Results 141 to 150 of about 545,363 (263)

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang   +11 more
wiley   +1 more source

Retraction Note: Enhancing blockchain transaction classification with ensemble learning approaches. [PDF]

open access: yesSci Rep
Panigrahi A   +7 more
europepmc   +1 more source

Superlattice Architectures for Advancing Photothermal Catalysis: Mechanisms and Applications

open access: yesAdvanced Science, EarlyView.
This paper provides a timely overview of superlattice architectures in photothermal catalysis, with a systematic review on mechanisms at both atomic and macroscopic scales in different processes, challenges, and future opportunities. ABSTRACT Photothermal catalysis has emerged as a powerful strategy to complement photocatalysis by harnessing full ...
Yuzhao Wu   +5 more
wiley   +1 more source

Capacitive Pixelated CMOS Electronic Nose

open access: yesAdvanced Electronic Materials, EarlyView.
A 1024‐pixel CMOS capacitive E‐nose with inkjet‐printed MOFs and polymer layers yields gas‐specific capacitance fingerprints under humid conditions, discriminating toluene from 2‐butanone at low power. ABSTRACT Although some of the human senses can nowadays be replaced by low‐cost electronic sensors such as microphones and image sensors, a compact low ...
M. A. Basyooni‐M. Kabatas   +7 more
wiley   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Engineering Na‐Rich P2‐Type Layered Oxides Through Li/Ti Dual Doping for Oxygen Redox Activation and Superior Structural Stability

open access: yesAdvanced Energy Materials, EarlyView.
P2‐type sodium layered oxides have potential for high‐voltage operation but suffer from structural instability and capacity fading. This work demonstrates that synergistic Li and Ti co‐doping enhances sodium inventory, suppresses detrimental phase transitions, and activates reversible lattice oxygen redox.
Rishika Jakhar   +16 more
wiley   +1 more source

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