered Living Functional Materials
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad +9 more
wiley +1 more source
Classification of Speech and Associated EEG Responses from Normal-Hearing and Cochlear Implant Talkers Using Support Vector Machines. [PDF]
Raghavendra S, Lee S, Tan CT.
europepmc +1 more source
Churn prediction in telecommunication industry using kernel Support Vector Machines. [PDF]
Y NN, Ly TV, Son DVT.
europepmc +1 more source
Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir +2 more
wiley +1 more source
AT-TSVM: Improving Transmembrane Protein Inter-Helical Residue Contact Prediction Using Active Transfer Transductive Support Vector Machines. [PDF]
Almalki B, Sawhney A, Liao L.
europepmc +1 more source
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee +13 more
wiley +1 more source
Sustainable engineering of fiber-reinforced geopolymer-treated low plasticity clay linking geomechanics and microstructure through support vector machines. [PDF]
Syed M +4 more
europepmc +1 more source

